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As a Software Engineer on our Agent Engine team, you will lead the technical architecture of Spotify&#39;s Agent Engine, a shared runtime that powers agent-based experiences across the platform. You will guide the transition of existing agent-powered features into a unified system, balancing speed, reliability, and real-world product constraints. 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For this role, you can be within the North America region as long as we have a work location</li>\n<li>This team operates within the Eastern Standard time zone for collaboration</li>\n</ul>\n<p>Additional Information:</p>\n<ul>\n<li>The United States base range for this position is $281,196 - $401,709 plus equity</li>\n<li>The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave</li>\n<li>These ranges may be modified in the future</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_289751ab-e73","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Spotify","sameAs":"https://www.spotify.com","logo":"https://logos.yubhub.co/spotify.com.png"},"x-apply-url":"https://jobs.lever.co/spotify/19649848-0388-4311-a184-067d9ae77cf3","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$281,196 - $401,709","x-skills-required":["agent orchestration","LLM infrastructure","evaluation systems","data pipelines for machine learning","system design","infrastructure","machine learning","agent capabilities","recommendations","search","catalog","production-ready AI systems","experimentation","observability","performance optimization","technical standards"],"x-skills-preferred":[],"datePosted":"2026-04-24T12:15:50.707Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York City"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"agent orchestration, LLM infrastructure, evaluation systems, data pipelines for machine learning, system design, infrastructure, machine learning, agent capabilities, recommendations, search, catalog, production-ready AI systems, experimentation, observability, performance optimization, technical standards","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":281196,"maxValue":401709,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ae742427-c8d"},"title":"Staff Android Engineer (Clients Platform)","description":"<p>We&#39;re seeking a Staff Android Engineer to join our Android Platform team. As a technical leader, you will focus on three pillars: Client Health, Developer Experience, and App Architecture. Your responsibilities will include owning and shaping the architecture of Reddit&#39;s Android App, improving Android developer experience, defining and operationalizing guardrails, building and evolving Android client health and observability foundations, and mentoring and supporting Android engineers.</p>\n<p>Key requirements include 8+ years of software development experience, at least 4+ years in designing/developing Android applications, experience working in a large codebase serving 100+ engineers and millions of DAUs, mastery of modern Android development, strong background in Android platform/infrastructure, practical experience applying AI to engineering workflows, and proven ability to lead cross-functional initiatives and influence technical direction across multiple teams.</p>\n<p>Benefits include comprehensive healthcare benefits, income replacement programs, 401k with employer match, global benefit programs, family planning support, gender-affirming care, mental health &amp; coaching benefits, flexible vacation &amp; paid volunteer time off, and generous paid parental leave.</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_ae742427-c8d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Reddit","sameAs":"https://www.redditinc.com","logo":"https://logos.yubhub.co/redditinc.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/reddit/jobs/7833378","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$217,000-$303,900 USD","x-skills-required":["Android development","Java/Kotlin programming","Android architecture","Android performance optimization","Android testing","Agile software development","Cloud infrastructure","Containerization","Kubernetes","DevOps"],"x-skills-preferred":["Machine learning","Artificial intelligence","Data science","Cloud computing","CI/CD pipelines","Continuous integration","Continuous deployment"],"datePosted":"2026-04-24T12:15:43.524Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Android development, Java/Kotlin programming, Android architecture, Android performance optimization, Android testing, Agile software development, Cloud infrastructure, Containerization, Kubernetes, DevOps, Machine learning, Artificial intelligence, Data science, Cloud computing, CI/CD pipelines, Continuous integration, Continuous deployment","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":217000,"maxValue":303900,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_670842f5-3b6"},"title":"Senior Program Analyst","description":"<p>Sell what you love. For us and millions of users across the globe, that’s Spotify. Join the Sales team and you’ll build the relationships that help grow our business in existing markets and beyond. We don’t just sell creative solutions to our clients and partners, we help to shape them; using our expert knowledge of ad products, sales channels and the industry to impact the way the world experiences music and podcasts.