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The main responsibility of a Support Engineer is to help users solve technical challenges and use Mixpanel to make impactful product decisions.</p>\n<p>We’ve had team members focus on developing their technical skills to join the product and engineering teams, hone their customer-facing skills to become customer success managers or sales engineers, and take on leadership roles in the Support organization.</p>\n<p>Responsibilities</p>\n<p>The core responsibility of a Support Engineer is to support our customers at every turn in the Mixpanel journey by providing answers to product questions, sharing best practices, and debugging technical issues.</p>\n<p>You&#39;ll also develop your technical skills, collaborate with our Product team to improve our product, learn product analytics, and mentor new team members.</p>\n<p>Become a Mixpanel product expert - you will help users understand our reports and features, help them use our APIs and SDKs, share best practices, and resolve account issues</p>\n<p>Respond to customer inquiries via Zendesk email, chat, Slack, and phone calls</p>\n<p>Investigate and document bugs and feature requests to share with our Product and Engineering teams</p>\n<p>Provide feedback regarding internal support processes, product functionality, and customer education resources to improve the customer experience</p>\n<p>Shape the product by regularly working closely with PM’s, engineers, and designers to incorporate customer learnings into change</p>\n<p>We&#39;re Looking For Someone Who Has</p>\n<p>Experience providing customer facing SAAS support (in customer support, professional services, technical account management or similar)</p>\n<p>Ability to communicate technical concepts effectively in a clear, friendly writing style</p>\n<p>Excellent problem-solving and analytical skills</p>\n<p>Programming experience, understanding of web &amp; 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Additional Company Holidays</p>\n<p>Enhanced Parental Leave</p>\n<p>Volunteer Time Off</p>\n<p>Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break</p>\n<p>Culture Values</p>\n<p>Make Bold Bets: We choose courageous action over comfortable progress.</p>\n<p>Innovate with Insight: We tackle decisions with rigor and judgment - combining data, experience and collective wisdom to drive powerful outcomes.</p>\n<p>One Team: We collaborate across boundaries to achieve far greater impact than any of us could accomplish alone.</p>\n<p>Candor with Connection: We build meaningful relationships that enable honest feedback and direct conversations.</p>\n<p>Champion the Customer: We seek to deeply understand our customers’ needs, ensuring their success is our north star.</p>\n<p>Why choose Mixpanel?</p>\n<p>We’re a leader in analytics with over 9,000 customers and $277M raised from prominent investors: like Andreessen-Horowitz, Sequoia, YC, and, most recently, Bain Capital.</p>\n<p>Mixpanel’s pioneering event-based data analytics platform offers a powerful yet simple solution for companies to understand user behaviors and easily track overarching company success metrics.</p>\n<p>Our accomplished teams continuously facilitate our expansion by tackling the ever-evolving challenges tied to scaling, reliability, design, and service.</p>\n<p>Choosing to work at Mixpanel means you’ll be helping the world’s most innovative companies learn from their data so they can make better decisions.</p>\n<p>Mixpanel is an equal opportunity employer supporting workforce diversity.</p>\n<p>At Mixpanel, we are focused on things that really matter,our people, our customers, our partners,out of a recognition that those relationships are the most valuable assets we have.</p>\n<p>We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply.</p>\n<p>We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status.</p>\n<p>Pursuant to the San Francisco Fair Chance Ordinance or other similar laws that may be applicable, we will consider for employment qualified applicants with arrest and conviction records.</p>\n<p>We’ve immersed ourselves in our Culture and Values as our guiding principles for the impact we want to have and the future we are building.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_b3cf0ff9-4c6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mixpanel","sameAs":"https://mixpanel.com","logo":"https://logos.yubhub.co/mixpanel.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/mixpanel/jobs/7650541","x-work-arrangement":"hybrid","x-experience-level":null,"x-job-type":"full-time","x-salary-range":null,"x-skills-required":["customer facing SAAS support","technical concepts","problem-solving","programming experience","web & mobile technologies","APIs","debugging","collaboration","SLA based support","dedicated support","Hebrew","English"],"x-skills-preferred":["Mixpanel","analytics tools","databases","cloud data warehouses","product analytics implementation methods","SDKs","Customer Data Platforms","Event Streaming","Reverse ETL"],"datePosted":"2026-04-18T15:57:10.436Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tel Aviv, Israel (Hybrid)"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"customer facing SAAS support, technical concepts, problem-solving, programming experience, web & mobile technologies, APIs, debugging, collaboration, SLA based support, dedicated support, Hebrew, English, Mixpanel, analytics tools, databases, cloud data warehouses, product analytics implementation methods, SDKs, Customer Data Platforms, Event Streaming, Reverse ETL"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_771ab1e8-74e"},"title":"Field Test Engineer, Maritime","description":"<p>We are seeking a motivated individual to join our team as a Field Test Engineer, Maritime. As a Field Test Engineer, you will work within a dynamic team of multidisciplinary engineers and specialists throughout the life of AUV design, integration, and test efforts. Your primary responsibilities will include hands-on troubleshooting, repair, operation, and maintenance of AUVs in the field. You will lead day-to-day local operations for multiple AUV platforms, including conducting pre-mission testing, launch and recovery, vehicle tasking, and data analysis. Additionally, you will deploy globally in support of at-sea AUV operations from a variety of support vessel types.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Work within a dynamic team of multidisciplinary engineers and specialists throughout the life of AUV design, integration, and test efforts</li>\n<li>Take on the principal responsibilities of the hands-on troubleshooting, repair, operation, and maintenance of AUVs in the field</li>\n<li>Lead day-to-day local operations for multiple AUV platforms, including conducting pre-mission testing, launch and recovery, vehicle tasking, and data analysis</li>\n<li>Deploy globally in support of at-sea AUV operations from a variety of support vessel types</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>5+ years experience operating robotic systems at-sea in a commercial or research offshore environment</li>\n<li>Ability to adapt quickly and learn in a fast-paced and dynamic work environment</li>\n<li>Experience with leading on deck operations utilizing ship based crane, a-frame, or dedicated AUV launch and recovery systems</li>\n<li>Experience with Linux and command line interfaces as well as software debugging</li>\n<li>Knowledge of electronics troubleshooting and basic use of test equipment</li>\n<li>Experience with Microsoft Excel</li>\n<li>Extremely organized and detail-oriented</li>\n<li>Demonstrated experience with subsea operational procedures and equipment</li>\n<li>Excellent communication and customer support skills</li>\n<li>Ability to lift up to 50 lbs</li>\n<li>Ability to be in office in Quincy, MA daily when not deployed</li>\n<li>Ability to deploy up to 50% of the time</li>\n<li>Eligible to obtain and maintain an active U.S. Top Secret security clearance</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Experience with software development</li>\n<li>Experience integrating subsea acoustic sensors, underwater navigation, and communication systems</li>\n<li>Proficient in reading and understanding engineering drawings and specifications</li>\n<li>Knowledge of offshore HSE policies and best practices</li>\n</ul>\n<p>Salary Range: $113,000-$149,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_771ab1e8-74e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anduril","sameAs":"https://www.anduril.com/","logo":"https://logos.yubhub.co/anduril.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/andurilindustries/jobs/5037035007","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$113,000-$149,000 USD","x-skills-required":["robotic systems","subsea operations","electronics troubleshooting","Linux","command line interfaces","software debugging","Microsoft Excel","subsea operational procedures","equipment operation"],"x-skills-preferred":["software development","subsea acoustic sensors","underwater navigation","communication systems","engineering drawings","HSE policies"],"datePosted":"2026-04-18T15:56:58.165Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Quincy, Massachusetts, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"robotic systems, subsea operations, electronics troubleshooting, Linux, command line interfaces, software debugging, Microsoft Excel, subsea operational procedures, equipment operation, software development, subsea acoustic sensors, underwater navigation, communication systems, engineering drawings, HSE policies","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":113000,"maxValue":149000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ac45e205-e7d"},"title":"Engineering Manager, Inference Routing and Performance","description":"<p><strong>About the role\\nEvery request that hits Claude , from claude.ai, the API, our cloud partners, or internal research , passes through a routing decision. Not a generic load balancer round-robin, but a decision that accounts for what&#39;s already cached where, which accelerator the request runs best on, and what else is in flight across the fleet.\\n\\nGet it right and you extract meaningfully more throughput from the same hardware. Get it wrong and you burn capacity, miss latency SLOs, or shed load that shouldn&#39;t have been shed.\\n\\nThe Inference Routing team owns this layer. We build the cluster-level routing and coordination plane for Anthropic&#39;s inference fleet , the system that sits between the API surface and the inference engines themselves, making fleet-wide efficiency decisions in real time.\\n\\nAs Anthropic moves from &quot;many independent inference replicas&quot; toward &quot;a single warehouse-scale computer running a coordinated program,&quot; Dystro is the coordination layer. This is a deeply technical team.\\n\\nThe engineers here design custom load-balancing algorithms, build quantitative models of system performance, debug latency spikes that cross kernel, network, and framework boundaries, and reason carefully about cache placement across thousands of accelerators.\\n\\nThey work shoulder-to-shoulder with teams that write kernels and ML framework internals.\\n\\nThe EM for this team doesn&#39;t need to write kernels , but they do need the systems depth to make architectural calls, evaluate deeply technical candidates, and spot when a proposed optimization will have second-order effects on the fleet.\\n\\nYou&#39;ll inherit a strong team of distributed-systems engineers, and you&#39;ll be accountable for two things that pull in different directions: shipping system-level performance improvements that measurably increase fleet throughput and efficiency, and running the team operationally so that deploys are safe, incidents are rare, and the teams who depend on Dystro can plan around you with confidence.\\n\\nThe job is holding both.\\n\\n## Representative work:\\nThings the Inference Routing EM actually spends time on:\\n- Deciding whether a proposed routing algorithm change is worth the deploy risk, given the modeled throughput gain and the blast radius if it regresses\\n- Sequencing a quarter where KV-cache offload, a new coordination protocol, and two model launches all compete for the same engineers\\n- Working through a persistent tail-latency regression with the team , walking down from fleet-level metrics to per-replica behavior to a root cause in the networking stack\\n- Building the case (with numbers) to peer teams for why a cross-team protocol change unlocks the next efficiency win\\n- Running the post-incident review after a cache-eviction bug caused a capacity event, and turning it into process changes that stick\\n- Interviewing a candidate who has built schedulers at supercomputing scale, and deciding whether they&#39;d be additive to a team that already goes deep\\n\\n## What you&#39;ll do:\\nDrive system-level performance\\n- Own the technical roadmap for cluster-level inference efficiency , routing decisions, cache placement and eviction, cross-replica coordination, and the protocols that keep routing and inference engines in sync\\n- Partner with the inference engine, kernels, and performance teams to identify fleet-level throughput and latency wins, then turn those into shipped improvements with measurable results\\n- Build the team&#39;s habit of quantitative performance modeling: claim a win only when you can measure it, and know before you ship what the expected effect is\\n\\nDeliver reliably and operate cleanly\\n- Set technical strategy for how routing evolves across heterogeneous hardware (GPUs, TPUs, Trainium) and across all our serving surfaces\\n- Run the team&#39;s operational backbone , on-call rotation, incident response, postmortem review, deploy safety , so the team can ship aggressively without the system becoming fragile\\n- Create clarity at a seam: Inference Routing sits between the API surface, the inference engines, and the cloud deployment teams. You&#39;ll make sure commitments are realistic, dependencies are understood, and nobody is surprised\\n\\nBuild and grow the team\\n- Develop and retain a strong existing team, and hire against the bar described above: people who can go to the OS and framework level when the problem demands it, and who care about production reliability\\n- Coach engineers through a roadmap where priorities shift with model launches, new hardware, and scaling demands. We pair a lot here , you&#39;ll help make that collaboration pattern productive\\n- Pick up slack when it matters. This is a small team in a critical path; sometimes the EM is the one unblocking a stuck deploy or synthesizing a design debate\\n\\n## You may be a good fit if you:\\n- Have 5+ years of engineering management experience, ideally with at least part of that leading teams on critical-path production infrastructure at scale\\n- Have a deep systems background , load balancing, scheduling, cache-coherent distributed state, high-performance networking, or similar. You need enough depth to make architectural calls about routing and efficiency, and to evaluate candidates who go to the kernel and framework level\\n- Have shipped performance improvements in large-scale systems and can explain, with numbers, what the impact was\\n- Have run production infrastructure with real operational stakes: on-call, incident response, capacity events, deploy discipline\\n- Are results-oriented with a bias toward impact, and comfortable working in a space where throughput, latency, stability, and feature velocity all pull in different directions\\n- Build strong relationships across team boundaries , this is a seam role, and much of the job is making sure other teams can rely on yours\\n- Are curious about machine learning systems. You don&#39;t need an ML research background, but you should want to learn how transformer inference actually works and how that shapes the systems problems\\n\\nStrong candidates may also have:\\n- Experience with LLM inference serving , KV caching, continuous batching, request scheduling, prefill/decode disaggregation\\n- Background in cluster schedulers, load balancers, service meshes, or coordination planes at scale\\n- Familiarity with heterogeneous accelerator fleets (GPU/TPU/Trainium) and how hardware differences affect workload placement\\n- Experience with GPU/accelerator programming, ML framework internals, or OS-level performance debugging , enough to follow and evaluate the technical work, not necessarily to do it daily\\n- Led teams at supercomputing or hyperscaler infrastructure scale\\n- Led teams through rapid-growth periods where hiring and onboarding competed with roadmap delivery\\n\\nThe annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\\nAnnual Salary: $405,000-$485,000 USD</strong></p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ac45e205-e7d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5155391008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$405,000-$485,000 USD","x-skills-required":["engineering management","distributed systems","load balancing","scheduling","cache-coherent distributed state","high-performance networking","machine learning systems"],"x-skills-preferred":["LLM inference serving","cluster schedulers","load balancers","service meshes","coordination planes","heterogeneous accelerator fleets","GPU/TPU/Trainium","GPU/accelerator programming","ML framework internals","OS-level performance debugging"],"datePosted":"2026-04-18T15:56:48.587Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"engineering management, distributed systems, load balancing, scheduling, cache-coherent distributed state, high-performance networking, machine learning systems, LLM inference serving, cluster schedulers, load balancers, service meshes, coordination planes, heterogeneous accelerator fleets, GPU/TPU/Trainium, GPU/accelerator programming, ML framework internals, OS-level performance debugging","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":405000,"maxValue":485000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c1bcd7d3-b33"},"title":"Software Engineer, Fullstack (Omnichannel)","description":"<p>About Dialpad</p>\n<p>Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time.</p>\n<p>We&#39;re seeking a talented and experienced Software Full-Stack Engineer passionate about building high-quality, scalable web applications using modern frontend &amp; backend technologies to build the next generation of our omnichannel Contact Center products.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Develop and maintain Dialpad&#39;s web applications using modern front-end and back-end technologies.</li>\n<li>Provide estimates on technical resources and requirements necessary to plan and begin projects.</li>\n<li>Take responsibility for executing projects in the omnichannel contact center communications space. Assist and drive, as needed, to ensure the team meets its delivery milestones.</li>\n<li>Develop well-tested features with appropriate test hooks, resulting in low defect reports and faster engineering throughput.</li>\n<li>Review technical designs to ensure features/products are well-integrated and fully meet business needs.</li>\n<li>Participate in code reviews, design discussions, and other team activities to ensure high-quality software delivery.</li>\n<li>Troubleshoot and debug issues with existing features, as needed.</li>\n<li>Stay up to date with the latest backend platform technologies and best practices, and contribute to the continuous improvement of our engineering processes and tools.</li>\n<li>Ensure features are shipped on time and to the highest quality standards.</li>\n</ul>\n<p>Requirements</p>\n<ul>\n<li>5+ years of strong experience in full-stack software engineering.</li>\n<li>Bachelor’s or Master’s degree in Computer Science or related field, or equivalent experience.</li>\n<li>Leverage AI Tools (Claude / Windsurf / Gemini) for development.</li>\n<li>Strong experience working with HTML/CSS, Vue.js, Typescript, Python, Java.</li>\n<li>Strong experience working with Cloud Technologies [Google Cloud Platform is a plus] and distributed technologies.</li>\n<li>Working knowledge of unit test and integration test frameworks.</li>\n<li>Good understanding of web technologies, RESTful APIs, and web application frameworks.</li>\n<li>Experience with performance and optimization problems and a demonstrated ability to both diagnose and prevent them.</li>\n<li>Strong debugging and troubleshooting skills.</li>\n<li>Strong communication and collaboration skills.</li>\n<li>Experience with highly agile and iterative development processes.</li>\n</ul>\n<p>Why Join Dialpad</p>\n<ul>\n<li>Work at the center of the AI transformation in business communications</li>\n<li>Build and ship agentic AI products that are redefining how companies operate</li>\n<li>Join a team where AI amplifies every employee’s impact</li>\n<li>Competitive salary, comprehensive benefits, and real opportunities for growth</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c1bcd7d3-b33","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Dialpad","sameAs":"https://dialpad.com","logo":"https://logos.yubhub.co/dialpad.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/dialpad/jobs/8407077002","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["AI Tools (Claude / Windsurf / Gemini)","HTML/CSS","Vue.js","Typescript","Python","Java","Cloud Technologies (Google Cloud Platform)","distributed technologies","unit test and integration test frameworks","web technologies","RESTful APIs","web application frameworks","performance and optimization problems","debugging and troubleshooting skills","communication and collaboration skills","agile and iterative development processes"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:56:22.634Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Buenos Aires, Argentina"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI Tools (Claude / Windsurf / Gemini), HTML/CSS, Vue.js, Typescript, Python, Java, Cloud Technologies (Google Cloud Platform), distributed technologies, unit test and integration test frameworks, web technologies, RESTful APIs, web application frameworks, performance and optimization problems, debugging and troubleshooting skills, communication and collaboration skills, agile and iterative development processes"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_fe04c8cc-782"},"title":"Forward Deployed Engineering Manager","description":"<p>Shape the Future of AI</p>\n<p>At Labelbox, we&#39;re building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we&#39;ve been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.</p>\n<p>We&#39;re the only company offering three integrated solutions for frontier AI development:</p>\n<p>Enterprise Platform &amp; Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale</p>\n<p>Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models</p>\n<p>Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling</p>\n<p>Why Join Us</p>\n<p>High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You&#39;ll take on expanded responsibilities quickly, with career growth directly tied to your contributions.</p>\n<p>Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.</p>\n<p>Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.</p>\n<p>Continuous Growth: Every role requires continuous learning and evolution. You&#39;ll be surrounded by curious minds solving complex problems at the frontier of AI.</p>\n<p>Clear Ownership: You&#39;ll know exactly what you&#39;re responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.</p>\n<p>The role</p>\n<p>We’re hiring a Forward Deployed Engineering Manager to lead the design, development, and delivery of reinforcement learning environments for agentic AI systems.</p>\n<p>You’ll manage a team responsible for building sandboxed, reproducible environments,terminal-based workflows, browser automation, and computer-use simulations,that power both model training and human-in-the-loop evaluation. This is a hands-on leadership role where you’ll set technical direction, guide execution, and stay close to architecture and critical systems.</p>\n<p>What You’ll Do</p>\n<p>Lead, hire, and develop a high-performing team of Forward Deployed Engineers, setting a high bar for ownership, velocity, and technical quality</p>\n<p>Own the RL environment roadmap, aligning team execution with customer needs and evolving model capabilities</p>\n<p>Oversee development of sandboxed environments (terminal, browser, tool-augmented workspaces) that support deterministic execution and multi-step agent interaction</p>\n<p>Ensure reliability, observability, and data integrity through strong instrumentation (logging, trajectory capture, state snapshotting)</p>\n<p>Drive infrastructure excellence across containerization, sandboxing, CI/CD, automated testing, and monitoring</p>\n<p>Partner cross-functionally with data operations, product, and leading AI labs to define task design, evaluation protocols, and environment requirements</p>\n<p>Enable rapid prototyping and iteration, helping the team move from ambiguous requirements to production-ready systems quickly</p>\n<p>Stay close to the technical details,reviewing architecture, unblocking complex issues, and guiding design decisions</p>\n<p>What We’re Looking For</p>\n<p>5+ years of software engineering experience (Python)</p>\n<p>2+ years of experience managing or leading engineers in fast-paced environments</p>\n<p>Strong experience with containerization and sandboxing (Docker, Firecracker, or similar)</p>\n<p>Solid understanding of reinforcement learning fundamentals (MDPs, reward design, episode structure, observation/action spaces)</p>\n<p>Background in infrastructure, developer tooling, or distributed systems</p>\n<p>Strong debugging skills and systems thinking across layered, containerized environments</p>\n<p>Ability to operate in ambiguity and translate loosely defined problems into clear execution plans</p>\n<p>Excellent communication and stakeholder management skills</p>\n<p>Preferred</p>\n<p>Experience building or working with RL environments (Gym, PettingZoo) or agent benchmarks (SWE-bench, WebArena, OSWorld, TerminalBench)</p>\n<p>Familiarity with cloud infrastructure (GCP or AWS)</p>\n<p>Prior experience in AI/ML platforms, data companies, or research environments</p>\n<p>Contributions to open-source projects in RL, agents, or developer tooling</p>\n<p>Why This Role Matters</p>\n<p>RL environment quality is a critical bottleneck in advancing agentic AI. Poorly designed or unreliable environments introduce noise into training loops and directly impact model performance.</p>\n<p>In this role, you’ll lead the team building the environments that define how models learn,working across a range of cutting-edge projects with leading AI labs. Alignerr offers the speed and ownership of a startup with the scale and resources of Labelbox, giving you the opportunity to have outsized impact on the future of AI.</p>\n<p>About Alignerr</p>\n<p>Alignerr is Labelbox’s human data organization, powering next-generation AI through high-quality training data, reinforcement learning environments, and evaluation systems. We partner directly with leading AI labs to build the data and infrastructure that push model capabilities forward.</p>\n<p>Life at Labelbox</p>\n<p>Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland</p>\n<p>Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility</p>\n<p>Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making</p>\n<p>Growth: Career advancement opportunities directly tied to your impact</p>\n<p>Vision: Be part of building the foundation for humanity&#39;s most transformative technology</p>\n<p>Our Vision</p>\n<p>We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs.</p>\n<p>Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs.</p>\n<p>Any emails from Labelbox team members will originate from a @labelbox.com email address. 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You&#39;ll have the chance to develop your skills and expertise in a fast-paced and dynamic environment.</p>\n<p>If you&#39;re a motivated and results-driven individual who is passionate about technology and sales, we encourage you to apply for this exciting opportunity.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_39322317-ed9","directApply":true,"hiringOrganization":{"@type":"Organization","name":"tvScientific","sameAs":"https://www.tvscientific.com/","logo":"https://logos.yubhub.co/tvscientific.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/pinterest/jobs/7782565","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$81,921-$168,660 USD","x-skills-required":["Strong understanding of the digital media and advertising landscape","Hands-on experience with tracking technologies","Strong debugging skills and comfort working with logs, network requests, and data validation tools","Strong communication and problem-solving skills","A proactive mindset with the ability to work cross-functionally and independently"],"x-skills-preferred":["Familiarity with programmatic platforms","Experience working with enterprise clients and complex technical stakeholders","Knowledge of analytics, conversion tracking, measurement, and attribution solutions","Working knowledge of privacy frameworks and regulations"],"datePosted":"2026-04-18T15:52:46.503Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, US; Remote, US"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Strong understanding of the digital media and advertising landscape, Hands-on experience with tracking technologies, Strong debugging skills and comfort working with logs, network requests, and data validation tools, Strong communication and problem-solving skills, A proactive mindset with the ability to work cross-functionally and independently, Familiarity with programmatic platforms, Experience working with enterprise clients and complex technical stakeholders, Knowledge of analytics, conversion tracking, measurement, and attribution solutions, Working knowledge of privacy frameworks and regulations","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":81921,"maxValue":168660,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c0569537-539"},"title":"Staff Backend Engineer, Gitlab Delivery: Upgrades","description":"<p>As a Staff Engineer on the GitLab Delivery - 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Upgrades team sits within GitLab Delivery and focuses on delivering GitLab to self-managed users through supported, validated deployment tooling. We own and evolve the GitLab Omnibus package, Helm charts, GitLab Operator, and the GitLab Environment Toolkit, and we work asynchronously across regions with partners in Site Reliability Engineering, Release, Security, and Development.</p>\n<p>Our work centers on enabling zero-downtime upgrades, reducing operational complexity at scale, supporting GitLab’s cloud-native transition while continuing to serve existing deployments, and improving the upgrade experience for customers running GitLab in diverse environments.</p>\n<p>For more on how we work, see [Link: Team Handbook Page].</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c0569537-539","directApply":true,"hiringOrganization":{"@type":"Organization","name":"GitLab","sameAs":"https://about.gitlab.com/","logo":"https://logos.yubhub.co/about.gitlab.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/gitlab/jobs/8463922002","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Go","Ruby on Rails","Kubernetes","Cloud-native systems","Service mesh","Observability stacks","Infrastructure as code","Automation tools","Linux systems","Production operations","Package management","Systemd","System-level debugging","Incident response","On-call participation"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:52:40.073Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote, India"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Go, Ruby on Rails, Kubernetes, Cloud-native systems, Service mesh, Observability stacks, Infrastructure as code, Automation tools, Linux systems, Production operations, Package management, Systemd, System-level debugging, Incident response, On-call participation"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b0ef8d51-d38"},"title":"Sr. Software Engineer","description":"<p>We are seeking a talented and experienced Senior Software Engineer who is passionate about building high-quality, scalable web &amp; desktop native applications using modern frontend and backend technologies.</p>\n<p>As a Senior Software Engineer, you will own significant features end-to-end, tackle technical hurdles, and enrich the team through your engineering experience, including mentorship of junior engineers.</p>\n<p>You will guide projects with multiple engineers collaborating to deliver major features. You will work jointly in a cross-functional team, including working closely with Product Managers to advocate for technical initiatives for the team.</p>\n<p>This position reports to our Engineering Manager, who is based in London, and is looking for someone to join the team in our London office.</p>\n<p>Please note, this is a hybrid position with an expectation to be in the office 2-3 times per week.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Develop and maintain Dialpad&#39;s web &amp; desktop applications using modern technologies.</li>\n</ul>\n<ul>\n<li>Write clear and complete architectural design documents that other team members can easily understand.</li>\n</ul>\n<ul>\n<li>Provide estimates on technical resources and requirements necessary to plan and begin projects.</li>\n</ul>\n<ul>\n<li>Develop and maintain the WFM web application and services using modern technologies.</li>\n</ul>\n<ul>\n<li>Write clean, modular, and maintainable code using best practices along with unit tests.</li>\n</ul>\n<ul>\n<li>Participate in code reviews to ensure code quality, maintainability, and scalability.