</p>\n<p>Our Revenue Growth team drives advertiser acquisition and retention at scale by turning data into action. We build and run scalable go-to-market programs that help advertisers succeed, through lifecycle communications and seller-facing actions.</p>\n<p>As a Senior Program Analyst, you’ll use analysis to uncover what drives advertiser growth and retention, then design and launch measurable programs (automated emails, in-product messaging, and prioritized seller actions) that improve performance and revenue.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Work on problems that drive revenue, require business judgment, and impact advertisers at scale.</li>\n<li>Develop and run lifecycle programs that improve advertiser activation, retention, and revenue. Define audiences, messaging, and timing across channels like email, in-product surfaces, and seller outreach, and continuously refine based on performance.</li>\n<li>Turn advertiser and campaign signals into clear, actionable recommendations for Sales and Customer Success teams. Partner with product and tooling teams to embed these actions directly into seller workflows.</li>\n<li>Use SQL to identify opportunities, size impact, and evaluate results. Design and run practical experiments, including A/B tests, to validate ideas and optimize go-to-market efforts for incremental revenue growth.</li>\n<li>Partner across Sales, Marketing, Product, and Insights to bring programs to market, navigate tradeoffs, and improve adoption. Help ensure a consistent and seamless advertiser experience across all touchpoints.</li>\n<li>Apply AI tools thoughtfully to improve speed, scale, and consistency in execution, including drafting, summarization, and personalization, with clear quality checks and success metrics in place.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>5+ years of experience in growth/marketing analytics, lifecycle/CRM, strategy &amp; ops, consulting, or product/growth roles with clear business impact.</li>\n<li>Advertising Fluency: experience with digital advertising and performance optimization (agency, ad-tech/platform, publisher, or in-house).</li>\n<li>Structured thinker: you can break down messy problems into clear frameworks, tradeoffs, and action plans.</li>\n<li>Strong analytical foundation: advanced SQL and comfort working with large datasets to answer ambiguous questions.</li>\n<li>Execution-oriented operator: you can turn an insight into a shipped program, align cross-functional stakeholders, and drive adoption through launch and iteration.</li>\n<li>Applied AI (nice to have): you’ve used AI tools in business workflows, with disciplined measurement and a focus on scaled adoption.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Health insurance</li>\n<li>Six-month paid parental leave</li>\n<li>401(k) retirement plan</li>\n<li>Monthly meal allowance</li>\n<li>23 paid days off</li>\n<li>13 paid flexible holidays</li>\n<li>Paid sick leave</li>\n</ul>\n<p><strong>Salary</strong></p>\n<p>The United States base range for this position is $92,293 - 131,847, plus equity.</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_670842f5-3b6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Spotify","sameAs":"https://www.spotify.com","logo":"https://logos.yubhub.co/spotify.com.png"},"x-apply-url":"https://jobs.lever.co/spotify/ca78242e-f174-4c52-a630-960ca4bf24c3","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$92,293 - 131,847","x-skills-required":["SQL","digital advertising","performance optimization","growth/marketing analytics","lifecycle/CRM","strategy & ops","consulting","product/growth"],"x-skills-preferred":[],"datePosted":"2026-04-24T12:15:30.770Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York City"}},"employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"SQL, digital advertising, performance optimization, growth/marketing analytics, lifecycle/CRM, strategy & ops, consulting, product/growth","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":92293,"maxValue":131847,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1b25d050-af6"},"title":"Software Engineer II","description":"<p>Aligned with Microsoft’s mission to empower every person and every organization on the planet to achieve more, Microsoft Shopping delights customers with confidence, convenience, and savings,anywhere. With the power of AI, we’re building best-in-class shopping experiences that span across Copilot, Edge, Bing, MSN, and Windows, helping customers discover, evaluate, and decide with speed and trust.</p>\n<p>We’re looking for a Software Engineer II (Frontend/Full Stack) to help shape the future of AI-powered shopping in Copilot. This role is full-stack in the truest sense,you’ll collaborate across design, product, and engineering to deliver end-to-end experiences,but the center of gravity is the front end: building modern, convenient user interfaces that feel fast, polished, and reliable at scale.</p>\n<p>You should be fluent in at least one of our primary client stacks,Web, Kotlin, or Swift,and excited about moving across surfaces and tiers as the product demands. Some weeks that might mean shipping a high-impact UI iteration; other weeks it might mean partnering on service integrations, tightening API contracts, or improving performance and telemetry so we can measure what matters.</p>\n<p>We want an engineer who can jump in, learn quickly, and ship,someone who thinks like an owner, sweats the details, and can connect customer experience to engineering fundamentals. If you’re passionate about building delightful consumer experiences, iterating quickly with data and experimentation, and operating at the intersection of AI and shopping, this is a chance to work on a fast-moving product with real visibility and impact,while being part of a team that values clarity, craftsmanship, and collaborative execution.</p>\n<p>Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p>\n<p>Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Build and ship Copilot Shopping experiences end-to-end, with a solid emphasis on frontend quality (UX polish, accessibility, performance, reliability).</li>\n<li>Work across the full architecture: client (web/mobile), services/APIs, data contracts, telemetry/experimentation, and operational tooling.</li>\n<li>Partner with Product, Design, and Data Science to define success metrics, instrument telemetry, run experiments, and iterate based on results.</li>\n<li>Design and implement reusable UI components and client patterns, while also contributing to backend and service integration work as needed.</li>\n<li>Drive engineering excellence through code reviews, automated testing, CI/CD hygiene, and performance profiling.</li>\n<li>Own live-site quality for the areas you build: monitoring, alerting, incident response, and improvements that reduce time-to-diagnosis.</li>\n<li>Contribute to team growth through collaboration, documentation, and solid engineering practices.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Bachelor’s Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.</li>\n<li>2+ years of professional software engineering experience building customer-facing applications.</li>\n<li>Meaningful frontend and full-stack ownership delivering polished, performant user experiences across web and/or mobile surfaces (Kotlin/Swift/web).</li>\n<li>Experience integrating clients with backend systems via client–server contracts (e.g., REST/JSON, GraphQL, SSE/WebSockets) and collaborating on API/data contract design.</li>\n<li>Demonstrated ability to debug and troubleshoot client issues and drive performance optimizations for high quality user experiences.</li>\n<li>Experience building accessible applications that follow WCAG and ADA specifications.</li>\n<li>Solid collaboration skills and data-driven execution: work effectively with engineers, PM, design, and partner teams; instrument telemetry and use data to iterate.</li>\n</ul>\n<p>#MicrosoftAI</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_1b25d050-af6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/software-engineer-ii-28/","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$85,000 - $166,800 per year","x-skills-required":["C","C++","C#","Java","JavaScript","Python","Web development","Kotlin","Swift","REST/JSON","GraphQL","SSE/WebSockets","API/data contract design","WCAG and ADA specifications"],"x-skills-preferred":["Frontend development","Full-stack development","Client-server contracts","Performance optimization","Telemetry and experimentation"],"datePosted":"2026-04-24T12:15:20.553Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Vancouver"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C, C++, C#, Java, JavaScript, Python, Web development, Kotlin, Swift, REST/JSON, GraphQL, SSE/WebSockets, API/data contract design, WCAG and ADA specifications, Frontend development, Full-stack development, Client-server contracts, Performance optimization, Telemetry and experimentation","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":85000,"maxValue":166800,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c6245af0-e69"},"title":"Technical Art Director","description":"<p>Directly reporting to the Producer, the Technical Art Director is responsible for research, innovation, and the technical quality of the production.</p>\n<p><strong>Main Responsibilities:</strong> Develop and implement technology roadmaps tailored to the specific needs of the project; Identify potential risks and report them to management; Act as a reference for the team in all matters related to Technical Art and provide solutions to complex issues; Optimize content to improve memory usage and performance; Contribute to asset development and rendering (models, shaders, textures) when necessary; Communicate effectively and encourage open dialogue within the team; Stay up to date with current and emerging trends and methodologies in graphics software and hardware (including generative AI) to anticipate tooling and workflow needs.