</li>\n</ul>\n<ul>\n<li>Ensure that features are shipped on time and with the highest quality.</li>\n</ul>\n<ul>\n<li>Take on-call activities to support and resolve issues arising from QA and customers.</li>\n</ul>\n<ul>\n<li>Be responsible for deploying new releases on a weekly release cadence.</li>\n</ul>\n<ul>\n<li>Collaborate with cross-functional teams to build and use standard components and practices across Dialpad products.</li>\n</ul>\n<ul>\n<li>Mentor junior engineers and help them grow their skills and expertise.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>8+ years of experience in software engineering.</li>\n</ul>\n<ul>\n<li>Strong experience with Python/TypeScript or other languages, Vue/React, Node.js, HTML, CSS, JavaScript, GraphQL, and cloud infrastructures [Google Cloud Platform is a plus].</li>\n</ul>\n<ul>\n<li>Experience with performance and optimization problems and a demonstrated ability to both diagnose and prevent them.</li>\n</ul>\n<ul>\n<li>Experience with databases, SQL/NoSQL.</li>\n</ul>\n<ul>\n<li>Experience with building reusable and modular components, both frontend and backend.</li>\n</ul>\n<ul>\n<li>Experience with mentoring junior engineers and helping them grow their skills.</li>\n</ul>\n<ul>\n<li>Experience with highly agile and iterative development processes.</li>\n</ul>\n<ul>\n<li>Strong debugging and troubleshooting skills.</li>\n</ul>\n<ul>\n<li>Strong communication and collaboration skills.</li>\n</ul>\n<p>Why Join Dialpad:</p>\n<ul>\n<li>Work at the center of the AI transformation in business communications.</li>\n</ul>\n<ul>\n<li>Build and ship agentic AI products that are redefining how companies operate.</li>\n</ul>\n<ul>\n<li>Join a team where AI amplifies every employee’s impact.</li>\n</ul>\n<ul>\n<li>Competitive salary, comprehensive benefits, and real opportunities for growth.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_b0ef8d51-d38","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Dialpad","sameAs":"https://dialpad.com","logo":"https://logos.yubhub.co/dialpad.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/dialpad/jobs/8397034002","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","TypeScript","Vue","React","Node.js","HTML","CSS","JavaScript","GraphQL","cloud infrastructures","performance and optimization","databases","SQL/NoSQL","modular components","agile and iterative development processes","debugging and troubleshooting","communication and collaboration"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:52:12.007Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, TypeScript, Vue, React, Node.js, HTML, CSS, JavaScript, GraphQL, cloud infrastructures, performance and optimization, databases, SQL/NoSQL, modular components, agile and iterative development processes, debugging and troubleshooting, communication and collaboration"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_27168e63-72b"},"title":"Systems Engineer, SSL/TLS Team","description":"<p>About Us</p>\n<p>At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world&#39;s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.</p>\n<p>We protect and accelerate any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.</p>\n<p>Cloudflare was named to Entrepreneur Magazine&#39;s Top Company Cultures list and ranked among the World&#39;s Most Innovative Companies by Fast Company.</p>\n<p>Available Locations: Austin</p>\n<p>Role Summary</p>\n<p>Back in 2014, Cloudflare launched Universal SSL to provide all of our customers with the security of encrypted traffic between visitors and Cloudflare&#39;s network. On the day we flipped the switch, we doubled the amount of sites using SSL/TLS on the internet. Since then, we&#39;ve been working on providing even more ways to encrypt traffic easier and more effectively.</p>\n<p>To better serve our customers, we&#39;re constantly improving our systems for issuing, managing, and deploying TLS certificates. By joining Cloudflare&#39;s SSL/TLS Team, you can help ensure that every site owner has the ability to provide their users with a secure connection. Your code will help ensure millions of websites have access to encryption. As such, the results of your code will be felt by millions of site owners and billions of visitors every day.</p>\n<p>We&#39;re continuously providing technology to site owners that was previously only available to the largest organizations. Your contributions will help make the web a faster, safer, better, and more heavily encrypted place.</p>\n<p>Cloudflare is looking for a Systems Engineer to help us build services with RESTful APIs and their own datastores using Go and other languages. You will also write and maintain functional specifications for your service, so others know how it works. In this role you will integrate multiple services via message queue systems and evaluate 3rd party and open source tools. You will design and implement alerts, write procedures for ops to handle such alerts, or serve as an escalation point for unresolved operational issues. You will also need to read and understand code from a legacy codebase to migrate logic to a modern services architecture and review the code of fellow engineers via pull requests.</p>\n<p>We strive to build reliable, fault-tolerant systems that can operate at Cloudflare&#39;s scale.</p>\n<p>Role Requirements (Must-Have Skills)</p>\n<ul>\n<li>3+ years of professional experience building backend systems at a technology company</li>\n</ul>\n<ul>\n<li>Experience writing production-quality code in Go (or other languages with a willingness to learn Go)</li>\n</ul>\n<ul>\n<li>Proven experience building and operating distributed systems</li>\n</ul>\n<ul>\n<li>Proficiency with modern Unix/Linux development and runtime environments</li>\n</ul>\n<ul>\n<li>Strong debugging and troubleshooting skills with attention to detail</li>\n</ul>\n<ul>\n<li>Track record of delivering well-tested, reliable code for production environments</li>\n</ul>\n<p>Desirable Skills, Knowledge, and Experience</p>\n<ul>\n<li>Experience designing and building RESTful APIs and full-stack applications</li>\n</ul>\n<ul>\n<li>Familiarity with PKI/TLS concepts and certificate management</li>\n</ul>\n<ul>\n<li>Experience writing technical documentation and specifications</li>\n</ul>\n<ul>\n<li>Working knowledge of SQL and relational databases such as PostgreSQL</li>\n</ul>\n<ul>\n<li>Understanding of distributed systems constraints: performance, caching, data storage/retrieval</li>\n</ul>\n<ul>\n<li>Experience with message queues (Kafka, RabbitMQ, etc)</li>\n</ul>\n<p>Benefits</p>\n<p>Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!</p>\n<p>The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.</p>\n<p>Health &amp; Welfare Benefits</p>\n<ul>\n<li>Medical/Rx Insurance</li>\n</ul>\n<ul>\n<li>Dental Insurance</li>\n</ul>\n<ul>\n<li>Vision Insurance</li>\n</ul>\n<ul>\n<li>Flexible Spending Accounts</li>\n</ul>\n<ul>\n<li>Commuter Spending Accounts</li>\n</ul>\n<ul>\n<li>Fertility &amp; Family Forming Benefits</li>\n</ul>\n<ul>\n<li>On-demand mental health support and Employee Assistance Program</li>\n</ul>\n<ul>\n<li>Global Travel Medical Insurance</li>\n</ul>\n<p>Financial Benefits</p>\n<ul>\n<li>Short and Long Term Disability Insurance</li>\n</ul>\n<ul>\n<li>Life &amp; Accident Insurance</li>\n</ul>\n<ul>\n<li>401(k) Retirement Savings Plan</li>\n</ul>\n<ul>\n<li>Employee Stock Participation Plan</li>\n</ul>\n<p>Time Off</p>\n<ul>\n<li>Flexible paid time off covering vacation and sick leave</li>\n</ul>\n<ul>\n<li>Leave programs, including parental, pregnancy health, medical, and bereavement leave</li>\n</ul>\n<p>What Makes Cloudflare Special?</p>\n<p>We&#39;re not just a highly ambitious, large-scale technology company. We&#39;re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.</p>\n<p>Project Galileo: Since 2014, we&#39;ve equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare&#39;s enterprise customers--at no cost.</p>\n<p>Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we&#39;ve provided services to more than 425 local government election websites in 33 states.</p>\n<p>1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.</p>\n<p>Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.</p>\n<p>Sound like something you’d like to be a part of? We’d love to hear from you!</p>\n<p>This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.</p>\n<p>Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person&#39;s, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_27168e63-72b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Cloudflare","sameAs":"https://www.cloudflare.com/","logo":"https://logos.yubhub.co/cloudflare.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/cloudflare/jobs/7542754","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Go","Unix/Linux development and runtime environments","Distributed systems","Debugging and troubleshooting","SQL and relational databases"],"x-skills-preferred":["RESTful APIs","PKI/TLS concepts and certificate management","Message queues","Technical documentation and specifications"],"datePosted":"2026-04-18T15:51:38.124Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hybrid"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Go, Unix/Linux development and runtime environments, Distributed systems, Debugging and troubleshooting, SQL and relational databases, RESTful APIs, PKI/TLS concepts and certificate management, Message queues, Technical documentation and specifications"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_09c520cf-f62"},"title":"Systems Engineer, Kernel","description":"<p>CoreWeave is seeking a highly skilled and motivated Systems Kernel Engineer to join our HAVOCK Team, reporting into the Manager of Systems Engineering. In this role, you will be a key contributor to the stability, performance, and evolution of CoreWeave&#39;s Linux-based infrastructure.</p>\n<p>As a kernel generalist, you will be responsible for debugging kernel-level issues, analysing and fixing crashes, panics, dumps, and upstreaming fixes and features that improve the performance and reliability of our stack.</p>\n<p>This position is ideal for someone who thrives in low-level systems engineering, and understands how modern workloads stress kernels, and is excited to work across a diverse hardware/software ecosystem including CPUs, GPUs, DPUs, networking, and storage.</p>\n<p>Kernel Hardware - Acceleration - Virtualization - Operating Systems - Containerization - Kubelet</p>\n<p>Our Team&#39;s Stack:</p>\n<ul>\n<li>Python, Go, bash/sh, C</li>\n</ul>\n<ul>\n<li>Prometheus, Victoria Metrics, Grafana</li>\n</ul>\n<ul>\n<li>Linux Kernel (custom build), Ubuntu</li>\n</ul>\n<ul>\n<li>Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs</li>\n</ul>\n<ul>\n<li>Docker, kubernetes (k8s), KubeVirt, containerd, kubelet</li>\n</ul>\n<p>Focus Areas:</p>\n<ul>\n<li>Kernel Debugging – Analyse kernel crashes, oopses, panics, and dumps to identify root causes and propose fixes.</li>\n</ul>\n<ul>\n<li>Upstream Contributions – Develop patches for the Linux kernel and upstream them where applicable (networking, storage, virtualization, GPU/DPU enablement).</li>\n</ul>\n<ul>\n<li>Stack-Wide Support – Ensure kernel support and stability across:</li>\n</ul>\n<ul>\n<li>Virtualization (KubeVirt, QEMU, vFIO)</li>\n</ul>\n<ul>\n<li>Container runtimes (containerd, nydus, kubelet)</li>\n</ul>\n<ul>\n<li>HPC/AI workloads (CUDA, GPUDirect, RoCE/InfiniBand)</li>\n</ul>\n<ul>\n<li>Kernel-Hardware Enablement – Support new hardware bring-up across Intel, AMD, ARM CPUs, NVIDIA GPUs, DPUs, and NICs.</li>\n</ul>\n<ul>\n<li>Performance &amp; Stability – Tune kernel subsystems for latency, throughput, and scalability in distributed HPC/AI clusters.</li>\n</ul>\n<p>About the role:</p>\n<ul>\n<li>Triage and fix kernel crashes and performance regressions.</li>\n</ul>\n<ul>\n<li>Develop, test, and upstream kernel patches relevant to CoreWeave’s hardware/software environment.</li>\n</ul>\n<ul>\n<li>Collaborate with hardware vendors and the Linux community on feature enablement.</li>\n</ul>\n<ul>\n<li>Implement diagnostics and tooling for kernel-level observability.</li>\n</ul>\n<ul>\n<li>Work closely with HPC and Fleet teams to ensure kernel readiness for production workloads.</li>\n</ul>\n<ul>\n<li>Provide kernel-level expertise during incident response and root-cause investigations.</li>\n</ul>\n<p>Who You Are:</p>\n<ul>\n<li>5+ years of professional experience in Linux kernel engineering or systems-level development.</li>\n</ul>\n<ul>\n<li>Deep understanding of kernel internals (memory management, scheduling, networking, storage, drivers).</li>\n</ul>\n<ul>\n<li>Experience debugging kernel crashes, dumps, and panics using tools like crash, gdb, kdump.</li>\n</ul>\n<ul>\n<li>Strong C programming skills with the ability to write maintainable and upstream-quality code.</li>\n</ul>\n<ul>\n<li>Experience working with kernel modules, drivers, and subsystems.</li>\n</ul>\n<ul>\n<li>Strong problem-solving abilities with a “full-stack” systems perspective.</li>\n</ul>\n<p>Preferred:</p>\n<ul>\n<li>Contributions to the Linux kernel or related open-source projects.</li>\n</ul>\n<ul>\n<li>Familiarity with virtualization (KVM, QEMU, VFIO) and container runtimes.</li>\n</ul>\n<ul>\n<li>Networking stack expertise (InfiniBand, RoCE, TCP/IP performance tuning).</li>\n</ul>\n<ul>\n<li>GPU/DPU bring-up and driver experience.</li>\n</ul>\n<ul>\n<li>Experience in HPC or large-scale distributed systems.</li>\n</ul>\n<ul>\n<li>Familiarity with QA/QE best practices</li>\n</ul>\n<ul>\n<li>Experience working in Cloud environments</li>\n</ul>\n<ul>\n<li>Experience as a software engineer writing large-scale applications</li>\n</ul>\n<ul>\n<li>Experience with machine learning is a huge bonus</li>\n</ul>\n<p>The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).</p>\n<p>What We Offer</p>\n<p>The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.</p>\n<p>In addition to a competitive salary, we offer a variety of benefits to support your needs, including:</p>\n<ul>\n<li>Medical, dental, and vision insurance - 100% paid for by CoreWeave</li>\n</ul>\n<ul>\n<li>Company-paid Life Insurance</li>\n</ul>\n<ul>\n<li>Voluntary supplemental life insurance</li>\n</ul>\n<ul>\n<li>Short and long-term disability insurance</li>\n</ul>\n<ul>\n<li>Flexible Spending Account</li>\n</ul>\n<ul>\n<li>Health Savings Account</li>\n</ul>\n<ul>\n<li>Tuition Reimbursement</li>\n</ul>\n<ul>\n<li>Ability to Participate in Employee Stock Purchase Program (ESPP)</li>\n</ul>\n<ul>\n<li>Mental Wellness Benefits through Spring Health</li>\n</ul>\n<ul>\n<li>Family-Forming support provided by Carrot</li>\n</ul>\n<ul>\n<li>Paid Parental Leave</li>\n</ul>\n<ul>\n<li>Flexible, full-service childcare support with Kinside</li>\n</ul>\n<ul>\n<li>401(k) with a generous employer match</li>\n</ul>\n<ul>\n<li>Flexible PTO</li>\n</ul>\n<ul>\n<li>Catered lunch each day in our office and data center locations</li>\n</ul>\n<ul>\n<li>A casual work environment</li>\n</ul>\n<ul>\n<li>A work culture focused on innovative disruption</li>\n</ul>\n<p>Our Workplace</p>\n<p>While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.</p>\n<p>California Consumer Privacy Act - California applicants only</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_09c520cf-f62","directApply":true,"hiringOrganization":{"@type":"Organization","name":"CoreWeave","sameAs":"https://www.coreweave.com","logo":"https://logos.yubhub.co/coreweave.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/coreweave/jobs/4599319006","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$165,000 to $242,000","x-skills-required":["Linux kernel engineering","Systems-level development","C programming","Kernel modules","Drivers","Subsystems","Kernel debugging","Upstream contributions","Stack-wide support","Virtualization","Container runtimes","HPC/AI workloads","Kernel-hardware enablement","Performance & stability"],"x-skills-preferred":["Contributions to the Linux kernel","Networking stack expertise","GPU/DPU bring-up and driver experience","Experience in HPC or large-scale distributed systems","QA/QE best practices","Cloud environments","Software engineer writing large-scale applications","Machine learning"],"datePosted":"2026-04-18T15:51:21.252Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Linux kernel engineering, Systems-level development, C programming, Kernel modules, Drivers, Subsystems, Kernel debugging, Upstream contributions, Stack-wide support, Virtualization, Container runtimes, HPC/AI workloads, Kernel-hardware enablement, Performance & stability, Contributions to the Linux kernel, Networking stack expertise, GPU/DPU bring-up and driver experience, Experience in HPC or large-scale distributed systems, QA/QE best practices, Cloud environments, Software engineer writing large-scale applications, Machine learning","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":165000,"maxValue":242000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_fb9b187c-e32"},"title":"HPC Engineer","description":"<p>We are seeking a skilled and driven NVLink Engineer to support large-scale data center deployments. In this role, you&#39;ll be at the forefront of cutting-edge infrastructure technologies, ensuring the optimal performance and stability of NVLink systems.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Support the deployment of NVLink systems across large data center environments.</li>\n<li>Support the full lifecycle management of NVLink hardware and software components.</li>\n<li>Build and maintain tooling to automate and streamline the deployment, monitoring and troubleshooting workflows.</li>\n<li>Diagnose and resolve performance, connectivity and stability issues in complex environments.</li>\n<li>Collaborate with internal teams and external customers worldwide.</li>\n<li>Participate in a rotating on-call schedule to ensure 24/7 support coverage.</li>\n</ul>\n<p>Required Qualifications:</p>\n<ul>\n<li>Solid understanding of networking fundamentals</li>\n<li>Proven background in troubleshooting network and server hardware at the component level.</li>\n<li>Strong Linux system administration skills.</li>\n<li>Proficiency in at least one language (e.g., Python, Go).</li>\n<li>Proven ability to troubleshoot and debug complex application issues.</li>\n<li>Excellent communication and collaboration skills.</li>\n<li>Experience with Ansible.</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Experience with InfiniBand networking.</li>\n<li>Experience managing large-scale environments (1,000+ switches or nodes).</li>\n<li>Prior experience with NVLink technologies.</li>\n<li>Knowledge of Redfish API for system management.</li>\n<li>Experience with NVUE (NVIDIA User Experience).</li>\n<li>Background with SONiC.</li>\n<li>Experience with Grafana/PromQL</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_fb9b187c-e32","directApply":true,"hiringOrganization":{"@type":"Organization","name":"CoreWeave","sameAs":"https://www.coreweave.com","logo":"https://logos.yubhub.co/coreweave.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/coreweave/jobs/4645664006","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$109,000 to $204,000","x-skills-required":["Networking fundamentals","Linux system administration","Python","Go","Troubleshooting and debugging"],"x-skills-preferred":["InfiniBand networking","Ansible","Redfish API","NVUE","SONiC","Grafana/PromQL"],"datePosted":"2026-04-18T15:50:52.753Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY/ Bellevue, WA/ Sunnyvale, CA / Livingston, NJ"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Networking fundamentals, Linux system administration, Python, Go, Troubleshooting and debugging, InfiniBand networking, Ansible, Redfish API, NVUE, SONiC, Grafana/PromQL","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":109000,"maxValue":204000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7d9bfb5a-511"},"title":"Senior Firmware Engineer, OpenBMC","description":"<p>To accelerate datacenter deployment and management, CoreWeave is expanding its firmware engineering team to focus on developing and maintaining OpenBMC-based firmware for our next-generation Baseboard Management Controllers (BMCs).</p>\n<p>As a Senior Firmware Engineer, you will design, implement, and maintain embedded firmware features that enable secure, scalable, and reliable control across CoreWeave&#39;s high-performance compute infrastructure. You will work independently on complex components, collaborate closely with cross-functional teams, and help set best practices for firmware quality and performance.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Design &amp; Implement: Develop and enhance OpenBMC firmware in C++ for CoreWeave&#39;s custom server platforms, contributing to key subsystems such as sensor management, power and thermal control, networking, and system monitoring.</li>\n</ul>\n<ul>\n<li>Integrate &amp; Debug: Collaborate with hardware design, platform software, and reliability teams to integrate firmware with new hardware and validate performance across diverse environments.</li>\n</ul>\n<ul>\n<li>Optimize: BMC Performance and Harden Security</li>\n</ul>\n<ul>\n<li>Root Cause Analysis: Perform deep system-level debugging using tools such as GDB, JTAG, or logic analyzers to resolve cross-layer issues between hardware, firmware, and OS.</li>\n</ul>\n<ul>\n<li>Automate &amp; Validate: Contribute to continuous integration and automated testing frameworks for OpenBMC build and validation.</li>\n</ul>\n<ul>\n<li>Document &amp; Share: Maintain clear technical documentation and participate in design reviews to ensure consistency and maintainability across the firmware codebase.</li>\n</ul>\n<ul>\n<li>Collaborate Broadly: Partner with other ICs and technical leads across CoreWeave&#39;s infrastructure engineering, hardware design, and operations teams to align firmware capabilities with platform and datacenter goals.</li>\n</ul>\n<p>Minimum Qualifications:</p>\n<ul>\n<li>Experience: 4+ of professional experience in firmware or embedded systems development, including direct work with Linux-based OpenBMC firmware.</li>\n</ul>\n<ul>\n<li>Education: Bachelor&#39;s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field.</li>\n</ul>\n<p>Technical Skills:</p>\n<ul>\n<li>Proficiency in C/C++ for embedded systems.</li>\n</ul>\n<ul>\n<li>Hands-on experience with OpenBMC, Yocto Project, and embedded Linux environments.</li>\n</ul>\n<ul>\n<li>Familiarity with hardware interfaces and protocols (I2C, SPI, UART, GPIO, IPMI, DMTF Redfish)</li>\n</ul>\n<ul>\n<li>Experience with hardware bring-up, board-level debugging, and sensor integration.</li>\n</ul>\n<ul>\n<li>Comfort with Linux kernel configuration, device trees, and BSP-level integration.</li>\n</ul>\n<ul>\n<li>Working knowledge of source code control system such as Git</li>\n</ul>\n<ul>\n<li>Comfort with debugging tools such as GDB JTAG and debugging over serial or remote consoles.</li>\n</ul>\n<ul>\n<li>Basic scripting skills in Python or Bash for build automation and validation.</li>\n</ul>\n<ul>\n<li>Strong problem-solving and analytical thinking; able to break down complex system-level issues.</li>\n</ul>\n<ul>\n<li>Communicates effectively with peers across hardware, firmware, and operations teams.</li>\n</ul>\n<ul>\n<li>Self-driven with a focus on delivering high-quality, maintainable code.</li>\n</ul>\n<ul>\n<li>Thrives in a fast-paced environment and balances multiple priorities effectively.</li>\n</ul>\n<p>Preferred Qualification:</p>\n<ul>\n<li>Experience developing CI/CD pipeline for firmware builds and regression testing</li>\n</ul>\n<ul>\n<li>Exposure to large-scale datacenter or HPC environments</li>\n</ul>\n<ul>\n<li>Contributions to open-source firmware projects or upstream Linux development</li>\n</ul>\n<p>The base salary range for this role is $153,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).</p>\n<p>What We Offer</p>\n<p>The range we&#39;ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.</p>\n<p>In addition to a competitive salary, we offer a variety of benefits to support your needs, including:</p>\n<ul>\n<li>Medical, dental, and vision insurance - 100% paid for by CoreWeave</li>\n</ul>\n<ul>\n<li>Company-paid Life Insurance</li>\n</ul>\n<ul>\n<li>Voluntary supplemental life insurance</li>\n</ul>\n<ul>\n<li>Short and long-term disability insurance</li>\n</ul>\n<ul>\n<li>Flexible Spending Account</li>\n</ul>\n<ul>\n<li>Health Savings Account</li>\n</ul>\n<ul>\n<li>Tuition Reimbursement</li>\n</ul>\n<ul>\n<li>Ability to Participate in Employee Stock Purchase Program (ESPP)</li>\n</ul>\n<ul>\n<li>Mental Wellness Benefits through Spring Health</li>\n</ul>\n<ul>\n<li>Family-Forming support provided by Carrot</li>\n</ul>\n<ul>\n<li>Paid Parental Leave</li>\n</ul>\n<ul>\n<li>Flexible, full-service childcare support with Kinside</li>\n</ul>\n<ul>\n<li>401(k) with a generous employer match</li>\n</ul>\n<ul>\n<li>Flexible PTO</li>\n</ul>\n<ul>\n<li>Catered lunch each day in our office and data center locations</li>\n</ul>\n<ul>\n<li>A casual work environment</li>\n</ul>\n<ul>\n<li>A work culture focused on innovative disruption</li>\n</ul>\n<p>Our Workplace</p>\n<p>While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. 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Today the company runs one of the world&#39;s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.</p>\n<p>We protect and accelerate any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.</p>\n<p>Cloudflare was named to Entrepreneur Magazine&#39;s Top Company Cultures list and ranked among the World&#39;s Most Innovative Companies by Fast Company.</p>\n<p>About the Department</p>\n<p>At Cloudflare, we have our eyes set on an ambitious goal: to help build a better Internet. Today the company runs one of the world&#39;s largest networks that powers approximately 25 million Internet properties, for customers ranging from individual bloggers to SMBs to Fortune 500 companies.</p>\n<p>Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.</p>\n<p>Cloudflare was named to Entrepreneur Magazine&#39;s Top Company Cultures list and ranked among the World&#39;s Most Innovative Companies by Fast Company.</p>\n<p>About the Team</p>\n<p>Domain management is the foundation for any online presence and Cloudflare Registrar is our answer to a simple and straightforward experience. The Registrar product manages the full lifecycle of the domains, including searching/registering for new domains and transferring/renewing existing ones. Onboarding domains on Cloudflare is the gateway to the vast array of Cloudflare services.</p>\n<p>What You&#39;ll Do</p>\n<p>We are looking for a talented systems engineer to be part of our engineering team. Come be part of the team and work with a group of passionate, talented engineers that will be creating innovative products. The amount of requests being processed is massive and we utilize all the latest technology to ensure its scalability and availability.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Designing, building, running and scaling tools and services that support the full spectrum of domain management.</li>\n<li>Analyzing and communicating complex technical requirements and concepts, identifying the highest priority areas, and carving a path to delivery.</li>\n<li>Improving system design and architecture to ensure stability and performance of the internal and customer-facing compliance concerns.</li>\n<li>Working closely with Cloudflare&#39;s Trust and Safety team to help make the internet a better place.</li>\n<li>Ongoing monitoring and maintenance of production services, including participation in on-call rotations.</li>\n</ul>\n<p>Requirements</p>\n<ul>\n<li>5+ years of experience as a software engineer with a focus on designing, building and scaling data infrastructure.</li>\n<li>Experience with product teams to understand goals and develop robust and scalable solutions that align with the customer need.</li>\n<li>Strong communication skills, especially around articulating technical concepts for technical and non-technical audiences.</li>\n<li>Experience working on, and deploying, large scale systems in Typescript, Go, Ruby/Rails, Java, or other high performance languages.</li>\n<li>Experience (and love) for debugging to ensure the system works in all cases.</li>\n<li>Strong systems level programming skills.</li>\n<li>Excited by the idea of optimizing complex solutions to general problems that all websites face.</li>\n<li>Experience with a continuous integration workflow and using source control (we use git).</li>\n</ul>\n<p>Bonus Points</p>\n<ul>\n<li>Experience with Cloudflare Developer Platform.</li>\n<li>Experience with Ruby or Go (or a strong desire to learn).</li>\n<li>Experience working with OpenAPI.</li>\n<li>Experience with AI coding tools.</li>\n<li>Experience with Kubernetes.</li>\n<li>Experience with Kibana, Grafana, and/or Prometheus.</li>\n<li>Experience with relational databases (e.g. Postgres).</li>\n<li>Experience with Gitlab and Gitlab CI.</li>\n<li>Experience with DNS (and DNSSEC).</li>\n<li>Experience in the registry/registrar industry.</li>\n</ul>\n<p>Equity</p>\n<p>This role is eligible to participate in Cloudflare&#39;s equity plan.</p>\n<p>Benefits</p>\n<p>Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!</p>\n<p>The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.</p>\n<p>Health &amp; Welfare Benefits</p>\n<ul>\n<li>Medical/Rx Insurance</li>\n<li>Dental Insurance</li>\n<li>Vision Insurance</li>\n<li>Flexible Spending Accounts</li>\n<li>Commuter Spending Accounts</li>\n<li>Fertility &amp; Family Forming Benefits</li>\n<li>On-demand mental health support and Employee Assistance Program</li>\n<li>Global Travel Medical Insurance</li>\n</ul>\n<p>Financial Benefits</p>\n<ul>\n<li>Short and Long Term Disability Insurance</li>\n<li>Life &amp; Accident Insurance</li>\n<li>401(k) Retirement Savings Plan</li>\n<li>Employee Stock Participation Plan</li>\n</ul>\n<p>Time Off</p>\n<ul>\n<li>Flexible paid time off covering vacation and sick leave</li>\n<li>Leave programs, including parental, pregnancy health, medical, and bereavement leave</li>\n</ul>\n<p>What Makes Cloudflare Special?</p>\n<p>We&#39;re not just a highly ambitious, large-scale technology company. We&#39;re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.</p>\n<p>Project Galileo: Since 2014, we&#39;ve equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare&#39;s enterprise customers--at no cost.</p>\n<p>Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. 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You will collaborate with cross-functional teams to develop, enhance, and optimize embedded firmware modules that power CoreWeave&#39;s large-scale data center deployments.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Develop &amp; Maintain: Contribute to the design, implementation, and testing of BMC firmware in AMI SPX environments using C.</li>\n<li>Integrate: Work cross-functionally with hardware, software, and QA teams to ensure seamless firmware-hardware integration.</li>\n<li>Debug &amp; Optimize: Perform issue triage, root-cause analysis, and implement bug fixes and performance improvements.</li>\n<li>Testing &amp; Validation: Conduct firmware validation across multiple hardware revisions and test environments.</li>\n<li>Document: Produce clear and maintainable documentation for code, configurations, and testing procedures.</li>\n<li>Collaborate &amp; Learn: Work alongside senior engineers to expand your expertise in firmware stack design, Redfish, and system-level architecture.</li>\n</ul>\n<p>The base salary range for this role is $109,000 to $160,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).</p>\n<p>What We Offer: The range we&#39;ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.</p>\n<p>In addition to a competitive salary, we offer a variety of benefits to support your needs, including:</p>\n<ul>\n<li>Medical, dental, and vision insurance - 100% paid for by CoreWeave</li>\n<li>Company-paid Life Insurance</li>\n<li>Voluntary supplemental life insurance</li>\n<li>Short and long-term disability insurance</li>\n<li>Flexible Spending Account</li>\n<li>Health Savings Account</li>\n<li>Tuition Reimbursement</li>\n<li>Ability to Participate in Employee Stock Purchase Program (ESPP)</li>\n<li>Mental Wellness Benefits through Spring Health</li>\n<li>Family-Forming support provided by Carrot</li>\n<li>Paid Parental Leave</li>\n<li>Flexible, full-service childcare support with Kinside</li>\n<li>401(k) with a generous employer match</li>\n<li>Flexible PTO</li>\n<li>Catered lunch each day in our office and data center locations</li>\n<li>A casual work environment</li>\n<li>A work culture focused on innovative disruption</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_57af9e4c-fa7","directApply":true,"hiringOrganization":{"@type":"Organization","name":"CoreWeave","sameAs":"https://www.coreweave.com","logo":"https://logos.yubhub.co/coreweave.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/coreweave/jobs/4615564006","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$109,000 to $160,000","x-skills-required":["AMI MegaRAC/SPX firmware","C","embedded development workflows","Linux","Git","debugging tools (GDB, JTAG, or equivalent)","hardware interfaces (I2C, SPI, UART)","firmware build systems","BMC architectures","DMTF Redfish","IPMI standards"],"x-skills-preferred":["GB200 or other NVIDIA Grace Hopper server platforms","Python or Bash for testing or automation","Jenkins or similar CI/CD environments","open-source firmware or embedded projects"],"datePosted":"2026-04-18T15:49:12.401Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AMI MegaRAC/SPX firmware, C, embedded development workflows, Linux, Git, debugging tools (GDB, JTAG, or equivalent), hardware interfaces (I2C, SPI, UART), firmware build systems, BMC architectures, DMTF Redfish, IPMI standards, GB200 or other NVIDIA Grace Hopper server platforms, Python or Bash for testing or automation, Jenkins or similar CI/CD environments, open-source firmware or embedded projects","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":109000,"maxValue":160000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a14533c3-732"},"title":"Senior Engineer, Cilium CNI & Cloud Networking","description":"<p>Network Services Team</p>\n<p>The Network Services team builds and operates the foundational networking that powers CoreWeave&#39;s Kubernetes platforms at cloud scale. The team is responsible for container networking, connectivity, and network services that support large-scale, GPU-driven workloads across regions and environments. They focus on scalability, reliability, security, and performance while delivering intuitive platforms for internal teams and customers.</p>\n<p>About the Role</p>\n<p>As a Senior Engineer focused on our Cilium-based CNI, you will design, build, and operate the container networking layer that underpins CoreWeave&#39;s Kubernetes platforms. Day to day, you will work on evolving our CNI stack to support large, high-density GPU clusters with demanding throughput and latency requirements. You will partner closely with Kubernetes, Infrastructure, and Network Services engineers to ensure the platform is highly available, observable, and secure. This role spans architecture, implementation, and operations, with ownership from prototype through production. You will also help shape how our networking platform scales for future growth.</p>\n<p>Who You Are</p>\n<ul>\n<li>5+ years of experience as a Software Engineer or Systems Engineer working on cloud infrastructure or large-scale distributed systems.</li>\n<li>Hands-on production experience with Cilium CNI (or equivalent advanced CNIs), including cluster configuration and lifecycle management.</li>\n<li>Strong understanding of Cilium&#39;s eBPF datapath, policy model, and load-balancing mechanisms.</li>\n<li>Deep knowledge of cloud networking concepts, including VPCs, subnets, routing, security groups/ACLs, NAT, and ingress/egress architectures.</li>\n<li>Experience designing multi-tenant network architectures with strong isolation and security.</li>\n<li>Solid grounding in TCP/IP, dynamic routing (e.g., BGP), ECMP, MTU/fragmentation, and overlay/underlay networking (VXLAN, Geneve, encapsulation).</li>\n<li>Experience with network observability and troubleshooting across L3–L7.</li>\n<li>Proficiency in at least one systems language such as Golang or C/C++.</li>\n<li>Experience working in modern CI/CD environments.</li>\n<li>Experience operating Kubernetes at scale, including cluster lifecycle management and debugging networking issues across pods, nodes, and external services.</li>\n<li>Demonstrated ownership of complex systems end-to-end.</li>\n</ul>\n<p>Preferred</p>\n<ul>\n<li>Experience operating cloud-scale network services across tens of thousands of nodes and multiple regions.</li>\n<li>Contributions to Cilium, Kubernetes, or related open-source networking projects.</li>\n<li>Experience with eBPF development and performance tuning.</li>\n<li>Experience building Kubernetes operators or controllers.</li>\n<li>Familiarity with service meshes, multi-cluster networking, or cluster mesh solutions.</li>\n<li>Experience in GPU-heavy, HPC, or other performance-sensitive environments.</li>\n</ul>\n<p>Wondering if you’re a good fit?</p>\n<p>We believe in investing in our people and value candidates who bring diverse experiences , even if you’re not a 100% match on paper. If some of this sounds like you, we’d love to talk.</p>\n<ul>\n<li>You love solving complex distributed systems and networking challenges at scale.</li>\n<li>You’re curious about cloud-native networking, eBPF, and Kubernetes internals.</li>\n<li>You’re an expert in building reliable, scalable infrastructure that runs in production.</li>\n</ul>\n<p>Why CoreWeave?</p>\n<p>At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:</p>\n<ul>\n<li>Be Curious at Your Core</li>\n<li>Act Like an Owner</li>\n<li>Empower Employees</li>\n<li>Deliver Best-in-Class Client Experiences</li>\n<li>Achieve More Together</li>\n</ul>\n<p>The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).</p>\n<p>What We Offer</p>\n<p>The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including:</p>\n<ul>\n<li>Medical, dental, and vision insurance</li>\n<li>100% paid for by CoreWeave</li>\n<li>Company-paid Life Insurance</li>\n<li>Voluntary supplemental life insurance</li>\n<li>Short and long-term disability insurance</li>\n<li>Flexible Spending Account</li>\n<li>Health Savings Account</li>\n<li>Tuition Reimbursement</li>\n<li>Ability to Participate in Employee Stock Purchase Program (ESPP)</li>\n<li>Mental Wellness Benefits through Spring Health</li>\n<li>Family-Forming support provided by Carrot</li>\n<li>Paid Parental Leave</li>\n<li>Flexible, full-service childcare support with Kinside</li>\n<li>401(k) with a generous employer match</li>\n<li>Flexible PTO</li>\n<li>Catered lunch each day in our office and data center locations</li>\n<li>A casual work environment</li>\n<li>A work culture focused on innovative disruption</li>\n</ul>\n<p>Our Workplace</p>\n<p>While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.</p>\n<p>California Consumer Privacy Act - California applicants only</p>\n<p>CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com.</p>\n<p>Export Control Compliance</p>\n<p>This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_a14533c3-732","directApply":true,"hiringOrganization":{"@type":"Organization","name":"CoreWeave","sameAs":"https://www.coreweave.com","logo":"https://logos.yubhub.co/coreweave.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/coreweave/jobs/4653971006","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$165,000 to $242,000","x-skills-required":["Cilium CNI","cloud infrastructure","large-scale distributed systems","container networking","connectivity","network services","Kubernetes","eBPF datapath","policy model","load-balancing mechanisms","cloud networking concepts","VPCs","subnets","routing","security groups/ACLs","NAT","ingress/egress architectures","TCP/IP","dynamic routing","ECMP","MTU/fragmentation","overlay/underlay networking","Golang","C/C++","CI/CD environments","Kubernetes at scale","cluster lifecycle management","debugging networking issues"],"x-skills-preferred":["cloud-scale network services","Cilium","eBPF development","performance tuning","Kubernetes operators","controllers","service meshes","multi-cluster networking","cluster mesh solutions","GPU-heavy","HPC","performance-sensitive environments"],"datePosted":"2026-04-18T15:47:58.336Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Cilium CNI, cloud infrastructure, large-scale distributed systems, container networking, connectivity, network services, Kubernetes, eBPF datapath, policy model, load-balancing mechanisms, cloud networking concepts, VPCs, subnets, routing, security groups/ACLs, NAT, ingress/egress architectures, TCP/IP, dynamic routing, ECMP, MTU/fragmentation, overlay/underlay networking, Golang, C/C++, CI/CD environments, Kubernetes at scale, cluster lifecycle management, debugging networking issues, cloud-scale network services, Cilium, eBPF development, performance tuning, Kubernetes operators, controllers, service meshes, multi-cluster networking, cluster mesh solutions, GPU-heavy, HPC, performance-sensitive environments","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":165000,"maxValue":242000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_35ca76f9-e25"},"title":"Product Technical Support Associate, Edge Compute Systems","description":"<p>As a Product Technical Support Associate for Edge Compute Systems, you will play a critical role in ensuring the reliability and readiness of Anduril&#39;s fixed-site and expeditionary asset control solutions. GCS is designed to deliver real-time planning and control of autonomous systems at the tactical edge through several form-factor solutions to support system employment in any situation.</p>\n<p>In this role, you will support end users by improving field failure discovery, mitigation, and resolution processes, conducting root cause analysis, deploying fixes, and managing incidents across the GCS fleet. This position requires a strong problem-solving mindset and hands-on expertise in debugging and resolving complex compute hardware and software issues.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Sustain Anduril&#39;s GCS deployments by combining an understanding of our customers&#39; missions with familiarity of our products and delivered capabilities</li>\n<li>Triage, diagnose and root cause product incidents, driving postmortem actions including providing status visibility through resolution</li>\n<li>Consistently assess and seek to improve the quality of the fleet&#39;s observability and health telemetry in partnership with multiple functions across the GCS team</li>\n<li>Collect, organize, and analyze system failure data to define trends, drive proactive sustainment processes, and support resource allocation</li>\n<li>Support Anduril&#39;s global customers through proactive communications and detail-oriented execution</li>\n<li>Support the evaluation and improvement of product capabilities, analyzing customer communication and feedback for capability requirements, product performance indicators, and desired functionality</li>\n</ul>\n<p>Required qualifications include:</p>\n<ul>\n<li>4+ year of technical support experience with a focus on final-tier customer concern support</li>\n<li>Experience supporting and/or performing incident driven workflows requiring analysis, triage, and prioritization</li>\n<li>Experience in on-call support operations and working in limited risk tolerance environments</li>\n<li>Ability to work non-standard hours and weekends as needed</li>\n<li>Ability to obtain and maintain a U.S. Secret Security clearance</li>\n</ul>\n<p>Preferred qualifications include:</p>\n<ul>\n<li>BA or BS degree from accredited institution, STEM degree, preferably in computer science, software engineering, electrical engineering, information technology, or similar</li>\n<li>Experience supporting and/or operating compute-enabled communications systems, including electronic warfare domain experience, as a DOD employee, contractor, or end-user</li>\n<li>Experience with observability tooling such as DataDog, Grafana, and Victor Ops; exposure to software development tooling such as Git and Jira</li>\n<li>Applicable industry certifications (e.g. CompTIA Network+, CCNA, Linux+)</li>\n<li>Familiarity with and/or experience administrating NixOS systems</li>\n<li>Experience working as a system administrator</li>\n<li>Experience executing sustainment and reliability workflows for a defense-focused service or product</li>\n<li>DOD, Law Enforcement, or other Government agency experience preferred</li>\n<li>Demonstrated experience as a self-starter, able to find and resolve issues on your own</li>\n<li>Experience performing trend analysis to inform business decisions</li>\n<li>Strong aptitude for problem solving in unstructured situations at the interface of hardware, software, and networking</li>\n<li>Ability to drive challenging and vague technical problems to clarity and resolution</li>\n<li>Proven ability to master a technical system and support it in operational environments</li>\n<li>Must demonstrate an innate drive to be self-sufficient across the depth and breadth of a technical system</li>\n<li>Daily practice of excellence and rigor - you execute the 100th rep of a process with the same focus and care as the first five reps</li>\n<li>Confident with navigating ambiguity and crafting new ways of doing things</li>\n<li>Excellent written, visual, and verbal communication skills</li>\n<li>Active SECRET (or higher level) security clearance</li>\n</ul>\n<p>US Salary Range: $113,000-$149,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_35ca76f9-e25","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anduril Industries","sameAs":"https://www.andurilindustries.com/","logo":"https://logos.yubhub.co/andurilindustries.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/andurilindustries/jobs/5083881007","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$113,000-$149,000 USD","x-skills-required":["Technical support","Problem-solving","Debugging","Root cause analysis","Incident management","Observability","Health telemetry","System failure analysis","Proactive sustainment","Resource allocation","Customer communication","Detail-oriented execution","Product evaluation","Capability requirements","Product performance indicators","Desired functionality"],"x-skills-preferred":["Computer science","Software engineering","Electrical engineering","Information technology","NixOS systems administration","System administration","Sustainment and reliability workflows","Defense-focused services","Government agency experience","Self-starting","Trend analysis","Ambiguity navigation","Communication skills"],"datePosted":"2026-04-18T15:47:38.962Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Costa Mesa, California, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Technical support, Problem-solving, Debugging, Root cause analysis, Incident management, Observability, Health telemetry, System failure analysis, Proactive sustainment, Resource allocation, Customer communication, Detail-oriented execution, Product evaluation, Capability requirements, Product performance indicators, Desired functionality, Computer science, Software engineering, Electrical engineering, Information technology, NixOS systems administration, System administration, Sustainment and reliability workflows, Defense-focused services, Government agency experience, Self-starting, Trend analysis, Ambiguity navigation, Communication skills","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":113000,"maxValue":149000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_faffae87-882"},"title":"Staff Software Engineer - GenAI Performance and Kernel","description":"<p>As a staff software engineer for GenAI Performance and Kernel, you will own the design, implementation, optimization, and correctness of the high-performance GPU kernels powering our GenAI inference stack. You will lead development of highly-tuned, low-level compute paths, manage trade-offs between hardware efficiency and generality, and mentor others in kernel-level performance engineering.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Leading the design, implementation, benchmarking, and maintenance of core compute kernels optimized for various hardware backends (GPU, accelerators)</li>\n<li>Driving the performance roadmap for kernel-level improvements: vectorization, tensorization, tiling, fusion, mixed precision, sparsity, quantization, memory reuse, scheduling, auto-tuning, etc.</li>\n<li>Integrating kernel optimizations with higher-level ML systems</li>\n<li>Building and maintaining profiling, instrumentation, and verification tooling to detect correctness, performance regressions, numerical issues, and hardware utilization gaps</li>\n<li>Leading performance investigations and root-cause analysis on inference bottlenecks, e.g. memory bandwidth, cache contention, kernel launch overhead, tensor fragmentation</li>\n<li>Establishing coding patterns, abstractions, and frameworks to modularize kernels for reuse, cross-backend portability, and maintainability</li>\n<li>Influencing system architecture decisions to make kernel improvements more effective (e.g. memory layout, dataflow scheduling, kernel fusion boundaries)</li>\n<li>Mentoring and guiding other engineers working on lower-level performance, providing code reviews, and helping set best practices</li>\n<li>Collaborating with infrastructure, tooling, and ML teams to roll out kernel-level optimizations into production, and monitoring their impact</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>BS/MS/PhD in Computer Science, or a related field</li>\n<li>Deep hands-on experience writing and tuning compute kernels (CUDA, Triton, OpenCL, LLVM IR, assembly or similar sort) for ML workloads</li>\n<li>Strong knowledge of GPU/accelerator architecture: warp structure, memory hierarchy (global, shared, register, L1/L2 caches), tensor cores, scheduling, SM occupancy, etc.</li>\n<li>Experience with advanced optimization techniques: tiling, blocking, software pipelining, vectorization, fusion, loop transformations, auto-tuning</li>\n<li>Familiarity with ML-specific kernel libraries (cuBLAS, cuDNN, CUTLASS, oneDNN, etc.) or open kernels</li>\n<li>Strong debugging and profiling skills (Nsight, NVProf, perf, vtune, custom instrumentation)</li>\n<li>Experience reasoning about numerical stability, mixed precision, quantization, and error propagation</li>\n<li>Experience in integrating optimized kernels into real-world ML inference systems; exposure to distributed inference pipelines, memory management, and runtime systems</li>\n<li>Experience building high-performance products leveraging GPU acceleration</li>\n<li>Excellent communication and leadership skills , able to drive design discussions, mentor colleagues, and make trade-offs visible</li>\n<li>A track record of shipping performance-critical, high-quality production software</li>\n<li>Bonus: published in systems/ML performance venues (e.g. MLSys, ASPLOS, ISCA, PPoPP), experience with custom accelerators or FPGA, experience with sparsity or model compression techniques</li>\n</ul>\n<p>The pay range for this role is $190,900-$232,800 USD per year, depending on location and experience.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_faffae87-882","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8202700002","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$190,900-$232,800 USD per year","x-skills-required":["Compute kernels","GPU/accelerator architecture","Advanced optimization techniques","ML-specific kernel libraries","Debugging and profiling skills","Numerical stability","Mixed precision","Quantization","Error propagation","Distributed inference pipelines","Memory management","Runtime systems","High-performance products","GPU acceleration"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:46:07.442Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Compute kernels, GPU/accelerator architecture, Advanced optimization techniques, ML-specific kernel libraries, Debugging and profiling skills, Numerical stability, Mixed precision, Quantization, Error propagation, Distributed inference pipelines, Memory management, Runtime systems, High-performance products, GPU acceleration","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":190900,"maxValue":232800,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7271adab-eaf"},"title":"Integration & Test Lead","description":"<p>Anduril Industries is seeking an Integration &amp; Test Lead to join the Maneuver Dominance team at our Costa Mesa HQ to lead critical test efforts in developing an advanced airborne platform.</p>\n<p>This individual will play a pivotal role in shaping the future of vertical flight focusing on air vehicle development and integrating mission autonomy to meet the evolving demands of defence capabilities.</p>\n<p>You will work on new aircraft development, including propulsion systems, avionics, batteries, mechanisms, structures, sensors and payloads, in a lean, high-ownership culture where you directly shape the product and operate at a velocity to fly new designs.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Lead the use of &#39;Test&#39; as a design tool to support component, system and subsystem maturation from discrete bench tests to production representative Vehicle, Mission and Support Systems</li>\n</ul>\n<ul>\n<li>Develop and sustain highly representative Hardware In Lab (HIL) and Hardware In The Loop (HITL) physical integration environments – capable of &#39;flying&#39; missions</li>\n</ul>\n<ul>\n<li>Focus on the safety of integration environments, ensuring that potential harm of team members can be eliminated by design</li>\n</ul>\n<ul>\n<li>Develop, review, and execute right-sized test plans across integration environments, efficiently capturing and reporting learnings, and making recommendations as inputs to design</li>\n</ul>\n<ul>\n<li>Implement and maintain processes for configuration control of integration environments</li>\n</ul>\n<ul>\n<li>Support factory acceptance, ground and flight test of prototype and production representative Systems</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Bachelor degree or higher in Mechanical, Electrical, Mechatronics, Aerospace Engineering, Systems Engineering or aviation related technical discipline</li>\n</ul>\n<ul>\n<li>5+ years experience in Systems Engineering, integration and test</li>\n</ul>\n<ul>\n<li>Experience in developing and operating HIL/HITL/IRON BIRD environments for flight vehicles</li>\n</ul>\n<ul>\n<li>Vehicle/System level integration and test experience, preferably with Group 3 or larger uncrewed and autonomous platforms. 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Omen is an autonomous air vehicle (AAV) that packs the endurance, payload, and mission flexibility of much larger airplanes into a novel runway-independent Group 3 platform. You will work on new aircraft development, including propulsion systems, avionics, batteries, mechanisms, structures sensors and payloads, in a lean, high-ownership culture where you directly shape the product and operate at a velocity to fly new designs within months, not years.</p>\n<p>As an Integration and Test Technician, you will:</p>\n<ul>\n<li>Support the use of &#39;Test&#39; as a design tool to accelerate component, system and subsystem maturation from discrete bench tests to production representative Vehicle, Mission and Support Systems</li>\n<li>Assemble complex electro-mechanical subsystems, high quality wire harnesses, test racks, junction boxes, and associated components involving hand soldering and component assembly and integration</li>\n<li>Build, sustain and operate highly representative Hardware In the Lab (HIL) and Hardware In The Loop (HITL) physical integration environments, including high voltage, high power hybrid powertrain testbeds</li>\n<li>Integrate developmental subsystems into uncrewed surrogate platforms (Group 2 and 3 UAS), and support ongoing flight test and maintenance operations</li>\n<li>Act with a strong safety mindset (stop, think, do) to execute work safely in experimental environments with the aim of eliminating potential harm to team members</li>\n<li>Support Test Readiness Reviews (TRR), ensuring that tests can be safety and efficiently conducted</li>\n<li>Execute test procedures across integration environments, efficiently capturing and reporting learnings</li>\n<li>Maintain configuration control of integration environments</li>\n<li>Support build, ground and flight test of prototype and production representative Omen Systems</li>\n</ul>\n<p>The ideal candidate will have:</p>\n<ul>\n<li>Associate Degree (or similar) in Electrical/Electronics, Computer, Mechanical Technologies, or related fields</li>\n<li>5+ years of component, electrical and electronics build and test experience in an R&amp;D environment and exposure to manufacturing settings with rigorous quality systems (such as Aerospace, Electronics, or Medical industries)</li>\n<li>Participation in building and operating HIL/HITL/IRON BIRD environments for flight vehicles</li>\n<li>Experience in operating and maintaining Group 2 or 3 UAS (or larger)</li>\n<li>Competency in reading electrical system and component schematics, and capturing &#39;as-built&#39; configurations</li>\n<li>Proficiency with electronics test equipment such as power supplies, electronic loads, oscilloscope, function generators, data acquisition and diagnostic sensors</li>\n<li>Knowledge of electronics/communications/integration troubleshooting, experience in debug of common protocols such as CAN/Ethernet/Serial</li>\n<li>Experience with high voltage and high power testing such as propulsion inverters, batteries and hybrid powertrains</li>\n<li>Competency with Linux and command line interface as well as software debugging preferable</li>\n<li>Excellent written, verbal, interpersonal and communication skills</li>\n<li>A sincere commitment to a positive, inclusive, and collaborative culture</li>\n<li>Eligible to obtain and maintain a security clearance in United States, United Kingdom, or Australia desirable</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_cf714d40-de5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anduril","sameAs":"https://www.anduril.com/","logo":"https://logos.yubhub.co/anduril.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/andurilindustries/jobs/5006275007","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$146,000-$194,000 USD","x-skills-required":["Electrical/Electronics","Computer","Mechanical Technologies","Component assembly and integration","High voltage and high power testing","Linux and command line interface","Software debugging","Electronics test equipment","Electronic loads","Oscilloscope","Function generators","Data acquisition and diagnostic sensors","CAN/Ethernet/Serial protocols"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:45:14.794Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Costa Mesa, California, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Electrical/Electronics, Computer, Mechanical Technologies, Component assembly and integration, High voltage and high power testing, Linux and command line interface, Software debugging, Electronics test equipment, Electronic loads, Oscilloscope, Function generators, Data acquisition and diagnostic sensors, CAN/Ethernet/Serial protocols","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":146000,"maxValue":194000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_061e824c-343"},"title":"Software Engineer: Distributed Systems (Infrastructure)","description":"<p>About Us</p>\n<p>At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world&#39;s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.</p>\n<p>We protect and accelerate any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.</p>\n<p>Responsibilities</p>\n<p>As a Software Engineer: Distributed Systems, you will be part of a Resiliency Organization responsible for the core services that power Cloudflare&#39;s global operations. We are looking for engineers to join the Infrastructure Intelligence team and shape the transition toward model-driven network orchestration.</p>\n<p>The team is building a cutting-edge &#39;Maintenance Coordination System&#39;, powered by an infrastructure dependency graph of one of the world&#39;s largest physical networks. This is a foundational step towards designing intelligent, autonomous systems that will transform the orchestration of Cloudflare&#39;s network.</p>\n<p>It forms the basis of many future projects to build the core data structures and services required to ensure our network optimization, network forecasting, and capacity planning are the state of the art. By creating the robust primitives for global coordination today, you will be enabling the next generation of data-driven infrastructure at Cloudflare.</p>\n<p>This is a unique opportunity to work on complex, globally distributed systems which underpin all Cloudflare products.</p>\n<p>Technologies we use:</p>\n<ul>\n<li>Cloudflare Workers, Workers KV, R2, and Durable Objects</li>\n</ul>\n<ul>\n<li>Kubernetes</li>\n</ul>\n<ul>\n<li>Go, Typescript, Python</li>\n</ul>\n<ul>\n<li>For service monitoring we use Prometheus, Grafana and Sentry</li>\n</ul>\n<p>Requirements</p>\n<ul>\n<li>A degree in Computer Science, Engineering, Mathematics, Statistics or related field; OR have relevant background/experience to the field.</li>\n</ul>\n<ul>\n<li>Programming experience in Go, or similar languages</li>\n</ul>\n<ul>\n<li>Experience in designing and implementing secure and highly-available distributed systems</li>\n</ul>\n<ul>\n<li>Experience (and love) for debugging to ensure the system works in all cases</li>\n</ul>\n<ul>\n<li>Experience with a continuous integration workflow and using source control (we use git)</li>\n</ul>\n<ul>\n<li>Experience with continuous delivery and deployment of a k8s hosted application</li>\n</ul>\n<ul>\n<li>Understanding of security issues and responsibilities</li>\n</ul>\n<ul>\n<li>Experience with monitoring, alerting and debugging high volume production systems</li>\n</ul>\n<ul>\n<li>Fluent in analyses of data sets such as logs</li>\n</ul>\n<ul>\n<li>Strong English language oral and written communications skills</li>\n</ul>\n<ul>\n<li>Designing and building APIs</li>\n</ul>\n<ul>\n<li>Experience with the Cloudflare development stack is a plus</li>\n</ul>\n<p>Examples of desirable skills, knowledge and experience</p>\n<ul>\n<li>At least 4 years of hands-on software development experience on meaningfully complex systems.</li>\n</ul>\n<ul>\n<li>Experience with graph theory and building services for graph generation, storage and retrieval.</li>\n</ul>\n<ul>\n<li>An understanding of the systems architecture required to scale machine learning model-driven decision engines in a production environment</li>\n</ul>\n<ul>\n<li>Experience building both backend systems and frontend widgets.</li>\n</ul>\n<ul>\n<li>Ability to contribute to planning, development, and execution to meet commitments and deliver with predictability.</li>\n</ul>\n<ul>\n<li>Experience implementing tools, processes, internal instrumentation, and methodologies.</li>\n</ul>\n<ul>\n<li>Comfortable working on projects with tight deadlines and short release cycles.</li>\n</ul>\n<ul>\n<li>Strong verbal and written English language skills.</li>\n</ul>\n<ul>\n<li>Experience with DCIM, CMDB, IPAM, and other Data Center and Asset Lifecycle Management tools is a plus.</li>\n</ul>\n<ul>\n<li>Experience with data ingestion and analysis - pulling metrics from hundreds of edge data centers.</li>\n</ul>\n<p>Compensation</p>\n<p>For Washington D.C. based hires: Estimated annual salary of $140,000 - 172,000.</p>\n<p>Equity</p>\n<p>This role is eligible to participate in Cloudflare&#39;s equity plan.</p>\n<p>Benefits</p>\n<p>Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!</p>\n<p>The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.</p>\n<p>Health &amp; Welfare Benefits</p>\n<ul>\n<li>Medical/Rx Insurance</li>\n</ul>\n<ul>\n<li>Dental Insurance</li>\n</ul>\n<ul>\n<li>Vision Insurance</li>\n</ul>\n<ul>\n<li>Flexible Spending Accounts</li>\n</ul>\n<ul>\n<li>Commuter Spending Accounts</li>\n</ul>\n<ul>\n<li>Fertility &amp; Family Forming Benefits</li>\n</ul>\n<ul>\n<li>On-demand mental health support and Employee Assistance Program</li>\n</ul>\n<ul>\n<li>Global Travel Medical Insurance</li>\n</ul>\n<p>Financial Benefits</p>\n<ul>\n<li>Short and Long Term Disability Insurance</li>\n</ul>\n<ul>\n<li>Life &amp; Accident Insurance</li>\n</ul>\n<ul>\n<li>401(k) Retirement Savings Plan</li>\n</ul>\n<ul>\n<li>Employee Stock Participation Plan</li>\n</ul>\n<p>Time Off</p>\n<ul>\n<li>Flexible paid time off covering vacation and sick leave</li>\n</ul>\n<ul>\n<li>Leave programs, including parental, pregnancy health, medical, and bereavement leave</li>\n</ul>\n<p>What Makes Cloudflare Special?</p>\n<p>We&#39;re not just a highly ambitious, large-scale technology company. We&#39;re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.</p>\n<p>Project Galileo: Since 2014, we&#39;ve equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare&#39;s enterprise customers--at no cost.</p>\n<p>Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we&#39;ve provided services to more than 425 local government election websites in 33 states.</p>\n<p>1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever built.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_061e824c-343","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Cloudflare","sameAs":"https://www.cloudflare.com/","logo":"https://logos.yubhub.co/cloudflare.