</p>\n<p><strong>Qualifications:</strong> Solid experience as a Technical Art Director on AAA or AA productions, across pre-production, production, and early stages of a multiplayer game developed with Unreal Engine 5; Significant experience with Unreal Engine (Nanite, Chaos, Landscape, Blueprint, Megalights, Insights), along with a strong understanding of realistic art workflows and production pipelines; Experience worked on a wide range of world-building topics such as level art, destruction systems (e.g., Chaos), lighting, props, level design, landscapes, water, etc.; Strong technical skills in performance, optimization, pipelines, and a solid understanding of replication challenges; Proficient in at least one 3D modeling software (Blender, 3DS Max, Substance Designer, Maya, etc.) as well as generative AI tools (ComfyUI, MidJourney, NanoBanana, Hunyuan, etc.); Solid scripting skills (Maxscript, Python, etc.);</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_c6245af0-e69","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Ubisoft","sameAs":"https://www.ubisoft.com/","logo":"https://logos.yubhub.co/ubisoft.com.png"},"x-apply-url":"https://jobs.smartrecruiters.com/Ubisoft2/744000121811897-technical-art-director-w-m-nb-aaa-project-","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Unreal Engine","3D modeling software","Generative AI tools","Scripting skills","Performance optimization"],"x-skills-preferred":[],"datePosted":"2026-04-24T12:14:38.480Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Annecy"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Unreal Engine, 3D modeling software, Generative AI tools, Scripting skills, Performance optimization"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_18ab3b67-c62"},"title":"Senior Software Engineer – PyTorch and AI Frameworks","description":"<p>We are looking for experienced engineers to help build and scale next-generation AI infrastructure using PyTorch, one of the world&#39;s most widely used deep learning frameworks. This role sits at the intersection of machine learning systems, compilers, and high-performance computing, enabling researchers and product teams to train and deploy large-scale models efficiently.</p>\n<p>You will work on core components of the PyTorch ecosystem, including model execution, distributed training, performance optimization, and developer experience.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design and build core PyTorch capabilities across runtime, autograd, distributed training, and model execution</li>\n<li>Optimize performance across GPU/accelerator backends (CUDA, Triton, etc.)</li>\n<li>Contribute to or lead development of large-scale ML systems and infrastructure</li>\n<li>Improve model training efficiency, scalability, and reliability across multi-node environments</li>\n<li>Work on compilers / graph transformations / kernel optimization to accelerate deep learning workloads</li>\n<li>Partner with researchers and applied teams to translate cutting-edge models into production systems</li>\n<li>Drive open-source contributions and collaborate with the broader PyTorch community</li>\n<li>Influence roadmap and architecture for next-gen AI platforms</li>\n<li>Work at the forefront of AI and accelerated computing</li>\n<li>Direct impact on how PyTorch runs on the world&#39;s most advanced GPU platforms</li>\n<li>Collaborate across hardware, systems software, and AI research to push performance boundaries and enable breakthroughs in generative AI, autonomous systems, and high-performance computing</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>PhD or MSc degree in Computer Science, Applied Math, Physics, or related science or engineering field (or equivalent experience)</li>\n<li>8+ years of software development experience</li>\n<li>Strong programming skills in C++ and Python</li>\n<li>Deep understanding of deep learning frameworks, preferably PyTorch</li>\n<li>Experience with GPU programming (CUDA or similar) and performance optimization</li>\n</ul>\n<p>Preferred qualifications:</p>\n<ul>\n<li>Contributions to PyTorch core or ecosystem libraries</li>\n<li>Experience with NVIDIA AI stack (TensorRT, Triton Inference Server, cuBLAS, cuDNN, NCCL)</li>\n<li>Familiarity with ML compilers (TorchInductor, Triton, XLA, TVM)</li>\n<li>Experience optimizing LLMs or large-scale recommendation / vision models</li>\n<li>Background working closely with hardware-aware software optimization</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Competitive salaries</li>\n<li>Generous benefits package</li>\n<li>Eligible for equity</li>\n</ul>\n<p>Application deadline: April 27, 2026</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_18ab3b67-c62","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://www.nvidia.com/","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Software-Engineer---PyTorch-and-AI-Frameworks_JR2016912","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["PyTorch","C++","Python","GPU programming","performance optimization"],"x-skills-preferred":["PyTorch core","NVIDIA AI stack","ML compilers","LLMs","large-scale recommendation / vision models"],"datePosted":"2026-04-24T12:14:28.799Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Santa Clara"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"PyTorch, C++, Python, GPU programming, performance optimization, PyTorch core, NVIDIA AI stack, ML compilers, LLMs, large-scale recommendation / vision models"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_450bbd4c-121"},"title":"Principal Software Engineer","description":"<p>The Bing Multimedia team is shaping the next generation of AI-powered visual discovery, helping people explore, understand, and make decisions through images at global scale. We build the intelligent systems that power Bing Image Search and multimodal experiences across Microsoft’s AI ecosystem.