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/cloudflare/jobs/7088208","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Programming experience in Go, or similar languages","Experience in designing and implementing secure and highly-available distributed systems","Experience (and love) for debugging to ensure the system works in all cases","Experience with a continuous integration workflow and using source control (we use git)","Experience with continuous delivery and deployment of a k8s hosted application","Understanding of security issues and responsibilities","Experience with monitoring, alerting and debugging high volume production systems","Fluent in analyses of data sets such as logs","Strong English language oral and written communications skills","Designing and building APIs","Experience with the Cloudflare development stack is a plus"],"x-skills-preferred":["At least 4 years of hands-on software development experience on meaningfully complex systems","Experience with graph theory and building services for graph generation, storage and retrieval","An understanding of the systems architecture required to scale machine learning model-driven decision engines in a production environment","Experience building both backend systems and frontend widgets","Ability to contribute to planning, development, and execution to meet commitments and deliver with predictability","Experience implementing tools, processes, internal instrumentation, and methodologies","Comfortable working on projects with tight deadlines and short release cycles","Strong verbal and written English language skills","Experience with DCIM, CMDB, IPAM, and other Data Center and Asset Lifecycle Management tools is a plus","Experience with data ingestion and analysis - pulling metrics from hundreds of edge data centers"],"datePosted":"2026-04-18T15:45:07.400Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hybrid"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Programming experience in Go, or similar languages, Experience in designing and implementing secure and highly-available distributed systems, Experience (and love) for debugging to ensure the system works in all cases, Experience with a continuous integration workflow and using source control (we use git), Experience with continuous delivery and deployment of a k8s hosted application, Understanding of security issues and responsibilities, Experience with monitoring, alerting and debugging high volume production systems, Fluent in analyses of data sets such as logs, Strong English language oral and written communications skills, Designing and building APIs, Experience with the Cloudflare development stack is a plus, At least 4 years of hands-on software development experience on meaningfully complex systems, Experience with graph theory and building services for graph generation, storage and retrieval, An understanding of the systems architecture required to scale machine learning model-driven decision engines in a production environment, Experience building both backend systems and frontend widgets, Ability to contribute to planning, development, and execution to meet commitments and deliver with predictability, Experience implementing tools, processes, internal instrumentation, and methodologies, Comfortable working on projects with tight deadlines and short release cycles, Strong verbal and written English language skills, Experience with DCIM, CMDB, IPAM, and other Data Center and Asset Lifecycle Management tools is a plus, Experience with data ingestion and analysis - pulling metrics from hundreds of edge data centers"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2b9ebe3a-9c7"},"title":"Principal Product Manager, Agentic Tools & Orchestration","description":"<p>We&#39;re looking for a Principal Product Manager to lead the development of our agentic tools and orchestration platform. As a key member of our product team, you will be responsible for defining, building, and evolving the tool ecosystem that powers our multi-agent orchestration system.</p>\n<p>Your 下 responsibilities will include:</p>\n<ul>\n<li>Owning the agentic tools platform, including the registry of capabilities agents can invoke, the standards for how tools are built, and the governance for how they&#39;re deployed.</li>\n<li>Balancing the tension between enabling rapid tool development and maintaining the reliability that production agents demand.</li>\n<li>Architecting integration strategy, including determining which integrations unlock disproportionate value, negotiating technical partnerships, and defining the abstraction layers that make integrations composable rather than brittle.</li>\n<li>Driving agentic execution excellence, including partnering with ML engineers on tool selection optimization, prompt engineering for reliable tool invocation, and error handling patterns that make agents resilient.</li>\n<li>Enabling internal tool development, including building the developer experience,documentation, templates, testing frameworks, deployment pipelines,that lets teams ship new tools without deep platform expertise.</li>\n</ul>\n<p>In this role, you will be working at the forefront of agentic technology, evaluating innovations and determining which advances warrant immediate adoption versus patient observation. You will also be responsible for navigating the agentic frontier, including bringing external best practices to ZoomInfo while contributing learnings back to the community.</p>\n<p>To be successful in this role, you will need to have a strong background in product management, with 6-15 years of experience in AI/ML infrastructure, developer platforms, or integration products. You should also have direct experience with production agentic systems, hands-on familiarity with agentic frameworks, and a track record of building platform products where engineering teams are your customers.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_2b9ebe3a-9c7","directApply":true,"hiringOrganization":{"@type":"Organization","name":"ZoomInfo","sameAs":"https://www.zoominfo.com/","logo":"https://logos.yubhub.co/zoominfo.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/zoominfo/jobs/8477033002","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Agentic frameworks","Production agentic systems","Integration architecture","APIs","Webhooks","Authentication patterns","Rate limiting","Error handling at scale","Python","Prompt engineering","Tool description effectiveness","Debugging agent execution traces"],"x-skills-preferred":["Context engineering intuition","Integration systems thinking","Platform product mindset","Intellectual velocity","Strategic communication"],"datePosted":"2026-04-18T15:45:03.131Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Waltham, Massachusetts, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Agentic frameworks, Production agentic systems, Integration architecture, APIs, Webhooks, Authentication patterns, Rate limiting, Error handling at scale, Python, Prompt engineering, Tool description effectiveness, Debugging agent execution traces, Context engineering intuition, Integration systems thinking, Platform product mindset, Intellectual velocity, Strategic communication"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b8b4f70b-624"},"title":"Software Engineer, Network Performance & Reliability","description":"<p>About Us At Cloudflare, we&#39;re on a mission to help build a better Internet. We protect and accelerate any Internet application online without adding hardware, installing software, or changing a line of code.</p>\n<p>As a member of the Argo team, you&#39;ll be a key technical contributor to the cutting-edge network software infrastructure used by Cloudflare&#39;s products. You will work closely with various Engineering teams to translate their requirements into new capabilities on the platform.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Participate in all stages of the software development lifecycle, from designing and documenting systems, to writing code and automated tests, to planning, managing, and monitoring production software deployments.</li>\n<li>Work with a wide range of technologies and programming languages, including Rust, Go, Linux networking, ClickHouse, PostgreSQL, Grafana, Kubernetes, and more.</li>\n<li>Use AI-powered tools and systems as part of your daily workflow to analyze and extend codebases, introspect production systems and datasets, and accelerate problem-solving.</li>\n</ul>\n<p>Must-Have Skills</p>\n<ul>\n<li>Systems-level programming experience in Go, Rust, C, or C++.</li>\n<li>A solid grasp of networking protocols in Layers 3 and 4 of the OSI Model.</li>\n<li>Knowledge of HTTP, TLS, and CDN networks.</li>\n<li>Experience in implementing secure and highly-available distributed systems.</li>\n<li>Strong ability to debug issues in complex systems.</li>\n<li>Strong collaboration and communication skills.</li>\n</ul>\n<p>Bonus Points</p>\n<ul>\n<li>Knowledge of TCP/IP and Internet routing.</li>\n<li>Professional systems-level programming experience in Rust.</li>\n<li>Working knowledge of statistical-analysis techniques and control theory.</li>\n<li>Experience building tools and APIs.</li>\n<li>Experience with monitoring, alerting, and debugging large-scale distributed systems</li>\n<li>Experience participating in an on-call rotation.</li>\n<li>Experience using AI-assisted development tools (e.g., code completion, codebase analysis, log/data exploration) in a professional setting.</li>\n</ul>\n<p>What Makes Cloudflare Special?</p>\n<ul>\n<li>We&#39;re a highly ambitious, large-scale technology company with a soul.</li>\n<li>We&#39;re committed to protecting the free and open Internet.</li>\n<li>We&#39;ve equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work.</li>\n<li>We&#39;ve provided services to more than 425 local government election websites in 33 states.</li>\n<li>We&#39;ve released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver.</li>\n</ul>\n<p>Sound like something you&#39;d like to be a part of? We&#39;d love to hear from you!</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_b8b4f70b-624","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Cloudflare","sameAs":"https://www.cloudflare.com/","logo":"https://logos.yubhub.co/cloudflare.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/cloudflare/jobs/7446310","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Systems-level programming experience in Go, Rust, C, or C++","A solid grasp of networking protocols in Layers 3 and 4 of the OSI Model","Knowledge of HTTP, TLS, and CDN networks","Experience in implementing secure and highly-available distributed systems","Strong ability to debug issues in complex systems"],"x-skills-preferred":["Knowledge of TCP/IP and Internet routing","Professional systems-level programming experience in Rust","Working knowledge of statistical-analysis techniques and control theory","Experience building tools and APIs","Experience with monitoring, alerting, and debugging large-scale distributed systems"],"datePosted":"2026-04-18T15:44:56.994Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hybrid"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Systems-level programming experience in Go, Rust, C, or C++, A solid grasp of networking protocols in Layers 3 and 4 of the OSI Model, Knowledge of HTTP, TLS, and CDN networks, Experience in implementing secure and highly-available distributed systems, Strong ability to debug issues in complex systems, Knowledge of TCP/IP and Internet routing, Professional systems-level programming experience in Rust, Working knowledge of statistical-analysis techniques and control theory, Experience building tools and APIs, Experience with monitoring, alerting, and debugging large-scale distributed systems"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_dc6154f8-cff"},"title":"Research Engineer, Pretraining Scaling - London","description":"<p>About Anthropic\\n\\nAnthropic&#39;s mission is to create reliable, interpretable, and steerable AI systems.\\n\\nAbout the Role:\\n\\nAs a Research Engineer on Anthropic&#39;s ML Performance and Scaling team, you&#39;ll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems.\\n\\nResponsibilities:\\n\\n- Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability\\n- Debug and resolve complex issues across the full stack,from hardware errors and networking to training dynamics and evaluation infrastructure\\n- Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance\\n- Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams\\n- Build and maintain production logging, monitoring dashboards, and evaluation infrastructure\\n- Add new capabilities to the training codebase, such as long context support or novel architectures\\n- Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams\\n- Contribute to the team&#39;s institutional knowledge by documenting systems, debugging approaches, and lessons learned\\n\\nYou May Be a Good Fit If You:\\n\\n- Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems\\n- Genuinely enjoy both research and engineering work,you&#39;d describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other\\n- Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure\\n- Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs\\n- Excel at debugging complex, ambiguous problems across multiple layers of the stack\\n- Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents\\n- Are passionate about the work itself and want to refine your craft as a research engineer\\n- Care about the societal impacts of AI and responsible scaling\\n\\nStrong Candidates May Also Have:\\n\\n- Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale\\n- Contributed to open-source LLM frameworks (e.g., open_lm, llm-foundry, mesh-transformer-jax)\\n- Published research on model training, scaling laws, or ML systems\\n- Experience with production ML systems, observability tools, or evaluation infrastructure\\n- Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence\\n\\nWhat Makes This Role Unique:\\n\\nThis is not a typical research engineering role. The work is highly operational,you&#39;ll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends.\\n\\nHowever, this operational intensity comes with extraordinary learning opportunities. You&#39;ll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You&#39;ll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can&#39;t be easily transferred. For people who thrive on this type of work, it&#39;s uniquely rewarding.\\n\\nWe&#39;re building a close-knit team of people who genuinely care about doing excellent work together. If you&#39;re someone who wants to be part of training the models that will define the future of AI,and you&#39;re excited about the full reality of what that entails,we&#39;d love to hear from you.\\n\\nLocation:\\n\\nThis role requires working in-office 5 days per week in London.\\n\\nDeadline to apply:\\n\\nNone. Applications will be reviewed on a rolling basis.\\n\\nThe annual compensation range for this role is listed below.\\n\\nFor sales roles, the range provided is the role’s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\\n\\nAnnual Salary:\\n\\n£260,000-£630,000 GBP\\n\\nLogistics\\n\\nMinimum education:\\n\\nBachelor’s degree or an equivalent combination of education, training, and/or experience\\n\\nRequired field of study:\\n\\nA field relevant to the role as demonstrated through coursework, training, or professional experience\\n\\nMinimum years of experience:\\n\\nYears of experience required will correlate with the internal job level requirements for the position\\n\\nLocation-based hybrid policy:\\n\\nCurrently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\\n\\nVisa sponsorship:\\n\\nWe do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.\\n\\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work. We think AI systems like the ones we&#39;re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.\\n\\nYour safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links,visit anthropic.com/careers directly for confirmed position openings.\\n\\nHow we&#39;re different\\n\\nWe believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. 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This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems.\\n\\n## Responsibilities:\\n\\n- Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability\\n- Debug and resolve complex issues across the full stack,from hardware errors and networking to training dynamics and evaluation infrastructure\\n- Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance\\n- Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams\\n- Build and maintain production logging, monitoring dashboards, and evaluation infrastructure\\n- Add new capabilities to the training codebase, such as long context support or novel architectures\\n- Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams\\n- Contribute to the team&#39;s institutional knowledge by documenting systems, debugging approaches, and lessons learned\\n\\n## You May Be a Good Fit If You:\\n\\n- Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems\\n- Genuinely enjoy both research and engineering work,you&#39;d describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other\\n- Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure\\n- Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs\\n- Excel at debugging complex, ambiguous problems across multiple layers of the stack\\n- Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents\\n- Are passionate about the work itself and want to refine your craft as a research engineer\\n- Care about the societal impacts of AI and responsible scaling\\n\\n## Strong Candidates May Also Have:\\n\\n- Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale\\n- Contributed to open-source LLM frameworks (e.g., open_lm, llm-foundry, mesh-transformer-jax)\\n- Published research on model training, scaling laws, or ML systems\\n- Experience with production ML systems, observability tools, or evaluation infrastructure\\n- Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence\\n\\n## What Makes This Role Unique:\\n\\nThis is not a typical research engineering role. The work is highly operational,you&#39;ll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends.\\n\\nHowever, this operational intensity comes with extraordinary learning opportunities. You&#39;ll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You&#39;ll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can&#39;t be easily transferred. For people who thrive on this type of work, it&#39;s uniquely rewarding.\\n\\nWe&#39;re building a close-knit team of people who genuinely care about doing excellent work together. If you&#39;re someone who wants to be part of training the models that will define the future of AI,and you&#39;re excited about the full reality of what that entails,we&#39;d love to hear from you.\\n\\nLocation: This role requires working in-office 5 days per week in San Francisco.\\n\\nDeadline to apply: None. Applications will be reviewed on a rolling basis.\\n\\nThe annual compensation range for this role is listed below.\\n\\nFor sales roles, the range provided is the role’s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\\n\\nAnnual Salary: $350,000-$850,000 USD\\n\\n## Logistics\\n\\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\\n\\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience\\n\\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\\n\\nLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\\n\\nVisa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.\\n\\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work. We think AI systems like the ones we&#39;re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.\\n\\nYour safety matters to us. 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You&#39;ll help us identify and close gaps in our team&#39;s technical knowledge, provide high-touch support to strategic customers, and demonstrate deep care for how we systematically support customers at scale.</p>\n<p>Responsibilities: Become an expert in all Anthropic products Respond to user support cases with a variety of complexity Clearly and empathetically communicate with a wide range of user personas Manage on-call tasks for high-urgency user issues Prioritize critically and comfortably adapt to an ever-evolving product landscape Operate in ambiguity, making informed decisions even in never-before-seen situations Partner with engineers, teammates, and other internal stakeholders to diagnose and resolve user issues Suggest and drive improvements to increase user satisfaction through support processes Uplevel our team&#39;s technical knowledge by scoping gaps, working with cross-functional partners, and building resources</p>\n<p>You may be a good fit if you: Have experience in technical product support, including API debugging Are familiar with APIs and technical SaaS products Have demonstrated an ability to thrive in fast-paced, reactive situations Possess strong user empathy and are expert in the lifecycle of a support case Have crisp but kind written communication skills and a deep care for the details Enjoy helping others learn about new features and complex concepts Experience troubleshooting SSO, SAML, and OAuth authentication flows Are persistent and curious, and enjoy fixing bugs and issues Have experience contributing to the foundations of a support team Are proficient at working in a technical environment and are interested in Anthropic&#39;s products Possess a deep sense of ownership and are excited to help us build our team!</p>\n<p>Strong candidates may also have: Comfort with command line interfaces and basic scripting Understanding of LLM capabilities, practical applications, and current limitations Familiarity with enterprise networking concepts and IT infrastructure Familiarity with Git workflows and version control concepts SQL proficiency for querying logs and investigating issues Experience supporting government or public sector customers, including familiarity with compliance requirements and security frameworks Background in team lead roles or managing contract/vendor support teams</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_b4d124bc-858","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/4979585008","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$116,480-$165,000 USD","x-skills-required":["API debugging","APIs","technical SaaS products","user empathy","written communication skills","troubleshooting SSO, SAML, and OAuth authentication flows","persistent and curious","fixing bugs and issues","contributing to the foundations of a support team","proficient at working in a technical environment","deep sense of ownership"],"x-skills-preferred":["command line interfaces and basic scripting","LLM capabilities, practical applications, and current limitations","enterprise networking concepts and IT infrastructure","Git workflows and version control concepts","SQL proficiency for querying logs and investigating issues","supporting government or public sector customers","team lead roles or managing contract/vendor support teams"],"datePosted":"2026-04-18T15:40:53.821Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"API debugging, APIs, technical SaaS products, user empathy, written communication skills, troubleshooting SSO, SAML, and OAuth authentication flows, persistent and curious, fixing bugs and issues, contributing to the foundations of a support team, proficient at working in a technical environment, deep sense of ownership, command line interfaces and basic scripting, LLM capabilities, practical applications, and current limitations, enterprise networking concepts and IT infrastructure, Git workflows and version control concepts, SQL proficiency for querying logs and investigating issues, supporting government or public sector customers, team lead roles or managing contract/vendor support teams","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":116480,"maxValue":165000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9b657c4e-8a1"},"title":"Member of Technical Staff - 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You will take ownership of infrastructure components that process trillions of events daily, driving the scalability, performance, and reliability of the systems that power product and ML workloads across the company.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design and implement high-throughput, low-latency data ingestion and transport systems.</li>\n<li>Scale and optimize multi-tenant Kafka infrastructure supporting real-time workloads.</li>\n<li>Extend and tune Spark, Flink, and Trino for demanding production pipelines.</li>\n<li>Build interfaces, APIs, and pipelines enabling teams to query, process, and move data at petabyte scale.</li>\n<li>Debug and optimize distributed systems, with a focus on reliability and performance under load.</li>\n<li>Collaborate with ML, product, and infrastructure teams to unblock critical data workflows.</li>\n</ul>\n<p><strong>Basic Qualifications</strong></p>\n<ul>\n<li>Proven expertise in distributed systems, stream processing, or large-scale data platforms.</li>\n<li>Proficiency in Rust, Go, Scala or similar systems languages.</li>\n<li>Hands-on experience with Kafka, Flink, Spark, Trino, or Hadoop in production.</li>\n<li>Strong debugging, profiling, and performance optimization skills.</li>\n<li>Track record of shipping and maintaining critical infrastructure.</li>\n<li>Comfortable working in fast-moving, high-stakes environments with minimal guardrails.</li>\n</ul>\n<p><strong>Compensation and Benefits</strong></p>\n<p>$180,000 - $440,000 USD</p>\n<p>Base salary is just one part of our total rewards package at X, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short &amp; long-term disability insurance, life insurance, and various other discounts and perks.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_9b657c4e-8a1","directApply":true,"hiringOrganization":{"@type":"Organization","name":"xAI","sameAs":"https://www.x.ai/","logo":"https://logos.yubhub.co/x.ai.png"},"x-apply-url":"https://job-boards.greenhouse.io/xai/jobs/4803862007","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$180,000 - $440,000 USD","x-skills-required":["distributed systems","stream processing","large-scale data platforms","Rust","Go","Scala","Kafka","Flink","Spark","Trino","Hadoop","debugging","profiling","performance optimization"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:40:03.394Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Palo Alto, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"distributed systems, stream processing, large-scale data platforms, Rust, Go, Scala, Kafka, Flink, Spark, Trino, Hadoop, debugging, profiling, performance optimization","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":440000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_63af8568-789"},"title":"Engineering Manager, Inference Routing and Performance","description":"<p><strong>About the role\\nEvery request that hits Claude , from claude.ai, the API, our cloud partners, or internal research , passes through a routing decision. Not a generic load balancer round-robin, but a decision that accounts for what&#39;s already cached where, which accelerator the request runs best on, and what else is in flight across the fleet.\\n\\nGet it right and you extract meaningfully more throughput from the same hardware. Get it wrong and you burn capacity, miss latency SLOs, or shed load that shouldn&#39;t have been shed.\\n\\nThe Inference Routing team owns this layer. We build the cluster-level routing and coordination plane for Anthropic&#39;s inference fleet , the system that sits between the API surface and the inference engines themselves, making fleet-wide efficiency decisions in real time.\\n\\nAs Anthropic moves from &quot;many independent inference replicas&quot; toward &quot;a single warehouse-scale computer running a coordinated program,&quot; Dystro is the coordination layer. This is a deeply technical team.\\n\\nThe engineers here design custom load-balancing algorithms, build quantitative models of system performance, debug latency spikes that cross kernel, network, and framework boundaries, and reason carefully about cache placement across thousands of accelerators.\\n\\nThey work shoulder-to-shoulder with teams that write kernels and ML framework internals.\\n\\nThe EM for this team doesn&#39;t need to write kernels , but they do need the systems depth to make architectural calls, evaluate deeply technical candidates, and spot when a proposed optimization will have second-order effects on the fleet.\\n\\nYou&#39;ll inherit a strong team of distributed-systems engineers, and you&#39;ll be accountable for two things that pull in different directions: shipping system-level performance improvements that measurably increase fleet throughput and efficiency, and running the team operationally so that deploys are safe, incidents are rare, and the teams who depend on Dystro can plan around you with confidence.\\n\\nThe job is holding both.\\n\\n## Representative work:\\nThings the Inference Routing EM actually spends time on:\\n- Deciding whether a proposed routing algorithm change is worth the deploy risk, given the modeled throughput gain and the blast radius if it regresses\\n- Sequencing a quarter where KV-cache offload, a new coordination protocol, and two model launches all compete for the same engineers\\n- Working through a persistent tail-latency regression with the team , walking down from fleet-level metrics to per-replica behavior to a root cause in the networking stack\\n- Building the case (with numbers) to peer teams for why a cross-team protocol change unlocks the next efficiency win\\n- Running the post-incident review after a cache-eviction bug caused a capacity event, and turning it into process changes that stick\\n- Interviewing a candidate who has built schedulers at supercomputing scale, and deciding whether they&#39;d be additive to a team that already goes deep\\n\\n## What you&#39;ll do:\\nDrive system-level performance\\n- Own the technical roadmap for cluster-level inference efficiency , routing decisions, cache placement and eviction, cross-replica coordination, and the protocols that keep routing and inference engines in sync\\n- Partner with the inference engine, kernels, and performance teams to identify fleet-level throughput and latency wins, then turn those into shipped improvements with measurable results\\n- Build the team&#39;s habit of quantitative performance modeling: claim a win only when you can measure it, and know before you ship what the expected effect is\\n\\nDeliver reliably and operate cleanly\\n- Set technical strategy for how routing evolves across heterogeneous hardware (GPUs, TPUs, Trainium) and across all our serving surfaces\\n- Run the team&#39;s operational backbone , on-call rotation, incident response, postmortem review, deploy safety , so the team can ship aggressively without the system becoming fragile\\n- Create clarity at a seam: Inference Routing sits between the API surface, the inference engines, and the cloud deployment teams. You&#39;ll make sure commitments are realistic, dependencies are understood, and nobody is surprised\\n\\nBuild and grow the team\\n- Develop and retain a strong existing team, and hire against the bar described above: people who can go to the OS and framework level when the problem demands it, and who care about production reliability\\n- Coach engineers through a roadmap where priorities shift with model launches, new hardware, and scaling demands. We pair a lot here , you&#39;ll help make that collaboration pattern productive\\n- Pick up slack when it matters. This is a small team in a critical path; sometimes the EM is the one unblocking a stuck deploy or synthesizing a design debate\\n\\n## You may be a good fit if you:\\n- Have 5+ years of engineering management experience, ideally with at least part of that leading teams on critical-path production infrastructure at scale\\n- Have a deep systems background , load balancing, scheduling, cache-coherent distributed state, high-performance networking, or similar. You need enough depth to make architectural calls about routing and efficiency, and to evaluate candidates who go to the kernel and framework level\\n- Have shipped performance improvements in large-scale systems and can explain, with numbers, what the impact was\\n- Have run production infrastructure with real operational stakes: on-call, incident response, capacity events, deploy discipline\\n- Are results-oriented with a bias toward impact, and comfortable working in a space where throughput, latency, stability, and feature velocity all pull in different directions\\n- Build strong relationships across team boundaries , this is a seam role, and much of the job is making sure other teams can rely on yours\\n- Are curious about machine learning systems. You don&#39;t need an ML research background, but you should want to learn how transformer inference actually works and how that shapes the systems problems\\n\\nStrong candidates may also have:\\n- Experience with LLM inference serving , KV caching, continuous batching, request scheduling, prefill/decode disaggregation\\n- Background in cluster schedulers, load balancers, service meshes, or coordination planes at scale\\n- Familiarity with heterogeneous accelerator fleets (GPU/TPU/Trainium) and how hardware differences affect workload placement\\n- Experience with GPU/accelerator programming, ML framework internals, or OS-level performance debugging , enough to follow and evaluate the technical work, not necessarily to do it daily\\n- Led teams at supercomputing or hyperscaler infrastructure scale\\n- Led teams through rapid-growth periods where hiring and onboarding competed with roadmap delivery\\n\\nThe annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\\nAnnual Salary: $405,000-$485,000 USD</strong></p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_63af8568-789","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5155391008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$405,000-$485,000 USD","x-skills-required":["engineering management","deep systems background","load balancing","scheduling","cache-coherent distributed state","high-performance networking"],"x-skills-preferred":["LLM inference serving","cluster schedulers","load balancers","service meshes","coordination planes","heterogeneous accelerator fleets","GPU/TPU/Trainium","GPU/accelerator programming","ML framework internals","OS-level performance debugging"],"datePosted":"2026-04-18T15:37:38.038Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"engineering management, deep systems background, load balancing, scheduling, cache-coherent distributed state, high-performance networking, LLM inference serving, cluster schedulers, load balancers, service meshes, coordination planes, heterogeneous accelerator fleets, GPU/TPU/Trainium, GPU/accelerator programming, ML framework internals, OS-level performance debugging","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":405000,"maxValue":485000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b47fc91b-597"},"title":"Anthropic Fellows Program — ML Systems & Performance","description":"<p>The Anthropic Fellows Program is a 4-month full-time research opportunity designed to foster AI research and engineering talent. We provide funding and mentorship to promising technical talent, regardless of previous experience. Fellows will primarily use external infrastructure to work on an empirical project aligned with our research priorities, with the goal of producing a public output. In one of our earlier cohorts, over 80% of fellows produced papers.</p>\n<p>We run multiple cohorts of Fellows each year and review applications on a rolling basis. This application is for cohorts starting in July 2026 and beyond.</p>\n<p>As a Fellow, you will receive:</p>\n<ul>\n<li>Direct mentorship from Anthropic researchers</li>\n<li>Access to a shared workspace in either Berkeley, California or London, UK</li>\n<li>Connection to the broader AI safety and security research community</li>\n<li>A weekly stipend of $3,850 USD / £2,310 GBP / $4,300 CAD, plus benefits</li>\n<li>Funding for compute and other research expenses</li>\n</ul>\n<p>The interview process will include an initial application and reference check, technical assessments and interviews, and a research discussion.</p>\n<p>We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</p>\n<p>The expected base stipend for this role is $3,850 USD / £2,310 GBP / $4,300 CAD per week, with an expectation of 40 hours per week for 4 months (with possible extension).</p>\n<p>Fellows will undergo a project selection and mentor matching process. Potential mentors include Alwin Peng and Zygi Straznickas. For a past example of an engineering-heavy project, see &#39;AI agents find $4.6M in blockchain smart contract exploits&#39;.</p>\n<p>Projects in this workstream may include building a CPU simulator for accelerator workloads, adding backends for different accelerators on an open source project, building on demand infrastructure for other infrastructure heavy fellows projects, and building complex synthetic data or environment pipelines.</p>\n<p>To participate in the Fellows program, you must have work authorization in the US, UK, or Canada and be located in that country during the program. Workspace locations are in London and Berkeley, and we are open to remote fellows in the UK, US, or Canada.</p>\n<p>We do not guarantee that we will make any full-time offers to fellows. However, strong performance during the program may indicate that a Fellow would be a good fit for full-time roles at Anthropic. In previous cohorts, 25-50% of fellows received a full-time offer, and we’ve supported many more to go on to do great work on AI safety and security at other organisations.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_b47fc91b-597","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5183051008","x-work-arrangement":"remote","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python programming","Software engineering","Complex ML systems","Distributed systems","High-performance computing","Training, fine-tuning, or evaluating large language models","Analyzing and debugging model training processes"],"x-skills-preferred":["Experience with training, fine-tuning, or evaluating large language models","Adept at analyzing and debugging model training processes","Strong background in a discipline relevant to a specific Fellows workstream","Experience in areas of research or engineering related to their workstream"],"datePosted":"2026-04-18T15:34:47.218Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python programming, Software engineering, Complex ML systems, Distributed systems, High-performance computing, Training, fine-tuning, or evaluating large language models, Analyzing and debugging model training processes, Experience with training, fine-tuning, or evaluating large language models, Adept at analyzing and debugging model training processes, Strong background in a discipline relevant to a specific Fellows workstream, Experience in areas of research or engineering related to their workstream"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_61e08612-10d"},"title":"Data Center Operations Technician","description":"<p>As a Data Center Operations Technician at xAI, you will be responsible for the health of our server and network infrastructure for Data Centers and Global Points of Presence. You will be responsible for our two most important data center operations metrics: mean time to detect (MTTD) and mean time to repair (MTTR).</p>\n<p>Your primary responsibilities will include:</p>\n<ul>\n<li>Reporting to the job site during initial construction and reporting back to the engineering team as required.</li>\n<li>Performing troubleshooting and monitoring of the servers and network in our data centers and global points of presence.</li>\n<li>Rack and stacking of data center network equipment.</li>\n<li>Maintaining Warehouse inventory and asset management using our internal application.</li>\n<li>Labelling and troubleshooting for fibre/optics cables.</li>\n<li>Power supply cabling, installation, troubleshooting and repair.</li>\n<li>Installation of racks, servers and switches; this includes staging racks in place, cabling, power up and handoff of hardware to the provisioning team for customer capacity allocation.</li>\n<li>Managing, responding and resolving of data center operations tickets used cross functionally within xAI via Jira.</li>\n<li>Creating and maintaining documentation of tasks and standard operating procedures.</li>\n<li>Receipt and decommissioning of data center hardware.</li>\n<li>Vendor returns for infrastructure under and out of warranty.</li>\n<li>Managing spare parts inventory within the data center.</li>\n<li>Defining, designing, and implementing network layouts and solutions within our data centers.</li>\n</ul>\n<p>To be successful in this role, you will need:</p>\n<ul>\n<li>A high school diploma or equivalency certificate.</li>\n<li>2+ years of experience working with server, storage, compute and network hardware.</li>\n<li>2+ years of experience troubleshooting and repairing servers and networking infrastructure.</li>\n<li>2+ years of experience in Inventory Management, and ordering, receiving and shipping server and network equipment.</li>\n<li>Strong Linux skills, including navigating the system&#39;s directories and filing system, manipulating files in the Linux shell, user permission configuration, package installation and software management.</li>\n<li>Ability to identify and apply different filesystem types, using Linux commands for process management, basic troubleshooting and debugging, and Bash or other scripting.</li>\n<li>Experience being on-call and ability to respond to critical events as needed.</li>\n<li>Experience leading Data Center Infrastructure projects.</li>\n<li>Curious to always learn new things within the Data Center World.</li>\n<li>Excellent prioritization and time management skills.</li>\n<li>Able to work in a fast-paced environment.</li>\n<li>Detail-oriented.</li>\n<li>Oracle Experience.</li>\n<li>Inventory Management.</li>\n<li>4+ years of experience in Structured Cabling Copper/Fibre.</li>\n<li>4+ years of experience in Power and Cooling concepts inside the data center.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_61e08612-10d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"xAI","sameAs":"https://www.xai.com/","logo":"https://logos.yubhub.co/xai.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/xai/jobs/4741579007","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Linux","Server Hardware","Network Hardware","Inventory Management","Troubleshooting","Debugging","Scripting","Oracle Experience","Structured Cabling Copper/Fibre","Power and Cooling Concepts"],"x-skills-preferred":["Strong Linux skills","Experience leading Data Center Infrastructure projects","Curious to always learn new things within the Data Center World","Excellent prioritization and time management skills","Able to work in a fast-paced environment","Detail-oriented"],"datePosted":"2026-04-18T15:34:28.202Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Memphis, TN; Southaven, MS"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Linux, Server Hardware, Network Hardware, Inventory Management, Troubleshooting, Debugging, Scripting, Oracle Experience, Structured Cabling Copper/Fibre, Power and Cooling Concepts, Strong Linux skills, Experience leading Data Center Infrastructure projects, Curious to always learn new things within the Data Center World, Excellent prioritization and time management skills, Able to work in a fast-paced environment, Detail-oriented"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_655da07a-ab6"},"title":"AI Tutor - Software Engineering Specialist","description":"<p>We&#39;re seeking an experienced software engineer to join our team as an AI tutor. As a tutor, you will contribute to AI model training initiatives by curating code examples, offering precise solutions, and providing meticulous corrections in specialized programming languages.</p>\n<p>Your responsibilities will include evaluating and refining AI-generated code, ensuring it adheres to industry standards for efficiency, scalability, and reliability. You will also collaborate with cross-functional teams to enhance AI-driven coding solutions, ensuring they meet enterprise-level quality and performance benchmarks.</p>\n<p>To succeed in this role, you will need professional software engineering experience building scalable, high-performance applications. You should have deep expertise in one or more programming languages, strong proficiency in relevant frameworks and libraries, and a solid understanding of software design principles, performance optimization, and best practices.</p>\n<p>As a detail-oriented and adaptable individual, you will thrive in a fast-paced work environment and possess strong logical reasoning skills. Experience integrating analytics, monitoring, and security best practices relevant to your technical domain is a plus. Containerization technologies, such as Docker, and knowledge of complementary technologies, such as backend systems, APIs, databases, and authentication, are also desirable.</p>\n<p>This role may be offered as a full-time, part-time, or contractor position, depending on role needs and candidate fit. As a contractor, you will have the flexibility to set your own hours and determine the exact amount of time needed to complete deliverables. You will be working remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.</p>\n<p>US-based candidates will be compensated between $60/hour and $100/hour, depending on factors including relevant experience, skills, education, geographic location, and qualifications. 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The role requires strong algorithmic thinking, deep familiarity with airborne sensing systems, and the ability to deliver performant software in simulation and real-world conditions.</p>\n<p>Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Perception Engineers are instrumental in creating the situational awareness that underpins autonomy, ensuring our systems understand and respond to the operational environment with speed, precision, and resilience.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Lead teams across autonomy, integration, and testing by aligning technical efforts, resolving cross-functional challenges, and driving mission-focused execution.</li>\n<li>Develop advanced perception algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities.</li>\n<li>Implement sensor fusion frameworks by integrating data from vision systems, radars, and other mission sensors using probabilistic and deterministic fusion techniques.</li>\n<li>Develop state estimation capabilities by designing and refining algorithms for localization and pose estimation using IMU, GPS, vision, and other onboard sensing inputs.</li>\n<li>Analyze and utilize sensor ICDs to ensure correct data handling, interpretation, and synchronization.</li>\n<li>Optimize perception performance by tuning and evaluating perception pipelines for performance, robustness, and real-time efficiency in both simulation and real-world environments.</li>\n<li>Support autonomy integration by working closely with autonomy, systems, and integration teams to interface perception outputs with planning, behaviors, and decision-making modules.</li>\n<li>Validate in simulated and operational settings by leveraging synthetic data, simulation environments, and field testing to validate algorithm accuracy and mission readiness.</li>\n<li>Collaborate with hardware and sensor teams to ensure seamless integration of perception algorithms with onboard compute platforms and diverse sensor payloads.</li>\n<li>Drive innovation in airborne sensing by contributing novel ideas and state-of-the-art techniques to advance real-time perception capabilities for unmanned aircraft operating in complex, GPS-denied, or contested environments.</li>\n<li>Travel Requirement – Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience.</li>\n<li>Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience.</li>\n<li>7+ years of experience in Unmanned Systems programs in the DoD or applied R&amp;D.</li>\n<li>2+ years of people leadership experience.</li>\n<li>Background in implementing algorithms such as Kalman Filters, multi-target tracking, or deep learning-based detection models.</li>\n<li>Familiarity with fusing data from radar, EO/IR cameras, or other sensors using probabilistic or rule-based approaches.</li>\n<li>Familiarity with SLAM, visual-inertial odometry, or sensor-fused localization approaches in real-time applications.</li>\n<li>Ability to interpret and work with Interface Control Documents (ICDs) and hardware integration specs.</li>\n<li>Proficiency with version control, debugging, and test-driven development in cross-functional teams.</li>\n<li>Ability to obtain a SECRET clearance.</li>\n</ul>\n<p><strong>Preferences:</strong></p>\n<ul>\n<li>Hands-on integration or algorithm development with airborne sensing systems.</li>\n<li>Experience with ML frameworks such as PyTorch or Tensorflow, particularly for vision-based object detection or classification tasks.</li>\n<li>Experience deploying perception software on SWaP-constrained platforms.</li>\n<li>Familiarity with validating perception systems during flight test events or operational environments.</li>\n<li>Understanding of sensing challenges in denied or degraded conditions.</li>\n<li>Exposure to perception applications across air, maritime, and ground platforms.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_1044b51e-cc6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Shield AI","sameAs":"https://www.shield.ai","logo":"https://logos.yubhub.co/shield.ai.png"},"x-apply-url":"https://jobs.lever.co/shieldai/cebc0dd3-ffbf-4013-a2ad-ae32732cabd3","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$229,233 - 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We own the commit-to-flight pipeline,deterministic aircraft and mission simulation, HITL/SITL integration, CI/CD, and tooling for automated flight qualification testing. As a Senior Modeling &amp; Simulation Engineer, you will be dedicated to Shield AI&#39;s next-generation aircraft program, contributing to our modeling and simulation tooling pipeline. You&#39;ll design, build, and scale novel aircraft subsystem models, develop infrastructure that enables automated testing for our XBAT product line, and perform verification and validation of simulation pipelines. You will also conduct system performance analysis to evaluate expected and actual flight and mission performance using simulation tools and publish results for consumption by customers.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Develop models and infrastructure for the integrated simulation pipeline in C++.</li>\n<li>Design deterministic, high-performance simulation tools capable of faster-than-real-time execution for development, testing, and release.</li>\n<li>Implement test scenarios and write unit, system, and regression tests.</li>\n<li>Collaborate across autonomy, embedded, GNC, and test engineering to ensure the simulation mirrors real aircraft behavior and mission scenarios.</li>\n<li>Contribute to platform-agnostic simulation tooling to accelerate future development efforts</li>\n<li>Perform verification and validation (V&amp;V) analysis activities on model tools.</li>\n<li>Conduct system performance analysis and generate reports and visualizations.</li>\n<li>Utilize best practices in C++, simulation architecture, and performance engineering.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_85118c18-c44","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Shield AI","sameAs":"http://bit.ly/shieldai_lever_homepage","logo":"https://logos.yubhub.co/bit.ly.png"},"x-apply-url":"https://jobs.lever.co/shieldai/f38c09b5-ce0f-4b87-ae4f-319cc9e26d5d","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$105,000 - $155,000 a year","x-skills-required":["C++","modern C++ (C++17 or later)","performance optimization","rigid-body dynamics","kinematics","basic flight and sensor mechanics","software development","simulation systems","robotics","aerospace","autonomous systems","debugging","build and runtime environments","CMake","CPM","package management","logging","profiling tools","software testing tools","GTest"],"x-skills-preferred":["real-time and deterministic software design","multi-threading","synchronization","memory management","DevOps-integrated simulation workflows","CI/CD","automated hardware testing environments","Python","data analysis","test automation","simulation orchestration","aircraft and flight physics modeling"],"datePosted":"2026-04-17T13:04:14.088Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas, Texas / San Diego, California / Boston, MA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C++, modern C++ (C++17 or later), performance optimization, rigid-body dynamics, kinematics, basic flight and sensor mechanics, software development, simulation systems, robotics, aerospace, autonomous systems, debugging, build and runtime environments, CMake, CPM, package management, logging, profiling tools, software testing tools, GTest, real-time and deterministic software design, multi-threading, synchronization, memory management, DevOps-integrated simulation workflows, CI/CD, automated hardware testing environments, Python, data analysis, test automation, simulation orchestration, aircraft and flight physics modeling","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":105000,"maxValue":155000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cf0f0a5c-064"},"title":"Power Electronics - Staff Electrical Engineer","description":"<p>Shield AI is redefining autonomous aviation with cutting-edge AI and GPS/RF-denied navigation technologies. We&#39;re building a next-generation aircraft XBAT like no other,one that will push the boundaries of innovation and performance.</p>\n<p>We&#39;re looking for a Staff Power Engineer to provide technical leadership in the design, development, and delivery of high-performance power systems across our aircraft programs. This is a high-ownership role where you will define architectures, mentor junior engineers, and ensure that our power electronics meet the rigorous demands of autonomous aviation.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Owning flight critical power sub-system design for X-BAT</li>\n<li>Designing power electronics for high voltage and low voltage systems, including inverters, DC-DC converters, battery management, and other power electronics</li>\n<li>Hardening designs for harsh environments such as shock/vibe, high reliability, radiation, and high-altitude</li>\n<li>Working on power sub-systems and designs for both low power (&lt; kW) and high power (&gt;10 kW)</li>\n<li>Full-cycle hardware development, including concept, modeling, worst case analysis, schematic capture, simulation, prototyping, design reiteration for improving design maturity, testing and validation</li>\n<li>PCB ownership, driving PCB layout and design with ECAD engineers, optimizing for power density, EMI, thermal, and manufacturability</li>\n<li>Designing for Safety, Manufacturability and Reliability, keeping in mind best practices for safety, manufacturing and reliability</li>\n<li>Board Bring Up and Testing, executing board bring up, verification, validation and HALT testing to meet rigorous aerospace reliability standards</li>\n<li>Cross-functional collaboration, working closely with Mechanical, CAD, Embedded, Software, Supply Chain, Test Automation, Production and various aircraft teams throughout the product lifecycle</li>\n<li>Design review leadership, leading and contributing to cross-functional reviews ensuring robust, high-integrity engineering decisions. Mentoring junior engineers that support your design</li>\n<li>Program execution, managing project timelines, deliverables, and technical milestones to drive on-time, high-quality outcomes</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_cf0f0a5c-064","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Shield AI","sameAs":"https://www.shield.ai","logo":"https://logos.yubhub.co/shield.ai.png"},"x-apply-url":"https://jobs.lever.co/shieldai/be0a4dc7-d2ca-428b-91ef-516012965b5f","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$150,130 - $225,196 a year","x-skills-required":["circuit design","schematic capture","component selection","circuit testing","debugging","Altium"],"x-skills-preferred":[],"datePosted":"2026-04-17T13:04:04.539Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas, Texas / Boston, MA / San Diego, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"circuit design, schematic capture, component selection, circuit testing, debugging, Altium","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":150130,"maxValue":225196,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_61537c5a-fe8"},"title":"Senior Engineer, Mission Systems (Avionics & Sensor Integration)","description":"<p>As a Senior Mission Systems Engineer, you will lead the hands-on integration of avionics, sensors, and mission payloads onto the V-BAT and our next-generation aircraft.</p>\n<p>We&#39;re looking for engineers with a strong mix of hardware and software experience,people who can move fluidly from system architecture to real-time troubleshooting.</p>\n<p>Ideal candidates have hands-on experience taking complex hardware–software systems from 0→1, understanding what truly matters to end users, and delivering reliable capabilities into real-world field use.</p>\n<p>In this role, you will be an extreme owner,leading the specification, design, integration, flight testing, and validation of mission and avionics systems that expand the capabilities of our aircraft.</p>\n<p>You&#39;ll work closely with electrical, mechanical, software, and flight test teams in both the lab and the field, owning the full product lifecycle of payload systems from concept through to deployment.</p>\n<p>Help us save lives as we strive to deliver the most highly reliable aerospace hardware in the industry.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Architect, design, integrate, and validate avionics and mission sensors and payloads for V-BAT ,from concept through production &amp; deployment</li>\n</ul>\n<ul>\n<li>Work directly with operators, mission SMEs, and internal stakeholders to understand user needs and prioritize system features and capabilities.</li>\n</ul>\n<ul>\n<li>Drive 0→1 development: take loosely defined mission problems, propose solutions, prototype quickly, iterate with flight test data, and mature systems into production-ready capabilities.</li>\n</ul>\n<ul>\n<li>Lead cross functional development: mechanical &amp; electrical design, firmware/embedded interfaces, data paths, networking, and onboard software integration.</li>\n</ul>\n<ul>\n<li>Debug and root-cause complex hardware, software, and integration failures throughout development and flight operations.</li>\n</ul>\n<ul>\n<li>Lead hands-on bring-up, lab testing, HIL testing, and flight test preparation.</li>\n</ul>\n<ul>\n<li>Support flight operations with real-time troubleshooting, anomaly resolution, and post-mission data analysis.</li>\n</ul>\n<ul>\n<li>Use Python, MATLAB, or similar tools to analyze logs, automate tests, and drive informed design decisions.</li>\n</ul>\n<ul>\n<li>Collaborate with Mechanical, Electrical, Software, Flight Test, and Manufacturing to deliver reliable and maintainable avionics systems.</li>\n</ul>\n<ul>\n<li>Drive continuous design improvement to increase reliability, robustness, and mission performance.</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>B.S. in Electrical Engineering or related STEM field.</li>\n</ul>\n<ul>\n<li>3+ years engineering experience with electrical system design, integration, testing, debug, and repair</li>\n</ul>\n<ul>\n<li>Hands-on experience with test equipment, schematics, harness/wiring diagrams, and HW/SW debugging.</li>\n</ul>\n<ul>\n<li>Experience working on multidisciplinary hardware development projects, which can be from an internship, job, club, team, personal project, etc…</li>\n</ul>\n<ul>\n<li>Demonstrated history of showing ownership of project outcomes and delivering exceptional results.</li>\n</ul>\n<ul>\n<li>Record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others.</li>\n</ul>\n<p><strong>Preferences:</strong></p>\n<ul>\n<li>Experience integrating avionics, sensors, radios, mission payloads, or flight computing systems.</li>\n</ul>\n<ul>\n<li>Experience with flight test, field testing, or hardware-in-the-loop development.</li>\n</ul>\n<ul>\n<li>Experience with Python or any scripting language.</li>\n</ul>\n<ul>\n<li>Active Secret Security Clearance (or ability to obtain one if needed)</li>\n</ul>\n<ul>\n<li>Demonstrated adaptability, agility, and the ability to innovate under pressure to meet dynamic project demands and drive successful outcomes.</li>\n</ul>\n<ul>\n<li>Demonstrated experience taking a hardware + software product or feature from concept (0) to deployed system (1).</li>\n</ul>\n<p><strong>Salary:</strong></p>\n<p>$115,527 - $173,291 a year</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_61537c5a-fe8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Shield AI","sameAs":"https://www.shield.ai","logo":"https://logos.yubhub.co/shield.ai.png"},"x-apply-url":"https://jobs.lever.co/shieldai/4eee4290-8519-4b1b-8010-84373fcd1e5f","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$115,527 - $173,291 a year","x-skills-required":["Electrical Engineering","Hardware Design","Software Development","Test Equipment","Schematics","Harness/Wiring Diagrams","HW/SW Debugging"],"x-skills-preferred":["Avionics Integration","Sensor Integration","Radio Integration","Mission Payload Integration","Flight Computing Systems","Python","Scripting Language"],"datePosted":"2026-04-17T13:04:01.062Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Electrical Engineering, Hardware Design, Software Development, Test Equipment, Schematics, Harness/Wiring Diagrams, HW/SW Debugging, Avionics Integration, Sensor Integration, Radio Integration, Mission Payload Integration, Flight Computing Systems, Python, Scripting Language","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":115527,"maxValue":173291,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6a67b196-237"},"title":"Ground Control Station (GCS) Software Engineer","description":"<p>We&#39;re looking for a Software Engineer to join our team developing next-generation Ground Control Station (GCS) applications for unmanned aerial systems (UAS). This role is ideal for engineers with a strong foundation in real-time, performance-sensitive software who also bring experience with modern web technologies.</p>\n<p>You&#39;ll work on mission-critical software that bridges responsive user interfaces with robust backend systems, enabling human operators to plan, command, and monitor autonomous assets with precision and reliability.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Design, develop, and optimize ground control software that enables low-latency communication with UAVs and other autonomous platforms.</li>\n</ul>\n<ul>\n<li>Build high-performance client and server applications that support telemetry processing, mission planning, and real-time control.</li>\n</ul>\n<ul>\n<li>Implement responsive user interfaces with React and TypeScript for operator workflows and visualization of spatial data, sensor feeds, and mission state.</li>\n</ul>\n<ul>\n<li>Collaborate closely with teams across autonomy, embedded systems, backend, and UX to deliver integrated, field-ready solutions.</li>\n</ul>\n<ul>\n<li>Contribute to architectural decisions and system designs that ensure responsiveness, scalability, and fault-tolerance.</li>\n</ul>\n<ul>\n<li>Lead development efforts on key features or subsystems, from early design through deployment and iteration.</li>\n</ul>\n<ul>\n<li>Write high-quality, well-tested code and participate in peer design/code reviews.</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>Senior: Bachelor&#39;s degree with 5+ years of relevant experience, or Masters with 4+ years, or PhD with 2+ years.</li>\n</ul>\n<ul>\n<li>Staff: Bachelor&#39;s degree with 7+ years of relevant experience, or Masters with 6+ years, or PhD with 4+ years.</li>\n</ul>\n<ul>\n<li>Senior Staff: Bachelor&#39;s degree with 10+ years of relevant experience, or Masters with 9+ years, or PhD with 7+ years.</li>\n</ul>\n<ul>\n<li>Demonstrated experience building real-time or performance-sensitive applications,preferably for UAVs, robotics, autonomous vehicles, or simulation environments.</li>\n</ul>\n<ul>\n<li>Proficiency in a strongly typed programming language (e.g. C#, TypeScript, Java, C++) with exposure to lower-level systems or protocol integration.</li>\n</ul>\n<ul>\n<li>Experience with web technologies, especially React, TypeScript/JavaScript, and Node.js.</li>\n</ul>\n<ul>\n<li>Strong software engineering fundamentals including version control, testing, debugging, and performance profiling.</li>\n</ul>\n<ul>\n<li>Proven ability to deliver high-quality software as part of a collaborative engineering team.</li>\n</ul>\n<p><strong>Preferences:</strong></p>\n<ul>\n<li>Experience with GCS software, mission planning tools, or real-time visualization platforms.</li>\n</ul>\n<ul>\n<li>Familiarity with API-driven systems using REST or gRPC, and communication protocols like WebSocket or custom telemetry formats.</li>\n</ul>\n<ul>\n<li>Knowledge of standards such as STANAG 4586, Cursor on Target (CoT), or MAVLink.</li>\n</ul>\n<ul>\n<li>Familiarity with containerized environments (e.g., Docker, Kubernetes) and CI/CD practices.</li>\n</ul>\n<ul>\n<li>Exposure to distributed systems and cloud integration for telemetry data pipelines.</li>\n</ul>\n<ul>\n<li>Understanding of security best practices in control systems and networked applications.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_6a67b196-237","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Shield AI","sameAs":"https://www.shield.ai","logo":"https://logos.yubhub.co/shield.ai.png"},"x-apply-url":"https://jobs.lever.co/shieldai/cf148e69-2ca0-4bfd-a4cc-af214bfcce8a","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$130,000 - 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Perception","description":"<p>This position is ideal for an individual who thrives on building advanced perception systems that enable autonomous aircraft to operate effectively in complex and contested environments.</p>\n<p>A successful candidate will be skilled in developing real-time object detection, sensor fusion, and state estimation algorithms using data from diverse mission sensors such as EO/IR cameras, radars, and IMUs.\nThe role requires strong algorithmic thinking, deep familiarity with airborne sensing systems, and the ability to deliver performant software in simulation and real-world conditions.</p>\n<p>Develop advanced perception algorithms , Design and implement robust algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities.\nImplement sensor fusion frameworks , Integrate data from vision systems, radars, and other mission sensors using probabilistic and deterministic fusion techniques to generate accurate situational awareness.\nDevelop state estimation capabilities , Design and refine algorithms for localization and pose estimation using IMU, GPS, vision, and other onboard sensing inputs to enable stable and accurate navigation.\nAnalyze and utilize sensor ICDs , Interpret interface control documents (ICDs) and technical specifications for aircraft-mounted sensors to ensure correct data handling, interpretation, and synchronization.\nOptimize perception performance , Tune and evaluate perception pipelines for performance, robustness, and real-time efficiency in both simulation and real-world environments.\nSupport autonomy integration , Work closely with autonomy, systems, and integration teams to interface perception outputs with planning, behaviors, and decision-making modules.\nValidate in simulated and operational settings , Leverage synthetic data, simulation environments, and field testing to validate algorithm accuracy and mission readiness.\nCollaborate with hardware and sensor teams , Ensure seamless integration of perception algorithms with onboard compute platforms and diverse sensor payloads.\nDrive innovation in airborne sensing , Contribute novel ideas and state-of-the-art techniques to advance real-time perception capabilities for unmanned aircraft operating in complex, GPS-denied, or contested environments.