</p>\n<p>As a Principal Software Engineer on the Image Search Experience team, you will define and build AI-native platforms that combine multimodal understanding, large language models, and high-performance distributed systems to deliver rich, adaptive visual experiences. You will work across system architecture, core services, and experience-level intelligence to enable new ways for users to search, explore, and interact with visual information.</p>\n<p>This role offers the opportunity to operate at the highest level of individual contribution: setting technical direction, shaping foundational systems, and delivering production-grade AI experiences used by millions of people worldwide.</p>\n<p>Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Set technical direction for AI-powered image search, shaping how intelligent systems understand user intent, adapt to context, and deliver meaningful visual experiences at global scale.</li>\n</ul>\n<ul>\n<li>Own high-impact product and platform areas end to end, translating complex user needs into durable system designs and production-ready solutions.</li>\n</ul>\n<ul>\n<li>Apply large language models and multimodal AI in production, integrating reasoning and grounding capabilities to improve relevance, usefulness, and overall experience quality.</li>\n</ul>\n<ul>\n<li>Enable intelligent, adaptive experiences, ensuring image search systems make holistic decisions that guide users through exploration, refinement, and decision-making.</li>\n</ul>\n<ul>\n<li>Design and operate scalable platforms, driving high standards for performance, reliability, and efficiency under real-world workloads.</li>\n</ul>\n<ul>\n<li>Define success metrics and experimentation strategies, using data and user feedback to validate impact, guide tradeoffs, and inform long-term technical direction.</li>\n</ul>\n<ul>\n<li>Influence across teams and raise the engineering bar, partnering with product, design, data science, and platform teams, mentoring engineers, and guiding architecture and design reviews.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.</li>\n</ul>\n<ul>\n<li>Additional or Preferred Qualifications: Master’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, 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You should have experience working towards a multi-year vision with incremental deliverables, motivated by delivering customer value and impact.</p>\n<p>The pay range for this role is $192,000-$260,000 USD, and the total compensation package may also include eligibility for annual performance bonus, equity, and benefits.</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_90b4c10b-948","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/6544386002","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$192,000-$260,000 USD","x-skills-required":["database systems","storage systems","distributed systems","language design","performance optimization","query compilation and optimization","distributed query execution and scheduling","vectorized execution engine","data security","resource management","transaction coordination","efficient storage structures"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:43:13.600Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"database systems, storage systems, distributed systems, language design, performance optimization, query compilation and optimization, distributed query execution and scheduling, vectorized execution engine, data security, resource management, transaction coordination, efficient storage structures","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":192000,"maxValue":260000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3b359ef2-6f8"},"title":"Machine Learning Systems Engineer, Research Tools","description":"<p>We are seeking an experienced Machine Learning Systems Engineer to join our Encodings and Tokenization team at Anthropic. This cross-functional role will be instrumental in developing and optimizing the encodings and tokenization systems used throughout our Finetuning workflows. As a bridge between our Pretraining and Finetuning teams, you&#39;ll build critical infrastructure that directly impacts how our models learn from and interpret data.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design, develop, and maintain tokenization systems used across Pretraining and Finetuning workflows</li>\n<li>Optimize encoding techniques to improve model training efficiency and performance</li>\n<li>Collaborate closely with research teams to understand their evolving needs around data representation</li>\n<li>Build infrastructure that enables researchers to experiment with novel tokenization approaches</li>\n<li>Implement systems for monitoring and debugging tokenization-related issues in the model training pipeline</li>\n<li>Create robust testing frameworks to validate tokenization systems across diverse languages and data types</li>\n<li>Identify and address bottlenecks in data processing pipelines related to tokenization</li>\n<li>Document systems thoroughly and communicate technical decisions clearly to stakeholders across teams</li>\n</ul>\n<p>You May Be a Good Fit If You:</p>\n<ul>\n<li>Have significant software engineering experience with demonstrated machine learning expertise</li>\n<li>Are comfortable navigating ambiguity and developing solutions in rapidly evolving research environments</li>\n<li>Can work independently while maintaining strong collaboration with cross-functional teams</li>\n<li>Are results-oriented, with a bias towards flexibility and impact</li>\n<li>Have experience with machine learning systems, data pipelines, or ML infrastructure</li>\n<li>Are proficient in Python and familiar with modern ML development practices</li>\n<li>Have strong analytical skills and can evaluate the impact of engineering changes on research outcomes</li>\n<li>Pick up slack, even if it goes outside your job description</li>\n<li>Enjoy pair programming (we love to pair!)</li>\n<li>Care about the societal impacts of your work and are committed to developing AI responsibly</li>\n</ul>\n<p>Strong Candidates May Also Have Experience With:</p>\n<ul>\n<li>Working with machine learning data processing pipelines</li>\n<li>Building or optimizing data encodings for ML applications</li>\n<li>Implementing or working with BPE, WordPiece, or other tokenization algorithms</li>\n<li>Performance optimization of ML data processing systems</li>\n<li>Multi-language tokenization challenges and solutions</li>\n<li>Research environments where engineering directly enables scientific progress</li>\n<li>Distributed systems and parallel computing for ML workflows</li>\n<li>Large language models or other transformer-based architectures (not required)</li>\n</ul>\n<p>The annual compensation range for this role is $320,000-$405,000 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_3b359ef2-6f8","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/4952079008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$320,000-$405,000 USD","x-skills-required":["Machine Learning","Software Engineering","Python","Data Pipelines","ML Infrastructure"],"x-skills-preferred":["BPE","WordPiece","Tokenization Algorithms","Performance Optimization","Distributed Systems"],"datePosted":"2026-04-18T15:42:42.125Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Software Engineering, Python, Data Pipelines, ML Infrastructure, BPE, WordPiece, Tokenization Algorithms, Performance Optimization, Distributed Systems","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":320000,"maxValue":405000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_18ae1499-b22"},"title":"Research Engineer, Discovery","description":"<p>As a Research Engineer on our team, you will work end-to-end across the whole model stack, identifying and addressing key infra blockers on the path to scientific AGI. Strong candidates should have familiarity with elements of language model training, evaluation, and inference and eagerness to quickly dive and get up to speed in areas they are not yet an expert on.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design and implement large-scale infrastructure systems to support AI scientist training, evaluation, and deployment across distributed environments</li>\n<li>Identify and resolve infrastructure bottlenecks impeding progress toward scientific capabilities</li>\n<li>Develop robust and reliable evaluation frameworks for measuring progress towards scientific AGI</li>\n<li>Build scalable and performant VM/sandboxing/container architectures to safely execute long-horizon AI tasks and scientific workflows</li>\n<li>Collaborate to translate experimental requirements into production-ready infrastructure</li>\n<li>Develop large scale data pipelines to handle advanced language model training requirements</li>\n<li>Optimize large scale training and inference pipelines for stable and efficient reinforcement learning</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>Have 6+ years of highly-relevant experience in infrastructure engineering with demonstrated expertise in large-scale distributed systems</li>\n<li>Are a strong communicator and enjoy working collaboratively</li>\n<li>Possess deep knowledge of performance optimization techniques and system architectures for high-throughput ML workloads</li>\n<li>Have experience with containerization technologies (Docker, Kubernetes) and orchestration at scale</li>\n<li>Have proven track record of building large-scale data pipelines and distributed storage systems</li>\n<li>Excel at diagnosing and resolving complex infrastructure challenges in production environments</li>\n<li>Can work effectively across the full ML stack from data pipelines to performance optimization</li>\n<li>Have experience collaborating with other researchers to scale experimental ideas</li>\n<li>Thrive in fast-paced environments and can rapidly iterate from experimentation to production</li>\n</ul>\n<p>Strong candidates may also have:</p>\n<ul>\n<li>Experience with language model training infrastructure and distributed ML frameworks (PyTorch, JAX, etc.)</li>\n<li>Background in building infrastructure for AI research labs or large-scale ML organizations</li>\n<li>Knowledge of GPU/TPU architectures and language model inference optimization</li>\n<li>Experience with cloud platforms (AWS, GCP) at enterprise scale</li>\n<li>Familiarity with VM and container orchestration</li>\n<li>Experience with workflow orchestration tools and experiment management systems</li>\n<li>History working with large scale reinforcement learning</li>\n<li>Comfort with large scale data pipelines (Beam, Spark, Dask, …)</li>\n</ul>\n<p>The annual compensation range for this role is $350,000-$850,000 USD.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a 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You will operate in a small, highly collaborative team where clarity, accountability, and impact matter.