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_841c78ea-841","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Shield AI","sameAs":"https://www.shield.ai","logo":"https://logos.yubhub.co/shield.ai.png"},"x-apply-url":"https://jobs.lever.co/shieldai/d6f1d906-5c1e-4640-87f3-3e31e1b45fa6","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$160,000 - $240,000 a year","x-skills-required":["BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience","Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 4 years and a Master’s degree; or 2 years with a PhD; or equivalent work experience","Background in implementing algorithms such as Kalman Filters, multi-target tracking, or deep learning-based detection models","Familiarity with fusing data from radar, EO/IR cameras, or other sensors using probabilistic or rule-based approaches","Familiarity with SLAM, visual-inertial odometry, or sensor-fused localization approaches in real-time applications","Ability to interpret and work with Interface Control Documents (ICDs) and hardware integration specs","Proficiency with version control, debugging, and test-driven development in cross-functional teams","Ability to obtain a SECRET clearance"],"x-skills-preferred":["Hands-on integration or algorithm development with airborne sensing systems","Experience with ML frameworks such as PyTorch or Tensorflow, particularly for vision-based object detection or classification tasks","Experience deploying perception software on SWaP-constrained platforms","Familiarity with validating perception systems during flight test events or operational environments","Understanding of sensing challenges in denied or degraded conditions","Exposure to perception applications across air, maritime, and ground platforms"],"datePosted":"2026-04-17T13:03:46.950Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Diego, California / Washington, DC / Boston, MA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience, Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 4 years and a Master’s degree; or 2 years with a PhD; or equivalent work experience, Background in implementing algorithms such as Kalman Filters, multi-target tracking, or deep learning-based detection models, Familiarity with fusing data from radar, EO/IR cameras, or other sensors using probabilistic or rule-based approaches, Familiarity with SLAM, visual-inertial odometry, or sensor-fused localization approaches in real-time applications, Ability to interpret and work with Interface Control Documents (ICDs) and hardware integration specs, Proficiency with version control, debugging, and test-driven development in cross-functional teams, Ability to obtain a SECRET clearance, Hands-on integration or algorithm development with airborne sensing systems, Experience with ML frameworks such as PyTorch or Tensorflow, particularly for vision-based object detection or classification tasks, Experience deploying perception software on SWaP-constrained platforms, Familiarity with validating perception systems during flight test events or operational environments, Understanding of sensing challenges in denied or degraded conditions, Exposure to perception applications across air, maritime, and ground platforms","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":160000,"maxValue":240000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5f911dd8-860"},"title":"Senior Staff Engineer, Software - 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The role requires strong algorithmic thinking, deep familiarity with airborne sensing systems, and the ability to deliver performant software in simulation and real-world conditions.</p>\n<p>Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Perception Engineers are instrumental in creating the situational awareness that underpins autonomy, ensuring our systems understand and respond to the operational environment with speed, precision, and resilience.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Develop advanced perception algorithms , Design and implement robust algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities.</li>\n<li>Implement sensor fusion frameworks , Integrate data from vision systems, radars, and other mission sensors using probabilistic and deterministic fusion techniques to generate accurate situational awareness.</li>\n<li>Develop state estimation capabilities , Design and refine algorithms for localization and pose estimation using IMU, GPS, vision, and other onboard sensing inputs to enable stable and accurate navigation.</li>\n<li>Analyze and utilize sensor ICDs , Interpret interface control documents (ICDs) and technical specifications for aircraft-mounted sensors to ensure correct data handling, interpretation, and synchronization.</li>\n<li>Optimize perception performance , Tune and evaluate perception pipelines for performance, robustness, and real-time efficiency in both simulation and real-world environments.</li>\n<li>Support autonomy integration , Work closely with autonomy, systems, and integration teams to interface perception outputs with planning, behaviors, and decision-making modules.</li>\n<li>Validate in simulated and operational settings , Leverage synthetic data, simulation environments, and field testing to validate algorithm accuracy and mission readiness.</li>\n<li>Collaborate with hardware and sensor teams , Ensure seamless integration of perception algorithms with onboard compute platforms and diverse sensor payloads.</li>\n<li>Drive innovation in airborne sensing , Contribute novel ideas and state-of-the-art techniques to advance real-time perception capabilities for unmanned aircraft operating in complex, GPS-denied, or contested environments.</li>\n<li>Travel Requirement , Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience</li>\n<li>Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; 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As a Staff Engineer, Software - Autonomous Aircraft Integration, you will be skilled at deploying autonomy solutions onto unmanned platforms, preparing systems for flight, and troubleshooting mission-critical issues in both lab and field environments.</p>\n<p>Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Flight Integration Engineers are essential to bridging the gap between R&amp;D and deployment, ensuring that autonomous systems function reliably and effectively when and where they are needed most.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li><strong>System Integration &amp; Deployment</strong> , Integrate autonomy software onto unmanned aircraft systems, ensuring seamless operation across onboard compute, sensors, and control interfaces.</li>\n</ul>\n<ul>\n<li><strong>Pre-flight Preparation</strong> , Own the build, configuration, and validation process for flight-ready systems; coordinate hardware/software compatibility and mission readiness.</li>\n</ul>\n<ul>\n<li><strong>On-site Flight Test Support</strong> , Travel to test sites and support live flight operations, including safety checks, system bring-up, and troubleshooting under time-critical constraints.</li>\n</ul>\n<ul>\n<li><strong>Hardware/Software Debugging</strong> , Diagnose and resolve integration issues across complex autonomy software stacks and embedded systems in lab and field environments.</li>\n</ul>\n<ul>\n<li><strong>Flight Data Capture &amp; Analysis</strong> , Manage data collection during missions and post-test analysis, working with autonomy engineers to refine behaviours and identify improvements.</li>\n</ul>\n<ul>\n<li><strong>Collaboration Across Teams</strong> , Work closely with autonomy, GNC, systems, and test teams to ensure mission-critical functionality is delivered on time and validated thoroughly.</li>\n</ul>\n<ul>\n<li><strong>Continuous Improvement</strong> , Build tools and processes to improve integration timelines, flight test reliability, and team efficiency across deployment cycles.</li>\n</ul>\n<ul>\n<li><strong>Support Certification and Compliance</strong> , Assist with documentation and system-level validation required for certification, airworthiness, and compliance in defense-relevant environments.</li>\n</ul>\n<ul>\n<li><strong>Travel Requirement</strong>– Members of this team typically travel around 30-40% of the year (to different office locations, customer sites, and flight integration events).</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience</li>\n</ul>\n<ul>\n<li>Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience</li>\n</ul>\n<ul>\n<li>Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)</li>\n</ul>\n<ul>\n<li>Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics</li>\n</ul>\n<ul>\n<li>Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS)</li>\n</ul>\n<ul>\n<li>Hands-on experience supporting flight demos or live exercises</li>\n</ul>\n<ul>\n<li>Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation</li>\n</ul>\n<ul>\n<li>Strong problem-solving skills, with the ability to troubleshoot and optimize system performance</li>\n</ul>\n<ul>\n<li>Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment</li>\n</ul>\n<ul>\n<li>Ability to obtain a SECRET clearance</li>\n</ul>\n<p><strong>Preferred Qualifications:</strong></p>\n<ul>\n<li>Direct experience supporting unmanned aerial systems or similar flight test campaigns</li>\n</ul>\n<ul>\n<li>Familiarity with autonomy stacks, flight control systems, or GNC pipelines</li>\n</ul>\n<ul>\n<li>Competence in sensor integration, electronics debugging, or avionics bring-up</li>\n</ul>\n<ul>\n<li>Proficiency in developing automation tools for system testing, logging, and data parsing</li>\n</ul>\n<ul>\n<li>Comfortable interfacing with DoD stakeholders during field events or technical reviews</li>\n</ul>\n<ul>\n<li>Experience with UCI and OMS Standards</li>\n</ul>\n<p>$182,720 - $274,080 a year</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c174eeee-910","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Shield AI","sameAs":"https://www.shield.ai","logo":"https://logos.yubhub.co/shield.ai.png"},"x-apply-url":"https://jobs.lever.co/shieldai/6265ee65-8136-41b5-9279-97f9a4b1d2f6","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$182,720 - $274,080 a year","x-skills-required":["C++","Python","Real-time operating systems (RTOS)","Linux-based development","Embedded systems","Shell scripting","System diagnostics","Sensor integration","Sensor fusion","Middleware frameworks (e.g., ROS, DDS)","Simulation tools and environments (e.g., AFSIM, NGTS)"],"x-skills-preferred":["Direct experience supporting unmanned aerial systems or similar flight test campaigns","Familiarity with autonomy stacks, flight control systems, or GNC pipelines","Competence in sensor integration, electronics debugging, or avionics bring-up","Proficiency in developing automation tools for system testing, logging, and data parsing","Comfortable interfacing with DoD stakeholders during field events or technical reviews","Experience with UCI and OMS Standards"],"datePosted":"2026-04-17T13:03:18.853Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington, DC / Boston, MA / San Diego, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C++, Python, Real-time operating systems (RTOS), Linux-based development, Embedded systems, Shell scripting, System diagnostics, Sensor integration, Sensor fusion, Middleware frameworks (e.g., ROS, DDS), Simulation tools and environments (e.g., AFSIM, NGTS), Direct experience supporting unmanned aerial systems or similar flight test campaigns, Familiarity with autonomy stacks, flight control systems, or GNC pipelines, Competence in sensor integration, electronics debugging, or avionics bring-up, Proficiency in developing automation tools for system testing, logging, and data parsing, Comfortable interfacing with DoD stakeholders during field events or technical reviews, Experience with UCI and OMS Standards","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":182720,"maxValue":274080,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3443c694-99e"},"title":"Engineer II, Mission Systems (Avionics & Sensor Integration)","description":"<p>Shield AI&#39;s mission is to protect the lives of service members and civilians with intelligent systems.</p>\n<p>As a Mission Systems Engineer II, you will support the hands-on integration of avionics, sensors, and mission payloads onto the V-BAT and our next-generation aircraft. We&#39;re looking for engineers with a strong mix of hardware and software experience,people who can move fluidly from hardware and software integration and system bring-up to real-time troubleshooting.</p>\n<p>Ideal candidates have hands-on experience taking hardware–software systems from 0→1, understanding what truly matters to end users, and delivering reliable capabilities into real-world field use.</p>\n<p>In this role, you will contribute to the specification, integration, testing, and validation of mission and avionics systems that expand the capabilities of our aircraft. You&#39;ll work closely with electrical, mechanical, software, and flight test teams in both the lab and the field, supporting the development lifecycle of payload systems from concept through deployment.</p>\n<p>Help us save lives as we strive to deliver the most highly reliable aerospace hardware in the industry.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Support the design, integration, and validation of avionics and mission sensors and payloads for V-BAT ,from concept through production &amp; deployment</li>\n<li>Collaborate with operators, mission SMEs, and internal stakeholders to understand user needs and prioritize system features and capabilities.</li>\n<li>Support and drive 0→1 development: take loosely defined mission problems, propose solutions, prototype quickly, iterate with flight test data, and mature systems into production-ready capabilities.</li>\n<li>Work with cross-functional development: mechanical &amp; electrical design, firmware/embedded interfaces, data paths, networking, and onboard software integration.</li>\n<li>Assist in debugging and root-cause complex hardware, software, and integration failures throughout development and flight operations.</li>\n<li>Conduct hands-on bring-up, lab testing, HIL testing, and flight test preparation.</li>\n<li>Support flight operations with real-time troubleshooting, anomaly resolution, and post-mission data analysis.</li>\n<li>Use Python, MATLAB, or similar tools to analyze logs, automate tests, and drive informed design decisions.</li>\n<li>Collaborate with Mechanical, Electrical, Software, Flight Test, and Manufacturing to deliver reliable and maintainable avionics systems.</li>\n<li>Contribute to continuous design improvement to increase reliability, robustness, and mission performance.</li>\n</ul>\n<p>Required Qualifications:</p>\n<ul>\n<li>B.S. in Electrical Engineering or related STEM field.</li>\n<li>2-5 years engineering experience with electrical system design, integration, testing, debug, and repair</li>\n<li>Hands-on experience with test equipment, schematics, harness/wiring diagrams, and HW/SW debugging.</li>\n<li>Experience working on multidisciplinary hardware development projects, which can be from an internship, job, club, team, personal project, etc…</li>\n<li>Demonstrated ability to take ownership of tasks and deliver reliable results within a multidisciplinary engineering team.</li>\n<li>Record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others.</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Experience integrating avionics, sensors, radios, mission payloads, or flight computing systems.</li>\n<li>Experience with flight test, field testing, or hardware-in-the-loop development.</li>\n<li>Experience with Python or any scripting language.</li>\n<li>Active Secret Security Clearance (or ability to obtain one if needed.</li>\n<li>Demonstrated adaptability, agility, and the ability to innovate under pressure to meet dynamic project demands and drive successful outcomes.</li>\n<li>Experience contributing to the development of a hardware + software system from concept through testing or deployment.</li>\n</ul>\n<p>Closing:</p>\n<p>#LI-MSII</p>\n<p>$91,660 - $137,490 a year</p>\n<p><strong>Closing from U.S. - with ITAR exposure</strong></p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_3443c694-99e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Shield AI","sameAs":"https://www.shield.ai","logo":"https://logos.yubhub.co/shield.ai.png"},"x-apply-url":"https://jobs.lever.co/shieldai/ff8711f1-0a9a-4d84-9916-46a194773cd7","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$91,660 - $137,490 a year","x-skills-required":["Electrical Engineering","Hardware Design","Software Development","Test Equipment","Schematics","Harness/Wiring Diagrams","HW/SW Debugging","Multidisciplinary Hardware Development Projects"],"x-skills-preferred":["Avionics","Sensor Integration","Flight Test","Field Testing","Hardware-in-the-Loop Development","Python","Scripting Language","Active Secret Security Clearance"],"datePosted":"2026-04-17T13:03:17.448Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Electrical Engineering, Hardware Design, Software Development, Test Equipment, Schematics, Harness/Wiring Diagrams, HW/SW Debugging, Multidisciplinary Hardware Development Projects, Avionics, Sensor Integration, Flight Test, Field Testing, Hardware-in-the-Loop Development, Python, Scripting Language, Active Secret Security Clearance","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":91660,"maxValue":137490,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_245fc3eb-ed7"},"title":"Senior Engineer, Systems Test","description":"<p>We&#39;re seeking a Senior Engineer to join our DC-based team. As a Senior Engineer, you&#39;ll focus on simulation-driven testing, automation, documentation, and software quality assurance for Hivemind autonomy. You&#39;ll build and execute comprehensive test frameworks and methodologies to ensure our autonomy stack performs reliably across simulated and real-world mission conditions.</p>\n<p>Shield AI is scaling and growing rapidly. The ideal candidate will demonstrate adaptability, a growth mindset, and a willingness to learn new technologies and methodologies quickly in a fast-paced, evolving environment. This is an opportunity to contribute to something truly remarkable,advancing autonomy that is changing the world,while thriving in a mission-driven, collaborative, and high-performance culture.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Develop automated regression, integration, and system-level tests to ensure Hivemind software quality and stability across releases.</li>\n<li>Identify, reproduce, and diagnose software issues,collaborating closely with development teams to drive fixes and improvements.</li>\n<li>Create and execute test plans and documentation for autonomy software in simulated environments, ensuring mission and safety requirements are met.</li>\n<li>Design, implement, and maintain simulation-based test frameworks to validate Hivemind autonomy behavior and performance.</li>\n<li>Build tools and utilities in Python to automate testing, data processing, and analysis workflows.</li>\n<li>Develop test harnesses and data validation tools for Software-in-the-Loop (SIL) / Hardware-in-the-Loop (HIL) / Vehicle-in-the-Loop (VIL) and simulation environments.</li>\n<li>Contribute to the definition of testing methodologies, metrics, and performance benchmarks for autonomy software validation.</li>\n<li>Support the scaling and reliability of simulation infrastructure used for large-scale software validation.</li>\n<li>Maintain detailed and accurate test documentation, ensuring traceability and knowledge sharing across teams.</li>\n<li>Work with developers to integrate test coverage directly into the development pipeline (CI/CD).</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Aerospace Engineering, or related technical field.</li>\n<li>3–5 years of experience in software integration, testing, or quality assurance, preferably in robotics, aerospace, or autonomous systems.</li>\n<li>Proficiency in Python for test automation, scripting, and data analysis.</li>\n<li>Experience with simulation environments (e.g., Gazebo, Unreal, or custom simulation frameworks) and test automation tools.</li>\n<li>Strong understanding of software testing principles, including integration, regression, and system-level validation.</li>\n<li>Familiarity with continuous integration (CI/CD) and test pipelines (e.g., GitLab CI, Jenkins).</li>\n<li>Excellent analytical, problem-solving, and debugging skills.</li>\n<li>Strong collaboration and communication skills with software and systems teams.</li>\n<li>Adaptability, growth mindset, and willingness to learn new technologies quickly in a fast-paced, scaling environment.</li>\n<li>Self-starter with a sense of urgency, motivation, and comfort operating in ambiguity.</li>\n<li>U.S. Citizenship and ability to obtain and maintain a SECRET clearance.</li>\n</ul>\n<p><strong>Preferences:</strong></p>\n<ul>\n<li>Experience testing autonomous systems, robotics software, or flight autonomy algorithms.</li>\n<li>Familiarity with C++ and software/hardware integration concepts.</li>\n<li>Experience with HIL or VIL test environments.</li>\n<li>Exposure to machine learning or AI-driven autonomy systems.</li>\n<li>Background in simulation infrastructure design, distributed testing, or test data management.</li>\n<li>Quality Assurance (QA) experience, including process definition, metrics, and validation tracking.</li>\n<li>Experience with aerospace, defense, or mission-critical software.</li>\n<li>Active SECRET clearance preferred.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_245fc3eb-ed7","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Shield AI","sameAs":"https://www.shield.ai","logo":"https://logos.yubhub.co/shield.ai.png"},"x-apply-url":"https://jobs.lever.co/shieldai/498f7d45-a951-45ad-aa7f-3f54bf3dd2bb","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$110,000 - $170,000 a year","x-skills-required":["Python","test automation","scripting","data analysis","simulation environments","test automation tools","software testing principles","continuous integration","test pipelines","analytical skills","problem-solving skills","debugging skills","collaboration skills","communication skills"],"x-skills-preferred":["autonomous systems","robotics software","flight autonomy algorithms","C++","software/hardware integration","HIL","VIL","machine learning","AI-driven autonomy systems","simulation infrastructure design","distributed testing","test data management","Quality Assurance","aerospace","defense","mission-critical software"],"datePosted":"2026-04-17T13:02:59.823Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington, DC / San Diego, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, test automation, scripting, data analysis, simulation environments, test automation tools, software testing principles, continuous integration, test pipelines, analytical skills, problem-solving skills, debugging skills, collaboration skills, communication skills, autonomous systems, robotics software, flight autonomy algorithms, C++, software/hardware integration, HIL, VIL, machine learning, AI-driven autonomy systems, simulation infrastructure design, distributed testing, test data management, Quality Assurance, aerospace, defense, mission-critical software","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":110000,"maxValue":170000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_bed4759c-578"},"title":"Staff Engineer, Software - Perception","description":"<p>This position is ideal for an individual who thrives on building advanced perception systems that enable autonomous aircraft to operate effectively in complex and contested environments.</p>\n<p>A successful candidate will be skilled in developing real-time object detection, sensor fusion, and state estimation algorithms using data from diverse mission sensors such as EO/IR cameras, radars, and IMUs. The role requires strong algorithmic thinking, deep familiarity with airborne sensing systems, and the ability to deliver performant software in simulation and real-world conditions.</p>\n<p>Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Perception Engineers are instrumental in creating the situational awareness that underpins autonomy, ensuring our systems understand and respond to the operational environment with speed, precision, and resilience.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Develop advanced perception algorithms , Design and implement robust algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities.</li>\n<li>Implement sensor fusion frameworks , Integrate data from vision systems, radars, and other mission sensors using probabilistic and deterministic fusion techniques to generate accurate situational awareness.</li>\n<li>Develop state estimation capabilities , Design and refine algorithms for localization and pose estimation using IMU, GPS, vision, and other onboard sensing inputs to enable stable and accurate navigation.</li>\n<li>Analyze and utilize sensor ICDs , Interpret interface control documents (ICDs) and technical specifications for aircraft-mounted sensors to ensure correct data handling, interpretation, and synchronization.</li>\n<li>Optimize perception performance , Tune and evaluate perception pipelines for performance, robustness, and real-time efficiency in both simulation and real-world environments.</li>\n<li>Support autonomy integration , Work closely with autonomy, systems, and integration teams to interface perception outputs with planning, behaviors, and decision-making modules.</li>\n<li>Validate in simulated and operational settings , Leverage synthetic data, simulation environments, and field testing to validate algorithm accuracy and mission readiness.</li>\n<li>Collaborate with hardware and sensor teams , Ensure seamless integration of perception algorithms with onboard compute platforms and diverse sensor payloads.</li>\n<li>Drive innovation in airborne sensing , Contribute novel ideas and state-of-the-art techniques to advance real-time perception capabilities for unmanned aircraft operating in complex, GPS-denied, or contested environments.</li>\n<li>Travel Requirement , Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).</li>\n</ul>\n<p><strong>Required Qualifications:</strong></p>\n<ul>\n<li>BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience</li>\n<li>Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience</li>\n<li>Background in implementing algorithms such as Kalman Filters, multi-target tracking, or deep learning-based detection models</li>\n<li>Familiarity with fusing data from radar, EO/IR cameras, or other sensors using probabilistic or rule-based approaches</li>\n<li>Familiarity with SLAM, visual-inertial odometry, or sensor-fused localization approaches in real-time applications</li>\n<li>Ability to interpret and work with Interface Control Documents (ICDs) and hardware integration specs</li>\n<li>Proficiency with version control, debugging, and test-driven development in cross-functional teams</li>\n<li>Ability to obtain a SECRET clearance</li>\n</ul>\n<p><strong>Preferred Qualifications:</strong></p>\n<ul>\n<li>Hands-on integration or algorithm development with airborne sensing systems</li>\n<li>Experience with ML frameworks such as PyTorch or Tensorflow, particularly for vision-based object detection or classification tasks</li>\n<li>Experience deploying perception software on SWaP-constrained platforms</li>\n<li>Familiarity with validating perception systems during flight test events or operational environments</li>\n<li>Understanding of sensing challenges in denied or degraded conditions</li>\n<li>Exposure to perception applications across air, maritime, and ground platforms</li>\n</ul>\n<p>$182,720 - $274,080 a year</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_bed4759c-578","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Shield AI","sameAs":"https://www.shield.ai","logo":"https://logos.yubhub.co/shield.ai.png"},"x-apply-url":"https://jobs.lever.co/shieldai/8739c509-b6ea-4640-bcc1-c8b5b1de31b2","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$182,720 - $274,080 a year","x-skills-required":["real-time object detection","sensor fusion","state estimation algorithms","EO/IR cameras","radars","IMUs","Kalman Filters","multi-target tracking","deep learning-based detection models","probabilistic or rule-based approaches","SLAM","visual-inertial odometry","sensor-fused localization","Interface Control Documents","hardware integration specs","version control","debugging","test-driven development"],"x-skills-preferred":["hands-on integration or algorithm development with airborne sensing systems","ML frameworks such as PyTorch or Tensorflow","vision-based object detection or classification tasks","SWaP-constrained platforms","validating perception systems during flight test events or operational environments","sensing challenges in denied or degraded conditions","perception applications across air, maritime, and ground platforms"],"datePosted":"2026-04-17T13:02:45.901Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Diego, California / Washington, DC / Boston, MA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"real-time object detection, sensor fusion, state estimation algorithms, EO/IR cameras, radars, IMUs, Kalman Filters, multi-target tracking, deep learning-based detection models, probabilistic or rule-based approaches, SLAM, visual-inertial odometry, sensor-fused localization, Interface Control Documents, hardware integration specs, version control, debugging, test-driven development, hands-on integration or algorithm development with airborne sensing systems, ML frameworks such as PyTorch or Tensorflow, vision-based object detection or classification tasks, SWaP-constrained platforms, validating perception systems during flight test events or operational environments, sensing challenges in denied or degraded conditions, perception applications across air, maritime, and ground platforms","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":182720,"maxValue":274080,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2832091d-8dd"},"title":"Senior Staff Engineer, Software (C++/Networking)","description":"<p>Shield AI is seeking a Senior Staff Engineer to help lead the design and development of advanced networking capabilities that support our autonomous systems. As part of the Hivemind Foundations team, you&#39;ll focus on building high-performance, reliable networking software spanning transport through application layers. Your work will enable resilient communications for autonomous aircraft and ground systems operating in dynamic and contested environments.</p>\n<p>This role sits at the intersection of networking, distributed systems, and autonomy infrastructure, and is critical to our ability to deploy robust autonomous systems in real-world operations.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Leading the development of the EdgeOS Communication stack used in deployed systems.</li>\n<li>Owning the architecture, implementation, and integration of high-performance C++ networking components.</li>\n<li>Developing and optimizing transport- and application-layer networking features for reliable, low-latency communication.</li>\n<li>Collaborating closely with autonomy, systems, and simulation teams.</li>\n<li>Supporting development of network simulation capabilities used for testing and validation in simulated environments.</li>\n</ul>\n<p>Required qualifications include:</p>\n<ul>\n<li>A Bachelor&#39;s degree in Computer Science, Electrical Engineering, or a related field.</li>\n<li>At least 10 years of related experience with a Bachelor&#39;s degree; or 7 years and a Master&#39;s degree; or 5 years with a PhD; or equivalent work experience.</li>\n<li>Proficiency with C++ 11 or newer in a production environment.</li>\n<li>Understanding of networking fundamentals across IP, TCP/UDP, routing, QoS, and hands-on experience with network debugging and analysis tools.</li>\n<li>Experience developing and debugging distributed or networked systems.</li>\n<li>A proven track record of leading and delivering complex technical projects with minimal oversight.</li>\n</ul>\n<p>Preferred qualifications include:</p>\n<ul>\n<li>Experience with C++17 or newer standards.</li>\n<li>Knowledge of CMake and Conan build systems.</li>\n<li>Background in distributed systems, simulation, or autonomous robotics environments.</li>\n<li>Experience with network emulation or simulation tools.</li>\n<li>Familiarity with RF communication systems or wireless networking concepts.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_2832091d-8dd","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Shield AI","sameAs":"https://www.shield.ai","logo":"https://logos.yubhub.co/shield.ai.png"},"x-apply-url":"https://jobs.lever.co/shieldai/ed0205dd-46b7-4261-bf6b-499aaa754664","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$180,000 - $270,000 a year","x-skills-required":["C++","Networking","Distributed Systems","Autonomy Infrastructure","Network Debugging and Analysis Tools"],"x-skills-preferred":["C++17","CMake","Conan Build Systems","Simulation","Autonomous Robotics Environments","Network Emulation or Simulation Tools","RF Communication Systems","Wireless Networking Concepts"],"datePosted":"2026-04-17T13:02:38.266Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Diego"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C++, Networking, Distributed Systems, Autonomy Infrastructure, Network Debugging and Analysis Tools, C++17, CMake, Conan Build Systems, Simulation, Autonomous Robotics Environments, Network Emulation or Simulation Tools, RF Communication Systems, Wireless Networking Concepts","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":270000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a77ea778-74e"},"title":"Senior Engineer, XBAT Simulation Infrastructure","description":"<p>The Software Integration &amp; Operations group turns frontier autonomy into mission-ready aircraft. We own the commit-to-flight pipeline,deterministic simulation at cluster scale, HIL/VIL integration, CI/CD, automated testing, and release engineering. As a Senior Modeling &amp; Simulation Engineer, you will be dedicated to Shield AI&#39;s next-generation aircraft program, advancing our infrastructure to enable a streamlined simulation test pipeline.</p>\n<p>You&#39;ll design, build, and scale the models and infrastructure needed to use Shield&#39;s simulation platform for qualified software validation efforts. Your simulation infrastructure will enable developers to test faster, system engineers to evaluate performance earlier, and release engineers to ship with confidence.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Build and scale simulation frameworks for integrated testing of autonomy, GNC, and embedded systems in C++.</li>\n<li>Design deterministic, high-performance simulation tools capable of faster-than-real-time execution for development, testing, and release.</li>\n<li>Implement scenario simulation tooling and formal test infrastructure.</li>\n<li>Collaborate across autonomy, embedded, GNC, and test engineering to ensure the simulation mirrors real aircraft behavior and mission scenarios.</li>\n<li>Profile, optimize, and validate C++ codebases for performance, determinism, and fidelity.</li>\n<li>Perform verification &amp; validation (V&amp;V) analysis activities on model tools.</li>\n<li>Contribute to architecture decisions that define the next generation of aircraft simulation tools within Shield AI.</li>\n<li>Mentor engineers and guide best practices in C++, simulation architecture, and performance engineering.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>BS or MS in Computer Science, Aerospace, Robotics, or related field.</li>\n<li>5+ years of experience in software development, with emphasis on modern C++ (C++17 or later) and performance optimization.</li>\n<li>Proven experience developing or integrating simulation systems for robotics, aerospace, or autonomous systems.</li>\n<li>Strong grasp of real-time and deterministic software design, including multi-threading, synchronization, and memory management.</li>\n<li>Experience with DevOps-integrated simulation workflows, including CI/CD and automated hardware testing environments.</li>\n</ul>\n<p><strong>Preferences</strong></p>\n<ul>\n<li>Understanding of rigid-body dynamics, kinematics, and basic flight and sensor mechanics.</li>\n<li>Familiarity with sensor and actuator modeling and integrating avionics or autonomy software within simulation.</li>\n<li>Working knowledge of Python for data analysis, test automation, or simulation orchestration.</li>\n<li>Ability to debug complex build and runtime environments (CMake, CPM, dependency management, logging, profiling tools).</li>\n<li>Strong collaboration and communication skills across software, hardware, and systems disciplines.</li>\n</ul>\n<p>$125,000 - $200,000 a year</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_a77ea778-74e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Shield AI","sameAs":"http://bit.ly/shieldai_lever_homepage","logo":"https://logos.yubhub.co/bit.ly.png"},"x-apply-url":"https://jobs.lever.co/shieldai/8a471d5b-833a-402c-b7a5-4c22b3aee16a","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$125,000 - $200,000 a year","x-skills-required":["C++","Simulation frameworks","Autonomy","GNC","Embedded systems","Real-time software design","Multi-threading","Synchronization","Memory management","DevOps-integrated simulation workflows","CI/CD","Automated hardware testing environments"],"x-skills-preferred":["Rigid-body dynamics","Kinematics","Flight and sensor mechanics","Sensor and actuator modeling","Avionics or autonomy software","Python","Data analysis","Test automation","Simulation orchestration","Debugging complex build and runtime environments"],"datePosted":"2026-04-17T13:02:26.515Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas, Texas / San Diego, California / Boston, MA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C++, Simulation frameworks, Autonomy, GNC, Embedded systems, Real-time software design, Multi-threading, Synchronization, Memory management, DevOps-integrated simulation workflows, CI/CD, Automated hardware testing environments, Rigid-body dynamics, Kinematics, Flight and sensor mechanics, Sensor and actuator modeling, Avionics or autonomy software, Python, Data analysis, Test automation, Simulation orchestration, Debugging complex build and runtime environments","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":125000,"maxValue":200000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d29c97ab-a9a"},"title":"Senior Engineer, Software - Autonomous Aircraft Integration","description":"<p>This position is ideal for an individual who thrives on solving complex integration challenges that span hardware, software, and systems engineering. As a Senior Engineer, Software - Autonomous Aircraft Integration, you will be skilled at deploying autonomy solutions onto unmanned platforms, preparing systems for flight, and troubleshooting mission-critical issues in both lab and field environments.</p>\n<p>The role is highly dynamic, requiring hands-on experience, strong systems thinking, and the ability to operate effectively in fast-paced, real-world test conditions.</p>\n<p>Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Flight Integration Engineers are essential to bridging the gap between R&amp;D and deployment, ensuring that autonomous systems function reliably and effectively when and where they are needed most.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>System Integration &amp; Deployment , Integrate autonomy software onto unmanned aircraft systems, ensuring seamless operation across onboard compute, sensors, and control interfaces.</li>\n</ul>\n<ul>\n<li>Pre-flight Preparation , Own the build, configuration, and validation process for flight-ready systems; coordinate hardware/software compatibility and mission readiness.</li>\n</ul>\n<ul>\n<li>On-site Flight Test Support , Travel to test sites and support live flight operations, including safety checks, system bring-up, and troubleshooting under time-critical constraints.</li>\n</ul>\n<ul>\n<li>Hardware/Software Debugging , Diagnose and resolve integration issues across complex autonomy software stacks and embedded systems in lab and field environments.</li>\n</ul>\n<ul>\n<li>Flight Data Capture &amp; Analysis , Manage data collection during missions and post-test analysis, working with autonomy engineers to refine behaviors and identify improvements.</li>\n</ul>\n<ul>\n<li>Collaboration Across Teams , Work closely with autonomy, GNC, systems, and test teams to ensure mission-critical functionality is delivered on time and validated thoroughly.</li>\n</ul>\n<ul>\n<li>Continuous Improvement , Build tools and processes to improve integration timelines, flight test reliability, and team efficiency across deployment cycles.</li>\n</ul>\n<ul>\n<li>Support Certification and Compliance , Assist with documentation and system-level validation required for certification, airworthiness, and compliance in defense-relevant environments.</li>\n</ul>\n<ul>\n<li>Travel Requirement , Members of this team typically travel around 30-40% of the year (to different office locations, customer sites, and flight integration events).</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience</li>\n</ul>\n<ul>\n<li>Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 4 years and a Master’s degree; or 2 years with a PhD; or equivalent work experience</li>\n</ul>\n<ul>\n<li>Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)</li>\n</ul>\n<ul>\n<li>Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics</li>\n</ul>\n<ul>\n<li>Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS)</li>\n</ul>\n<ul>\n<li>Hands-on experience supporting flight demos or live exercises</li>\n</ul>\n<ul>\n<li>Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation</li>\n</ul>\n<ul>\n<li>Strong problem-solving skills, with the ability to troubleshoot and optimize system performance</li>\n</ul>\n<ul>\n<li>Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment</li>\n</ul>\n<ul>\n<li>Ability to obtain a SECRET clearance</li>\n</ul>\n<p><strong>Preferred Qualifications:</strong></p>\n<ul>\n<li>Direct experience supporting unmanned aerial systems or similar flight test campaigns</li>\n</ul>\n<ul>\n<li>Familiarity with autonomy stacks, flight control systems, or GNC pipelines</li>\n</ul>\n<ul>\n<li>Competence in sensor integration, electronics debugging, or avionics bring-up</li>\n</ul>\n<ul>\n<li>Proficiency in developing automation tools for system testing, logging, and data parsing</li>\n</ul>\n<ul>\n<li>Comfortable interfacing with DoD stakeholders during field events or technical reviews</li>\n</ul>\n<ul>\n<li>Experience with UCI and OMS Standards</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d29c97ab-a9a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Shield AI","sameAs":"https://www.shield.ai","logo":"https://logos.yubhub.co/shield.ai.png"},"x-apply-url":"https://jobs.lever.co/shieldai/3daaf9c5-164e-4a8e-abc9-b475a38522c3","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$160,000 - $240,000 a year","x-skills-required":["C++","Python","Real-time operating systems (RTOS)","Linux-based development","Embedded systems","Shell scripting","System diagnostics","Sensor integration","Sensor fusion","Middleware frameworks (e.g., ROS, DDS)","Simulation tools and environments (e.g., AFSIM, NGTS)"],"x-skills-preferred":["Direct experience supporting unmanned aerial systems or similar flight test campaigns","Familiarity with autonomy stacks, flight control systems, or GNC pipelines","Competence in sensor integration, electronics debugging, or avionics bring-up","Proficiency in developing automation tools for system testing, logging, and data parsing","Comfortable interfacing with DoD stakeholders during field events or technical reviews","Experience with UCI and OMS Standards"],"datePosted":"2026-04-17T13:02:07.941Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington, DC / Boston, MA / San Diego, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C++, Python, Real-time operating systems (RTOS), Linux-based development, Embedded systems, Shell scripting, System diagnostics, Sensor integration, Sensor fusion, Middleware frameworks (e.g., ROS, DDS), Simulation tools and environments (e.g., AFSIM, NGTS), Direct experience supporting unmanned aerial systems or similar flight test campaigns, Familiarity with autonomy stacks, flight control systems, or GNC pipelines, Competence in sensor integration, electronics debugging, or avionics bring-up, Proficiency in developing automation tools for system testing, logging, and data parsing, Comfortable interfacing with DoD stakeholders during field events or technical reviews, Experience with UCI and OMS Standards","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":160000,"maxValue":240000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5c606dc7-2e2"},"title":"Engineer II, Electrical Failure Analysis","description":"<p>Shield AI is pioneering AI pilots for aircraft that protect service members and civilians. We&#39;re looking for a failure analysis engineer to join our team, focused on the design, integration, and troubleshooting of electronics systems critical to our aircraft.</p>\n<p>This role is perfect for an engineer with a solid foundation in power systems and embedded systems who is eager to grow, own challenging projects, and see their work move rapidly from concept to flight. If you thrive in fast-paced environments, enjoy solving complex problems, and want to help build the future of autonomous aviation, we want to hear from you.</p>\n<p>Key responsibilities include:</p>\n<p>Performing failure analysis investigations for avionics hardware, including PCBAs, harnesses, connectors, and interconnects\nConducting root cause analysis\nCollaborating with design engineers to identify design vulnerabilities, manufacturing, and suppliers on process-related issues\nWorking closely with cross-functional teams (reliability, mechanical, embedded, software, production, supply chain, etc.)\nDriving design, process, and supplier corrective actions to closure</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5c606dc7-2e2","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Shield AI","sameAs":"https://www.shield.ai","logo":"https://logos.yubhub.co/shield.ai.png"},"x-apply-url":"https://jobs.lever.co/shieldai/73be298c-49d5-4f38-bdf5-93a0c0e8a7a5","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$91,660 - $137,490 a year","x-skills-required":["Power systems","Embedded systems","Failure analysis","Reliability","Hardware debug","PCBA design","Cross-sectioning","Microscopy","X-ray","Debugging tools","Multimeter","Oscilloscope"],"x-skills-preferred":[],"datePosted":"2026-04-17T13:02:01.602Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Power systems, Embedded systems, Failure analysis, Reliability, Hardware debug, PCBA design, Cross-sectioning, Microscopy, X-ray, Debugging tools, Multimeter, Oscilloscope","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":91660,"maxValue":137490,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4bc0441f-89d"},"title":"Senior Staff Engineer, Software - Autonomous Aircraft Integration","description":"<p>This position is ideal for an individual who thrives on solving complex integration challenges that span hardware, software, and systems engineering. As a Senior Staff Engineer, Software - Autonomous Aircraft Integration, you will be skilled at deploying autonomy solutions onto unmanned platforms, preparing systems for flight, and troubleshooting mission-critical issues in both lab and field environments.</p>\n<p>Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Flight Integration Engineers are essential to bridging the gap between R&amp;D and deployment, ensuring that autonomous systems function reliably and effectively when and where they are needed most.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>System Integration &amp; Deployment , Integrate autonomy software onto unmanned aircraft systems, ensuring seamless operation across onboard compute, sensors, and control interfaces.</li>\n<li>Pre-flight Preparation , Own the build, configuration, and validation process for flight-ready systems; coordinate hardware/software compatibility and mission readiness.</li>\n<li>On-site Flight Test Support , Travel to test sites and support live flight operations, including safety checks, system bring-up, and troubleshooting under time-critical constraints.</li>\n<li>Hardware/Software Debugging , Diagnose and resolve integration issues across complex autonomy software stacks and embedded systems in lab and field environments.</li>\n<li>Flight Data Capture &amp; Analysis , Manage data collection during missions and post-test analysis, working with autonomy engineers to refine behaviors and identify improvements.</li>\n<li>Collaboration Across Teams , Work closely with autonomy, GNC, systems, and test teams to ensure mission-critical functionality is delivered on time and validated thoroughly.</li>\n<li>Continuous Improvement , Build tools and processes to improve integration timelines, flight test reliability, and team efficiency across deployment cycles.</li>\n<li>Support Certification and Compliance , Assist with documentation and system-level validation required for certification, airworthiness, and compliance in defense-relevant environments.</li>\n<li>Travel Requirement , Members of this team typically travel around 30-40% of the year (to different office locations, customer sites, and flight integration events).</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience</li>\n<li>Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience</li>\n<li>Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)</li>\n<li>Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics</li>\n<li>Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS)</li>\n<li>Hands-on experience supporting flight demos or live exercises</li>\n<li>Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation</li>\n<li>Strong problem-solving skills, with the ability to troubleshoot and optimize system performance</li>\n<li>Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment</li>\n<li>Ability to obtain a SECRET clearance</li>\n</ul>\n<p><strong>Preferences:</strong></p>\n<ul>\n<li>Direct experience supporting unmanned aerial systems or similar flight test campaigns</li>\n<li>Familiarity with autonomy stacks, flight control systems, or GNC pipelines</li>\n<li>Competence in sensor integration, electronics debugging, or avionics bring-up</li>\n<li>Proficiency in developing automation tools for system testing, logging, and data parsing</li>\n<li>Comfortable interfacing with DoD stakeholders during field events or technical reviews</li>\n<li>Experience with UCI and OMS Standards</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_4bc0441f-89d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Shield AI","sameAs":"https://www.shield.ai","logo":"https://logos.yubhub.co/shield.ai.png"},"x-apply-url":"https://jobs.lever.co/shieldai/25011392-094f-482c-b007-f307fb8c4f9f","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$220,800 - $331,200 a year","x-skills-required":["C++","Python","Real-time operating systems (RTOS)","Linux-based development","Embedded systems","Shell scripting","System diagnostics","Sensor integration","Sensor fusion","Middleware frameworks (e.g., ROS, DDS)","Simulation tools and environments (e.g., AFSIM, NGTS)"],"x-skills-preferred":["Direct experience supporting unmanned aerial systems or similar flight test campaigns","Familiarity with autonomy stacks, flight control systems, or GNC pipelines","Competence in sensor integration, electronics debugging, or avionics bring-up","Proficiency in developing automation tools for system testing, logging, and data parsing","Comfortable interfacing with DoD stakeholders during field events or technical reviews","Experience with UCI and OMS Standards"],"datePosted":"2026-04-17T13:01:44.268Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington, DC / Boston, MA / San Diego, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C++, Python, Real-time operating systems (RTOS), Linux-based development, Embedded systems, Shell scripting, System diagnostics, Sensor integration, Sensor fusion, Middleware frameworks (e.g., ROS, DDS), Simulation tools and environments (e.g., AFSIM, NGTS), Direct experience supporting unmanned aerial systems or similar flight test campaigns, Familiarity with autonomy stacks, flight control systems, or GNC pipelines, Competence in sensor integration, electronics debugging, or avionics bring-up, Proficiency in developing automation tools for system testing, logging, and data parsing, Comfortable interfacing with DoD stakeholders during field events or technical reviews, Experience with UCI and OMS Standards","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":220800,"maxValue":331200,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c9930c30-b21"},"title":"Systems Architecture, Integration, and Test Engineer (Electrical and/or Software)","description":"<p>We are seeking a Systems Architecture, Integration, and Test Engineer (Electrical and/or Software) to drive key electrical &amp; software integration initiatives for our cutting-edge autonomous vessels.</p>\n<p>In this pivotal role, you will be responsible for ensuring the electrical and software systems that enable autonomy, control, and communications meet reliability and integration requirements.</p>\n<p>You will lead efforts in electrical architecture design, software- and hardware-in-the-loop (HITL) verification, and failure mode analysis for electronics and embedded systems.</p>\n<p>Working with electrical, software, and other engineers, you’ll identify reliability drivers, define test requirements, and execute end-to-end full lifecycle system performance verification across mission scenarios and environmental conditions.</p>\n<p>Your expertise will be crucial in ensuring the reliability and performance of our innovative maritime technology as we advance towards the future of autonomous vessels.</p>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Lead electrical and software system integration efforts, and work cross-functionally to ensure aspects such as signal integrity, power management, communication protocols, and autonomy behavior meets design intent and system requirements (design criteria)</li>\n<li>Define and maintain system-level electrical and software interface requirements using Jama and internal tools, ensuring clarity across design teams</li>\n<li>Help develop and execute integration and validation test plans for electrical subsystems, software-in-the-loop (SIL), and hardware-in-the-loop (HITL) testing</li>\n<li>Define and execute electrical reliability tests (e.g., EMI/EMC, power cycling, thermal stress) to validate robustness and fault tolerance</li>\n<li>Support root cause investigations for electrical and software-related failures, coordinating corrective actions and preventive measures</li>\n<li>Lead technical reviews related to system interfaces, electrical integration, and software verification results, ensuring feedback is integrated into design updates</li>\n<li>Mentor other engineers in best practices for electrical and software reliability, including fault-tolerant design, redundancy, and diagnostic coverage</li>\n<li>Define top-down use cases, system architecture, and design reference missions for products alongside product architects and responsible engineers</li>\n<li>Define, document, and maintain system requirements (design criteria) using Jama and in-house developed tools/environments</li>\n<li>Work closely with engineering teams to ensure requirements are accurately interpreted and implemented</li>\n<li>Maintain up-to-date technical documentation for system requirements, testing requirements, verification and validation</li>\n<li>Clearly articulate technical information to stakeholders at all levels, ensuring alignment of objectives across engineering, software, and mission operations</li>\n<li>Participate in systems engineering activities including concept development, system design, integration, and testing</li>\n<li>Develop, own, and execute subsystem- and system-level verification and validation (V&amp;V) plans to ensure designs meet functional, performance, autonomy, reliability, and safety requirements</li>\n<li>Define test objectives, configurations, procedures, and success criteria for subsystem and full-system integration tests</li>\n<li>Lead root cause analysis/failure investigation, and corrective action for issues found during R&amp;D and qualification testing alongside the development, quality, and test teams.</li>\n<li>Develop and maintain internal data analysis and visualization tools to streamline test reporting and decision-making</li>\n<li>Collaborate closely with mission operations, design engineers, and other stakeholders to collect, analyze, and interpret in-field or post-deployment data, feeding results back into design iterations</li>\n<li>Work with hardware-in-the-loop (HITL) engineers to architect verification &amp; test campaigns and execute subsystem- and system-level testing</li>\n<li>Help drive the development of internal tools, guides, calculators, or similar via Palantir Foundry, Confluence, Excel, or similar</li>\n<li>Support the engineering design cycle process as a subject matter expert to ensure teams adhere to our hardware design best practices, and analysis best practices</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>This job posting is intended for candidates at all levels, including Sr, Staff, etc., and generally requires at a minimum 2+ years of industry experience as a Design Engineer, Development Engineer, Test Engineer, Systems Engineer, Reliability Engineer, or similar</li>\n<li>Bachelor’s degree or greater in Mechanical, Aerospace, Industrial, Systems, Software, Computer, Electrical Engineering, or similar</li>\n<li>Experience working on advanced hardware systems, autonomous systems, complex electronics systems, or similar</li>\n<li>Requirement decomposition experience for both hardware and software</li>\n<li>Coding and software development experience, such as in Python, Java, C++, or similar</li>\n<li>Experience with failure analysis, root cause analysis methodologies, corrective action 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We&#39;re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life.</p>\n<p>We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid&#39;s network covers 12,000 financial institutions across the US, Canada, UK and Europe.</p>\n<p>The AI Applications Team You will have the opportunity to join as one of the founding members of this newly formed team that is dedicated to consolidating and rapidly scaling our successful bets so far, and grow with the team in our quest to accelerate Plaid&#39;s transformation into an AI-first company.</p>\n<p>In this role you will lead projects that enable and scale our business with our largest AI customers and partners, starting with personal finance use cases and expanding into many others; examples include:</p>\n<ul>\n<li>Develop and evolve the preferred integration pattern for Plaid with AI providers - from API adaptations to building the official Plaid MCP Servers, and beyond</li>\n</ul>\n<ul>\n<li>Redefine how Plaid&#39;s consumer link experience embed into conversational interfaces in the most seamless way</li>\n</ul>\n<ul>\n<li>Architect the trust layer for the future of agentic commerce that will become the industry standard</li>\n</ul>\n<p>Additionally you will be expected to scale and extend our existing successful bets on AI-powered customer experience; examples include:</p>\n<ul>\n<li>Make the next step-function improvement in our homegrown customer support agent</li>\n</ul>\n<ul>\n<li>Land our multi-turn and multi-agent system that powers a truly delightful experience for our customers; define how to scalably run offline evaluation for complex multi-turn open-ended tasks; research and prototype how Human-In-The-Loop - Reinforcement Learning (RLHF) can power an insights flywheel; pioneer the architecture for customer-specific long-term memory, etc.</li>\n</ul>\n<ul>\n<li>Extend our agentic system to support other critical parts of the customer journey, starting with areas with the highest ROI - top-of-funnel product recommendation, customer onboarding and risk diligence, customer activation and assistance for faster productionization, as well as upselling and cross-selling of Plaid products</li>\n</ul>\n<p>You will have a front row seat to all the latest industry developments. Over time, with the skills and experience you develop and hone on this team, you can become an influential voice in defining where AI &lt; Fintech will be heading longer term.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Build across the stack. 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As a Software Engineer, you will design and build the systems that power how millions of people connect to their finances. You will work across the stack, from reliable backend services and APIs to intuitive applications that bring those systems to life.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>System Design &amp; Development: Build and maintain scalable, reliable backend or fullstack systems and APIs that power Plaid’s products.</li>\n<li>Collaboration: Work closely with product managers, designers, and other engineers to define and deliver features that solve real customer problems.</li>\n<li>Code Quality: Write clean, efficient, and well-tested code. 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We&#39;re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products.</p>\n<p>As a Software Engineer at Plaid, you will be responsible for designing and developing backend services with a focus on performance, reliability, and scalability. You will work closely with product managers and other stakeholders to define and implement new features that meet product and customer needs.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design &amp; Development: Build and maintain backend services with a focus on performance, reliability, and scalability.</li>\n<li>Collaboration: Work closely with product managers and other stakeholders to define and implement new features that meet product and customer needs.</li>\n<li>Code Quality: Write clean, maintainable, and efficient code.</li>\n<li>Testing &amp; Debugging: Develop automated tests to ensure the quality and reliability of the codebase. Troubleshoot and resolve issues.</li>\n<li>Engage in hands-on coding and architectural design, setting and maintaining high technical standards for a high-performing team.</li>\n<li>Grow the team via mentorship and leadership, reviewing technical documents and code changes.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>5+ years of experience with extensive experience in software engineering with a proven track record of shipping successful projects.</li>\n<li>Experience with MySQL or other relational databases.</li>\n<li>Experience working with microservices.</li>\n<li>Excellent coding, testing, and system design skills.</li>\n<li>Prior experience with cross-functional collaboration, communication, and project management skills.</li>\n<li>Demonstrated leadership skills and the ability to mentor and guide junior engineers.</li>\n<li>Ability to work with operations, product, design, and data science.</li>\n</ul>\n<p>Additional Information:</p>\n<p>Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn&#39;t fully match the job description.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_f973244b-a9a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Plaid","sameAs":"https://plaid.com/","logo":"https://logos.yubhub.co/plaid.com.png"},"x-apply-url":"https://jobs.lever.co/plaid/0e7c6766-a599-4c5f-80a9-36164c45d93e","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["MySQL","microservices","relational databases","system design","testing","debugging","leadership","mentorship"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:51:33.498Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"MySQL, microservices, relational databases, system design, testing, debugging, leadership, mentorship"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7d9b8590-1c7"},"title":"Senior Software Engineer - AI Applications","description":"<p>We believe that the way people interact with their finances will drastically improve in the next few years. We&#39;re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products.</p>\n<p>Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Build across the stack. 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Your work will involve automated testing, edge-case analysis, and collaboration with cross-functional teams to deliver seamless, high-quality user experiences.</p>\n<p>Key responsibilities include:</p>\n<p>• Test Automation: Develop automated test suites to validate app features, APIs, and model integrations, ensuring end-to-end reliability and user experience.\n• Edge Case Analysis: Collaborate with PMs and other stakeholders to identify and rigorously test edge cases, improving the robustness of both platform features and models.\n• Quality Platform Development: Contribute to building tools and frameworks that enable more efficient and scalable quality testing processes across the organization.\n• Release Readiness Validation: Implement pre-release quality gates to validate models, APIs, and platform updates, providing a green light for production releases.\n• Systematic QA Campaigns: Design and lead comprehensive quality assurance campaigns, including functional, stress, and performance testing, to proactively identify potential issues.</p>\n<p>About you:</p>\n<p>• You have proven ability to create and execute comprehensive test strategies, covering functional, regression, and exploratory testing for AI products.\n• You are proficient in QA tools like Playwright, Postman, or similar platforms for API and functional testing.\n• You’re skilled in identifying, documenting, and collaborating with developers to resolve issues efficiently.\n• You are autonomous and a self-starter.\n• You are a proactive problem-solver with a continuous improvement mindset.\n• You are proficient in Python or Typescript.</p>\n<p>Now it would be ideal if you have:</p>\n<p>• Experience testing Machine Learning models.\n• Understanding of the Machine Learning lifecycle.\n• Experience in various types of testing: performance, load, accessibility or others.\n• Strong debugging skills.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_3dc22166-9ed","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mistral AI","sameAs":"https://mistral.ai","logo":"https://logos.yubhub.co/mistral.ai.png"},"x-apply-url":"https://jobs.lever.co/mistral/03918386-cb56-4e4d-afa8-1f8b7676a4a6","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Test Automation","Edge Case Analysis","Quality Platform Development","Release Readiness Validation","Systematic QA Campaigns","Playwright","Postman","Python","Typescript"],"x-skills-preferred":["Machine Learning","Machine Learning lifecycle","Performance testing","Load testing","Accessibility testing","Debugging"],"datePosted":"2026-04-17T12:46:58.534Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Paris"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Test Automation, Edge Case Analysis, Quality Platform Development, Release Readiness Validation, Systematic QA Campaigns, Playwright, Postman, Python, Typescript, Machine Learning, Machine Learning lifecycle, Performance testing, Load testing, Accessibility testing, Debugging"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_18fad01e-942"},"title":"Salesforce Developer","description":"<p>We&#39;re hiring a Salesforce Developer to deepen Mercury&#39;s technical bench. This role fills a critical gap today: hands-on engineering capacity to implement platform capabilities that already exist on paper , and reduce tool sprawl by building stronger foundations directly into Salesforce and adjacent systems.