</p>\n<p>Hands-on experience building AI-powered features and using AI tools to improve engineering productivity is required.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Lead by example: contribute high-quality React code and set the standard for frontend craftsmanship across the platform</li>\n<li>Shape architecture: design scalable component systems, state management patterns, and frontend infrastructure that support long-term growth</li>\n<li>Mentor engineers: coach and support teammates through code reviews, design discussions, and problem-solving</li>\n<li>Own complex problems: drive investigation, debugging, and resolution of performance, rendering, and scalability challenges</li>\n<li>Drive execution: translate product and design requirements into clear technical designs and well-scoped Jira tickets</li>\n<li>Collaborate cross-functionally: work closely with product, design, and backend partners to deliver impactful, end-to-end solutions</li>\n<li>Establish best practices: improve standards around code quality, accessibility, performance, and reliability</li>\n<li>Champion improvement: introduce new tools, patterns, or approaches , including AI-enabled workflows , where they add real value</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>7+ years of professional software engineering experience, with a strong focus on building and owning modern frontend applications</li>\n<li>Deep expertise in React and modern JavaScript/TypeScript, including component architecture, state management, and frontend application design</li>\n<li>Experience using AI-assisted development tools such as Claude Code or Cursor to accelerate frontend development and improve engineering productivity</li>\n<li>Strong product and design sensibility, with a high bar for UI quality, usability, consistency, and craft</li>\n<li>Proven track record designing frontend architectures that scale across teams, products, and complex user workflows</li>\n<li>Strong knowledge of performance optimization, accessibility, responsive design, and modern frontend best practices</li>\n<li>Deep debugging and problem-solving skills in browser-based applications, with the ability to quickly identify and resolve issues across frontend-backend boundaries</li>\n<li>Proficiency with GitHub-based development workflows, including pull requests, code review practices, branching strategy, and CI/CD automation using GitHub Actions</li>\n<li>Ability to work effectively with backend systems and APIs, contributing where needed while keeping frontend excellence as the primary focus</li>\n<li>Experience as a technical leader who can drive frontend direction, mentor engineers, and raise the quality bar across the team</li>\n<li>Excellent communication skills and the ability to work closely with design, product, and engineering partners</li>\n</ul>\n<p>Nice to Have:</p>\n<ul>\n<li>Experience building or integrating AI-powered features</li>\n<li>Familiarity with LangGraph, LangChain, or similar agent-based frameworks</li>\n<li>Experience with data-rich UIs: dashboards, analytics, or complex data visualization</li>\n<li>Background in design systems or shared component libraries</li>\n<li>Experience with Cypress or end-to-end testing frameworks</li>\n<li>Background in DevOps and CI/CD practices</li>\n</ul>\n<p>Within Your First 6 Months:</p>\n<ul>\n<li>1 Month , Ramp up on systems, ship initial contributions, and build context across the platform and team.</li>\n<li>3 Months , Own features end-to-end, mentor peers, and influence frontend architecture decisions.</li>\n<li>6 Months , Lead a major frontend initiative, establish guardrails, and raise the bar on performance, scalability, and engineering practices , including thoughtful use of AI where valuable.</li>\n</ul>\n<p>Our Values:</p>\n<ul>\n<li>Humble experts</li>\n<li>Hungry for the opportunity</li>\n<li>Intellectually honest</li>\n<li>Operating as one happy team</li>\n</ul>\n<p>Awesome Benefits:</p>\n<ul>\n<li>Discretionary time off &amp; sick days</li>\n<li>Paid holidays</li>\n<li>Health insurance</li>\n<li>401(k) with employer matching</li>\n<li>Quarterly All-Hands meetings</li>\n<li>And much more!</li>\n</ul>\n<p>We are proud to be an equal opportunity workplace committed to building a team culture that celebrates learning, diversity and inclusion.</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_2cc0589e-956","directApply":true,"hiringOrganization":{"@type":"Organization","name":"WorkBoard","sameAs":"https://www.workboard.com/","logo":"https://logos.yubhub.co/workboard.