</p>\n<p>As a Salesforce Developer, you&#39;ll work closely with Architecture, Data, TPM, and Systems Experience to turn intent into reality. Your responsibilities will include:</p>\n<ul>\n<li>Building and maintaining Salesforce functionality (flows, automation, objects, permissions)</li>\n<li>Implementing architectural designs without diverging from intent</li>\n<li>Improving reliability, performance, and maintainability of GTM systems</li>\n<li>Reducing tech debt and replacing fragile workarounds with durable solutions</li>\n<li>Partnering with Data Strategy to ensure clean data generation</li>\n<li>Supporting integrations and tooling across the revenue stack</li>\n<li>Participating in incident response and platform debugging</li>\n<li>Helping migrate functionality into core platforms rather than adding new tools</li>\n</ul>\n<p>To succeed in this role, you&#39;ll need:</p>\n<ul>\n<li>8+ years experience in Salesforce development or platform engineering roles</li>\n<li>Strong hands-on experience with Salesforce automation, flows, object models, permissions, and integrations</li>\n<li>Excited to own and maintain API-based integrations between Salesforce and downstream/upstream systems</li>\n<li>Demonstrated ability to build and refactor systems with durability, performance, and maintainability in mind</li>\n<li>Experience partnering with cross-functional teams to implement technical solutions</li>\n<li>Strong debugging and problem-solving skills in production environments</li>\n<li>Clear communication skills and comfort explaining technical tradeoffs</li>\n</ul>\n<p>Preferred qualifications include experience with Salesforce Data Cloud, familiarity with GTM workflows, revenue operations, or customer lifecycle systems, and exposure to data pipelines, ETL processes, or downstream analytics usage.</p>\n<p>The total rewards package at Mercury includes base salary, equity (stock options), and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate&#39;s experience, expertise, geographic location, and internal pay equity relative to peers.</p>\n<p>Our target new hire base salary ranges for this role are:</p>\n<ul>\n<li>US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $158,400 - 198,000</li>\n<li>US employees outside of New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $142,600 - 178,200</li>\n<li>Canadian employees (any location): CAD $149,700 - $187,100</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_18fad01e-942","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mercury","sameAs":"https://www.mercury.com/","logo":"https://logos.yubhub.co/mercury.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/mercury/jobs/5857783004","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$142,600 - 198,000","x-skills-required":["Salesforce development","Platform engineering","Automation","Flows","Object models","Permissions","Integrations","API-based integrations","Data strategy","GTM systems","Revenue stack","Incident response","Platform debugging"],"x-skills-preferred":["Salesforce Data Cloud","GTM workflows","Revenue operations","Customer lifecycle systems","Data pipelines","ETL processes","Downstream analytics usage"],"datePosted":"2026-04-17T12:45:15.149Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"Salesforce development, Platform engineering, Automation, Flows, Object models, Permissions, Integrations, API-based integrations, Data strategy, GTM systems, Revenue stack, Incident response, Platform debugging, Salesforce Data Cloud, GTM workflows, Revenue operations, Customer lifecycle systems, Data pipelines, ETL processes, Downstream analytics usage","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":142600,"maxValue":198000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ce1bb028-547"},"title":"Senior Customer Care Engineer (Technical Support) - Federal TS SCI w/ FSP","description":"<p>We are seeking a Senior Technical Support Engineer to join our Support team. As a Senior Technical Support Engineer, you will be responsible for providing world-class post-sales customer support and technical leadership to our client base.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Providing triage, prioritizing, and resolving technical issues for our top customers.</li>\n<li>Identifying software bugs, recreating customer issues, and testing/verifying versions with software fixes.</li>\n<li>Working with Forward Engineering teams to resolve customer issues.</li>\n<li>Escalating unresolved issues in a timely manner and maintaining direct communications with all stakeholders.</li>\n<li>On-site live troubleshooting in Federal customer locations.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>7+ years of technical customer support experience.</li>\n<li>Experience working in technical support assisting a variety of networking and system issues.</li>\n<li>TS SCI clearance w/FSP poly.</li>\n</ul>\n<p>Experience:</p>\n<ul>\n<li>Strong understanding of fundamentals in Networking, Cloud or Security.</li>\n<li>Strong written and interpersonal communications skills.</li>\n<li>Excellent analytical &amp; problem-solving skills, combined with the ability to provide quick resolution to problems.</li>\n<li>Experience supporting a multi-vendor network (e.g. A10, Arista, Cisco, F5, Fortinet, Juniper, Palo Alto Networks, AWS, GCP etc.).</li>\n<li>Proven ability to work cross-functionally within a team-oriented environment.</li>\n</ul>\n<p>Highly Desired:</p>\n<ul>\n<li>B.S. 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The offered compensation may also include stock.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ce1bb028-547","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Forward Networks","sameAs":"https://www.forwardnetworks.com/","logo":"https://logos.yubhub.co/forwardnetworks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/forwardnetworks/jobs/7659150003","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$200,000/yr to $230,000/yr","x-skills-required":["Networking","Cloud","Security","Technical Support","Troubleshooting","Software Development","Team Leadership"],"x-skills-preferred":["Python","Kubernetes","Linux","API Debugging","Cloud Networking"],"datePosted":"2026-04-17T12:35:48.625Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - Washington, DC"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Networking, Cloud, Security, Technical Support, Troubleshooting, Software Development, Team Leadership, Python, Kubernetes, Linux, API Debugging, Cloud Networking","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":200000,"maxValue":230000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c6ad7239-e8e"},"title":"Technical Support Engineer","description":"<p>At Eve, we&#39;re redefining what&#39;s possible in legal technology. Our mission is to empower plaintiff law firms with AI-driven solutions that elevate how they operate, serve clients, and grow.</p>\n<p>We believe the future of law will be built by &#39;AI-Native Law Firms&#39; , firms that are managed, scaled, and optimized by intelligent systems rather than manual processes and endless administrative work.</p>\n<p>Eve&#39;s technology augments the capabilities of attorneys across every stage of a case , from intake and document review to strategy and settlement , so they can focus on what truly matters: achieving the best outcomes for their clients.</p>\n<p>Our vision is simple yet transformative: enable every firm to operate at its highest potential through the power of AI.</p>\n<p><strong>Why Join Eve:</strong></p>\n<p>This is not a traditional support role. Eve&#39;s Technical Support Engineers are technical problem solvers who work at the intersection of a cutting-edge AI product and the 850+ plaintiff law firms that depend on it.</p>\n<p>When a paralegal reports that a medical chronology &#39;doesn&#39;t look right,&#39; your job is to determine whether that&#39;s a retrieval issue, a data ingestion problem, a model behavior question, or user error.</p>\n<p>You&#39;ll investigate using AI observability tooling, document your findings with precision, and either resolve the issue or hand engineering a complete diagnostic they can act on immediately.</p>\n<p>A significant portion of this role involves investigating AI output quality , understanding why the product generated what it did and whether the result is correct, incomplete, or wrong.</p>\n<p>The rest is split between diagnosing traditional technical issues (document formatting, cloud storage sync, integrations) and building the support infrastructure itself: writing SOPs, expanding 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behavior.</li>\n</ul>\n<p>Help shape how Eve deploys AI agents for first-touch triage and self-service resolution.</p>\n<p>Define what AI-native support looks like in legal tech.</p>\n<p><strong>What We Are Looking For:</strong></p>\n<ul>\n<li>AI Debugging Ability: You can investigate why an AI-generated document produced an unexpected result.</li>\n</ul>\n<p>You&#39;re comfortable navigating AI observability and tracing tooling to understand model behavior.</p>\n<p>You can distinguish between a retrieval failure, a prompt issue, and a data ingestion problem , and explain the difference to a paralegal.</p>\n<ul>\n<li>Technical Depth: You can read logs, trace API calls, debug OAuth token expirations, diagnose cloud storage sync failures, and reason about what&#39;s happening under the hood of a SaaS product.</li>\n</ul>\n<p>You don&#39;t need to be a software engineer, but you think like one when troubleshooting.</p>\n<ul>\n<li>Structured Escalation Discipline: You document your work 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Our mission is to empower plaintiff law firms with AI-driven solutions that elevate how they operate, serve clients, and grow.</p>\n<p>We believe the future of law will be built by &#39;AI-Native Law Firms&#39; , firms that are managed, scaled, and optimized by intelligent systems rather than manual processes and endless administrative work. Eve&#39;s technology augments the capabilities of attorneys across every stage of a case , from intake and document review to strategy and settlement , so they can focus on what truly matters: achieving the best outcomes for their clients.</p>\n<p><strong>Why Join Eve:</strong></p>\n<p>Product-market fit: Eve is used by over 550+ law firms, and we&#39;re growing fast. Backed by top investors: We&#39;ve raised over $160M from world-class partners including Spark Capital, Andreessen Horowitz(A16z), Menlo Ventures, and Lightspeed. Built by a world-class team: Engineers, designers, and operators from places like Scale, Meta, Airbnb, Cruise, Square, Rubrik, and Lyft are building Eve from the ground up. AI-Native from day one: We&#39;re on the bleeding edge of AI, collaborating directly with teams at OpenAI and Anthropic to build best-in-class AI workflows tailored for legal work. Explosive growth: We are growing 2X revenue Quarter over Quarter. Our revenue model is consumption-based (per legal matter), which means our success is directly tied to how deeply customers adopt the product. That starts with integration. Customers with connected CMS integrations retain and expand at significantly higher rates, and nearly every account that has expanded started with a completed integration.</p>\n<p><strong>Why This Role:</strong></p>\n<p>You&#39;ll own the end-to-end integration experience for Eve&#39;s customers, from contract signed to integration live and usable. Eve integrates with multiple major case management platforms, each with its own API patterns, authentication models, deployment quirks, and edge cases. Some are cloud-native with clean REST APIs. Others are self-hosted on-prem systems behind firewalls that require weeks of configuration. Your job is to figure out the right integration path for each customer and drive it to completion. This is not a project management role, but it&#39;s not a pure engineering role either. You&#39;ll split your time between hands-on technical work (configuration, validation, debugging, scripting) and customer-facing delivery (implementation planning, expectation setting, vendor coordination, internal handoffs).</p>\n<p><strong>What You Will Accomplish:</strong></p>\n<p>Own integration delivery for customers from post-sale through go-live: scoping the integration path, validating configuration (auth setup, tenant and environment validation, allowlisting, callback/redirect setup, granular permissions, document store configuration), testing in sandbox and live environments, and driving to completion Scope integration approaches for new CMS partners, prototype solutions, and deliver technical requirements to Engineering for productization Manage strategic vendor relationships: pressuring vendors for API access, proving whether issues are on their side or ours, identifying unsupported or undocumented API behavior, and negotiating workarounds when standard paths don’t exist Debug and resolve production integration issues by tracing through logs, isolating the layer (our side, vendor side, or customer config), and resolving or routing to Engineering with a clear diagnosis Build the assets required to scale integration delivery: implementation playbooks, vendor-specific setup guides, troubleshooting matrices, customer readiness checklists, known limitation documentation, escalation criteria, and handoff notes for the CS team Identify patterns across customer integrations and feed productization requirements back to Engineering, without duplicating the platform Engineering owns</p>\n<p><strong>What We Are Looking For:</strong></p>\n<p>3-5+ years building, configuring, and debugging production API integrations (REST APIs, pagination, rate limiting, retry logic) Experience owning implementation delivery end-to-end, not just building integrations but driving them to completion with customers Proficiency in Python or Node.js (Python preferred) for scripting, data transformation, and API orchestration Hands-on experience with OAuth 2.0, JWT, token refresh cycles, and permission/scoping troubleshooting Comfortable working with webhooks and debugging common failure modes (expiry, missed events, configuration drift) Experience mapping data across systems that represent the same concepts differently Strong communication skills for customer calls, vendor negotiations, and internal coordination Interest in legal technology and how law firms operate</p>\n<p><strong>You’ll Thrive in This Role If You Have:</strong></p>\n<p>Direct experience with legal tech platforms (Clio, Filevine, SmartAdvocate, Litify) iPaaS or integration platform experience (Workato, Celigo, Mulesoft, Tray.io) A track record of creating implementation documentation, runbooks, or process guides that other teams use SQL familiarity and ability to reason about how integration data flows into a data warehouse On-prem and hybrid deployment experience with self-hosted systems, firewall rules, and VPNs Multi-tenant integration management across hundreds of customer accounts Experience building observability and alerting for integrations at scale</p>\n<p><strong>Additional Information:</strong></p>\n<p>Benefits: Competitive Salary &amp; 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We&#39;re creating the generative models that power how people make images and video,tools used by millions of creators, developers, and businesses worldwide. Our FLUX models are among the most advanced in the world, and we’re just getting started.</p>\n<p><strong>Why This Role</strong></p>\n<p>You&#39;ll train large-scale diffusion models for image and video generation, exploring new approaches while maintaining the rigor that helps us distinguish meaningful progress from incremental tweaks. This isn&#39;t about following established recipes,it&#39;s about running the experiments that clarify which architectural choices matter and which are less impactful.</p>\n<p><strong>What You’ll Work On</strong></p>\n<ul>\n<li>Trains large-scale diffusion transformer models for image and video data, working at the scale where intuitions break and empirical evidence matters</li>\n<li>Rigorously ablates design choices,running experiments that isolate variables, control for confounds, and produce insights you can actually trust,then communicating those results to shape our research direction</li>\n<li>Reasons about the speed-quality tradeoffs of neural network architectures in production settings where both constraints matter simultaneously</li>\n<li>Fine-tunes diffusion models for specialized applications like image and video upscalers, inpainting/outpainting models, and other tasks where general-purpose models aren&#39;t enough</li>\n</ul>\n<p><strong>What We’re Looking For</strong></p>\n<ul>\n<li>You&#39;ve trained large-scale diffusion models and developed strong intuitions about what matters. You know that at research scale, every design choice has tradeoffs, and the only way to know which ones are worth making is through careful ablation. You&#39;re comfortable debugging distributed training issues and presenting research findings to the team.</li>\n</ul>\n<p><strong>Required Skills</strong></p>\n<ul>\n<li>Hands-on experience training large-scale diffusion models for image and video data, with practical knowledge of common failure modes and what matters most in training</li>\n<li>Experience fine-tuning diffusion models for specialized applications,upscalers, inpainting, outpainting, or other tasks where understanding the domain matters as much as understanding the architecture</li>\n<li>Deep understanding of how to effectively evaluate image and video generative models,knowing which metrics correlate with quality and which are just convenient proxies</li>\n<li>Strong proficiency in PyTorch, transformer architectures, and the full ecosystem of modern deep learning</li>\n<li>Solid understanding of distributed training techniques,FSDP, low precision training, model parallelism,because our models don&#39;t fit on one GPU and training decisions impact research outcomes</li>\n</ul>\n<p><strong>Preferred Skills</strong></p>\n<ul>\n<li>Experience writing forward and backward Triton kernels and ensuring their correctness while considering floating point errors</li>\n<li>Proficiency with profiling, debugging, and optimizing single and multi-GPU operations using tools like Nsight or stack trace viewers</li>\n<li>Know the performance characteristics of different architectural choices at scale</li>\n<li>Have published research that contributed to how people think about generative models</li>\n</ul>\n<p><strong>How We Work Together</strong></p>\n<p>We’re a distributed team with real offices that people actually use. Depending on your role, you’ll either join us in Freiburg or SF at least 2 days a week (or one full week every other week), or work remotely with a monthly in-person week to stay connected. We’ll cover reasonable travel costs to make this possible. We think in-person time matters, and we’ve structured things to make it accessible to all. 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You will also configure and bring up complex software stacks and drivers on simulated hardware platforms, collaborate with other development teams, IP owners, third-party suppliers, support engineers, and customers to identify, implement, and deliver solutions.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Develop and deliver high-performance simulation models for automotive, enterprise, telecommunications, and cloud platforms.</li>\n<li>Configure and bring up complex software stacks and drivers on simulated hardware platforms.</li>\n<li>Collaborate with other development teams, IP owners, third-party suppliers, support engineers, and customers to identify, implement, and deliver solutions.</li>\n<li>Perform root-cause analysis and debugging across software and hardware boundaries.</li>\n<li>Integrate open-source multimedia and security utilities (e.g., FFmpeg, GStreamer, OpenSSL) into virtual prototypes.</li>\n<li>Enhance pre-silicon Virtual Platforms and models to enable early product development for global clients.</li>\n</ul>\n<p>Impact:</p>\n<ul>\n<li>Empower customers to accelerate product development cycles by providing robust virtual prototypes before hardware availability.</li>\n<li>Drive innovation in simulation solutions for next-generation electronic platforms.</li>\n<li>Enhance the quality and reliability of Synopsys&#39; Virtual Prototyping offerings for automotive, enterprise, and cloud markets.</li>\n<li>Facilitate seamless hardware-software integration and validation for global customers.</li>\n<li>Contribute to the advancement of open-source and proprietary technologies in embedded systems.</li>\n<li>Strengthen Synopsys&#39; position as a leader in chip design, verification, and IP integration.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>BS or MS in Computer Science, Electronics, or similar field.</li>\n<li>Strong programming skills, primarily in C and C++.</li>\n<li>Embedded software experience, ideally including Linux OS build, configuration, and debugging.</li>\n<li>Knowledge of IP implementation or driver development (Linux, RTOS, or bare-metal), especially for Virtio, MIPI (CSI/DSI/I3C), Security, DMA, SSI, I2C, or Mobile Storage.</li>\n<li>Strong understanding of hardware-software interaction.</li>\n<li>Experience with open-source build systems such as Buildroot or Yocto.</li>\n<li>Familiarity with open-source multimedia/security utilities such as FFmpeg, GStreamer, and OpenSSL.</li>\n<li>Python programming experience.</li>\n<li>Experience with SystemC and/or transaction-level modelling (TLM).</li>\n<li>Embedded software development on Arm cores/Arm architecture.</li>\n<li>Strong debugging and root-cause analysis skills.</li>\n</ul>\n<p>Who You Are:</p>\n<ul>\n<li>Innovative thinker with a passion for technology and continuous learning.</li>\n<li>Collaborative team player, able to work across diverse groups and cultures.</li>\n<li>Effective communicator, adept at translating complex technical concepts to stakeholders.</li>\n<li>Detail-oriented and committed to delivering high-quality solutions.</li>\n<li>Adaptable and resilient in fast-paced, evolving environments.</li>\n<li>Self-motivated, with strong analytical and problem-solving skills.</li>\n</ul>\n<p>Rewards and Benefits:</p>\n<p>We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_2a648d1c-583","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Synopsys","sameAs":"https://careers.synopsys.com","logo":"https://logos.yubhub.co/careers.synopsys.com.png"},"x-apply-url":"https://careers.synopsys.com/job/moreira/staff-engineer-virtual-prototyping/44408/92616533056","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["C","C++","Linux OS","IP implementation","driver development","Virtio","MIPI","Security","DMA","SSI","I2C","Mobile Storage","open-source build systems","Buildroot","Yocto","FFmpeg","GStreamer","OpenSSL","Python","SystemC","transaction-level modelling","TLM","embedded software development","Arm cores","Arm architecture","debugging","root-cause analysis"],"x-skills-preferred":[],"datePosted":"2026-04-05T13:23:03.491Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Moreira"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C, C++, Linux OS, IP implementation, driver development, Virtio, MIPI, Security, DMA, SSI, I2C, Mobile Storage, open-source build systems, Buildroot, Yocto, FFmpeg, GStreamer, OpenSSL, Python, SystemC, transaction-level modelling, TLM, embedded software development, Arm cores, Arm architecture, debugging, root-cause analysis"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_455b32d6-da0"},"title":"IP Verification (USB)- Staff Engineer","description":"<p>Our Hardware Engineers at Synopsys are responsible for designing and developing cutting-edge semiconductor solutions. They work on intricate tasks such as chip architecture, circuit design, and verification to ensure the efficiency and reliability of semiconductor products. These engineers play a crucial role in advancing technology and enabling innovations in various industries.</p>\n<p>We Are:\nAt Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.</p>\n<p>You Are:\nYou are an accomplished verification engineer with a passion for excellence and a track record of delivering robust, high-quality IP solutions. You thrive in a fast-paced, dynamic environment and are excited by the opportunity to work on next-generation connectivity protocols that power commercial, enterprise, and automotive applications. With a solid foundation in Electrical/Electronics Engineering (BSEE with 5+ years or MSEE with 3+ years of relevant experience), you bring deep expertise in System Verilog and industry-standard verification methodologies such as UVM/OVM/VMM. Your hands-on experience developing HVL-based test environments and extracting meaningful verification metrics sets you apart as a technical leader.</p>\n<p>You are a collaborative team player who values knowledge sharing and actively contributes to a culture of continuous improvement. Your familiarity with protocols like MIPI-I3C, UFS, AMBA, Ethernet, DDR, PCIe, and USB allows you to quickly ramp up on new projects and deliver results. You bring a strong analytical mindset, exceptional debugging skills, and a drive to meet and exceed quality metrics. Experienced with scripting languages like Perl, TCL, and Python, you automate processes for efficiency and scalability. Your strong communication skills, initiative, and global perspective enable you to work effectively with cross-functional and multi-site teams. Above all, you are a lifelong learner who embraces challenges, adapts to new technologies, and is committed to shaping the future of silicon design.</p>\n<p>What You’ll Be Doing:\nSpecify, architect, and implement advanced verification environments for DesignWare IP cores using System Verilog and state-of-the-art methodologies.\nDevelop and execute comprehensive test plans, ensuring coverage of unit-level and system-level requirements.\nDesign, code, and debug testbenches, test cases, and functional coverage models to validate complex IP functionalities.\nPerform functional coverage analysis and manage regression testing to achieve and maintain required quality metrics.\nCollaborate closely with RTL designers and global verification teams to resolve issues and drive verification closure.\nLeverage scripting (Perl, TCL, Python) to automate verification flows, streamline processes, and enhance productivity.\nContribute to the development and refinement of verification methodologies, including VIP development and formal verification approaches.</p>\n<p>The Impact You Will Have:\nEnsure the delivery of high-quality, robust IP cores that power critical applications in commercial, enterprise, and automotive markets.\nDrive innovation in verification methodologies, setting new standards for efficiency and coverage.\nEnhance time-to-market by identifying and resolving design and verification issues early in the development cycle.\nStrengthen Synopsys’ reputation as a leader in silicon IP and verification through technical excellence and customer focus.\nMentor and support junior engineers, fostering a culture of learning and continuous improvement.\nContribute to the success of global, multi-site R&amp;D teams by providing expertise and driving cross-functional collaboration.</p>\n<p>What You’ll Need:\nBSEE with 5+ years or MSEE with 3+ years of relevant experience in ASIC or IP verification.\nExpertise in developing HVL (System Verilog)-based verification environments and testbenches.\nStrong hands-on experience with industry-standard simulators (VCS, NC, MTI) and debugging tools.\nProficiency in verification methodologies such as UVM, OVM, or VMM; exposure to formal verification is highly desirable.\nSolid understanding of protocols such as MIPI-I3C/UFS/Unipro, AMBA, SD/eMMC, Ethernet, DDR, PCIe, USB.\nFamiliarity with scripting languages (Perl, TCL, Python) and HDLs (Verilog); experience with VIP development is a plus.\nDemonstrated ability to work with functional coverage-driven methodologies and quality metric goals.</p>\n<p>Who You Are:\nAnalytical thinker with strong problem-solving and debugging skills.\nExcellent verbal and written communication abilities.\nTeam player who thrives in collaborative, multi-site environments.\nProactive, self-motivated, and able to take initiative on challenging projects.\nDetail-oriented, quality-focused, and driven by a desire to excel.\nAdaptable and eager to continuously learn and apply new technologies.</p>\n<p>The Team You’ll Be A Part Of:\nYou will join the Solutions Group’s DesignWare IP Verification R&amp;D team, a highly skilled and diverse group of engineers dedicated to delivering world-class IP cores for next-generation connectivity. The team operates in a collaborative, multi-site environment, leveraging global expertise to solve complex verification challenges. Together, you will drive innovation, share knowledge, and uphold Synopsys’ reputation for technical leadership and excellence.</p>\n<p>Rewards and Benefits:\nWe offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.</p>\n<p>At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.</p>\n<p>A peek inside our office</p>\n<p>Benefits:\nAt Synopsys, innovation is driven by our incredible team around the world. We feel honored to work alongside such talented and passionate individuals who choose to make a difference here every day. We&#39;re proud to provide the comprehensive benefits and rewards that our team truly deserves.</p>\n<p>Visit Benefits Page</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_455b32d6-da0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Synopsys","sameAs":"https://careers.synopsys.com","logo":"https://logos.yubhub.co/careers.synopsys.com.png"},"x-apply-url":"https://careers.synopsys.com/job/bengaluru/ip-verification-usb-staff-engineer/44408/92684730560","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["System Verilog","UVM/OVM/VMM","HVL-based test environments","Industry-standard simulators (VCS, NC, MTI)","Debugging tools","Functional coverage-driven methodologies","Quality metric goals","MIPI-I3C","UFS","AMBA","Ethernet","DDR","PCIe","USB","Perl","TCL","Python","VIP development","Formal verification"],"x-skills-preferred":[],"datePosted":"2026-04-05T13:23:02.691Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"System Verilog, UVM/OVM/VMM, HVL-based test environments, Industry-standard simulators (VCS, NC, MTI), Debugging tools, Functional coverage-driven methodologies, Quality metric goals, MIPI-I3C, UFS, AMBA, Ethernet, DDR, PCIe, USB, Perl, TCL, Python, VIP development, Formal verification"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ec579fde-89b"},"title":"R&D Engineering, Architect- FPGA Design-PCIe Protocol","description":"<p>You are a visionary engineering leader with deep expertise in FPGA design and advanced protocol integration, ready to architect and deliver solutions that bridge real-world interfaces with cutting-edge emulation and prototyping platforms.</p>\n<p>Designing, developing, and maintaining Speed Adapter solutions for advanced protocols, including PCIe and CXL.\nImplementing protocol functionality on FPGA-based platforms to bridge real-world I/O with DUTs running at reduced speeds on emulation and prototyping systems.\nCollaborating with IP, emulation, and prototyping teams to deliver comprehensive, end-to-end system-level validation solutions.\nDeveloping and debugging RTL, firmware, and system-level components for Speed Adapter products.\nSupporting seamless integration with ZeBu and HAPS platforms, including creating example designs and reference flows.\nParticipating in customer escalations, conducting root-cause analysis, and delivering solutions for complex system-level issues.\nContributing to roadmap planning, feature definition, and technical differentiation versus competitive solutions.</p>\n<p>Enable customers to connect pre-silicon designs to real devices, testers, and hosts with unmatched fidelity and performance.\nAdvance industry-leading system-level validation technology for top semiconductor and hyperscale customers.\nShape the adoption and implementation of next-generation protocols such as PCIe Gen6/Gen7 and CXL3.x/4.0.\nDrive innovation in hardware-assisted verification, influencing patent-pending technologies that differentiate Synopsys solutions.\nEnhance integration across IP, emulation, prototyping, and real-world connectivity to deliver robust validation platforms.\nSupport global teams and customers, fostering technical excellence and collaborative problem-solving.</p>\n<p>12 years+ relevant experience\nBachelor&#39;s or Master&#39;s degree in Electrical Engineering, Computer Engineering, or related field.\nStrong hands-on experience with PCIe and/or CXL protocols, including implementation and debugging.\nSolid understanding of digital design, RTL development, and FPGA-based systems.\nExperience with system-level validation, emulation, or prototyping environments.\nFamiliarity with high-speed serial interfaces and real-world I/O connectivity.\nStrong debugging skills across RTL, firmware, and hardware/software boundaries.\nAbility to work effectively in a cross-geography, cross-functional team.</p>\n<p>Innovative thinker with a strategic mindset.\nCollaborative team player who values diverse perspectives.\nExcellent communicator and technical mentor.\nResilient problem-solver, able to navigate ambiguity and complexity.\nCustomer-focused, with a commitment to delivering high-impact solutions.\nAdaptable and proactive, eager to stay ahead in a fast-evolving technology landscape.</p>\n<p>You&#39;ll join the Speed Adapter engineering team within Synopsys&#39; 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They work on assignments like designing, developing, and troubleshooting software, leveraging the state-of-the-art technologies like AI/ML, GenAI and Cloud. Their critical contributions enable world-wide EDA designers to extend the frontiers of semiconductors and chip development.</p>\n<p>We are seeking a Senior Engineer to join our R&amp;D engineering team focused on virtual platform development and enhancement using Synopsys Virtualizer. 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