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/workboard/jobs/8462238002","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$170k annual salary","x-skills-required":["React","JavaScript","TypeScript","Component architecture","State management","Frontend application design","AI-assisted development tools","GitHub-based development workflows","CI/CD automation","Backend systems and APIs","Technical leadership","Mentoring","Code reviews","Design discussions","Problem-solving","Performance optimization","Accessibility","Responsive design","Modern frontend best practices"],"x-skills-preferred":["LangGraph","LangChain","Agent-based frameworks","Data-rich UIs","Dashboards","Analytics","Complex data visualization","Design systems","Shared component libraries","Cypress","End-to-end testing frameworks","DevOps","CI/CD practices"],"datePosted":"2026-04-17T16:37:44.403Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States - Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"React, JavaScript, TypeScript, Component architecture, State management, Frontend application design, AI-assisted development tools, GitHub-based development workflows, CI/CD automation, Backend systems and APIs, Technical leadership, Mentoring, Code reviews, Design discussions, Problem-solving, Performance optimization, Accessibility, Responsive design, Modern frontend best practices, LangGraph, LangChain, Agent-based frameworks, Data-rich UIs, Dashboards, Analytics, Complex data visualization, Design systems, Shared component libraries, Cypress, End-to-end testing frameworks, DevOps, CI/CD practices","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":170000,"maxValue":170000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e76d073c-1af"},"title":"Social Media Marketing – Future Opportunities","description":"<p>About Wonderschool</p>\n<p>Wonderschool&#39;s mission is to ensure every child has access to early childhood education that helps them realize their full potential.</p>\n<p>We empower small business owners,child care providers,to launch and grow in-home programs through cutting-edge software, personalized coaching, and responsive support. We also partner with governments to modernize public child care infrastructure.</p>\n<p>About This Future Opportunity</p>\n<p>As we continue to grow, we&#39;re interested in connecting with Social Media Managers who are passionate about storytelling, community-building, and creating content that drives real-world impact. This posting is intended to build relationships with candidates for potential future openings and does not represent an active role at this time.</p>\n<p>This role focuses primarily on Instagram, with TikTok as a secondary channel, and is ideal for creators who love blending education, inspiration, and strategy to grow and engage audiences.</p>\n<p>What These Roles May Involve</p>\n<p>Depending on company needs, future Social Media Manager roles may include:</p>\n<ul>\n<li>Content Strategy &amp; Creation</li>\n</ul>\n<p>Developing and executing a high-quality content strategy for Instagram and TikTok aligned with Wonderschool’s mission</p>\n<p>Creating engaging, inspiring, and educational content (Reels, Stories, TikToks, carousels, etc.)</p>\n<p>Crafting content that inspires child care providers to pursue high-quality programs and financial freedom</p>\n<p>Developing parenting content that encourages and supports caregivers</p>\n<p>Creating messaging that empowers educators to grow their income and careers</p>\n<p>Staying current on trends in early education, neuroscience, finance, and digital marketing</p>\n<ul>\n<li>Community Growth &amp; Engagement</li>\n</ul>\n<p>Building and nurturing an engaged community through comments, DMs, and conversations</p>\n<p>Developing relationships with influencers, educators, and child care advocates</p>\n<p>Identifying and testing growth strategies to increase followership, particularly among women aged 20–30</p>\n<p>Leveraging user-generated content and collaborations to expand brand reach</p>\n<ul>\n<li>Analytics &amp; Performance Optimization</li>\n</ul>\n<p>Tracking and analyzing performance metrics (engagement, reach, follower growth, etc.)</p>\n<p>Running experiments to optimize content formats, hashtags, and posting cadence</p>\n<p>Sharing regular insights and recommendations to improve performance and impact</p>\n<p>What We’re Generally Looking For</p>\n<p>Strong storytelling skills and the ability to adapt messaging for different audiences</p>\n<p>Proven experience growing and managing Instagram and TikTok accounts</p>\n<p>Deep understanding of social media trends, formats, and best practices</p>\n<p>Data-driven mindset with comfort analyzing and optimizing performance</p>\n<p>Experience with social media management tools (e.g., Later, Sprout Social, Hootsuite)</p>\n<p>Passion for education, child care, and financial empowerment</p>\n<p>Comfort working independently with high ownership and creativity</p>\n<p>Compensation (Future Opportunities – California)</p>\n<p>For future Social Media Manager roles based in California, the expected compensation range will vary depending on scope, level, and employment type (full-time, part-time, or contract). A good-faith base pay range will be shared if and when an active role becomes available. These roles may also be eligible for additional compensation and benefits depending on role structure.</p>\n<p>Additional Notes</p>\n<p>This is not an active job opening and does not guarantee an interview or offer</p>\n<p>Employment type, scope, level, and compensation may vary based on business needs</p>\n<p>Candidates may be contacted if and when a relevant opening becomes available</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_e76d073c-1af","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Wonderschool","sameAs":"https://www.wonderschool.com/","logo":"https://logos.yubhub.co/wonderschool.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/wonderschool/jobs/6475743003","x-work-arrangement":null,"x-experience-level":null,"x-job-type":null,"x-salary-range":null,"x-skills-required":["Content Strategy & Creation","Social Media Management","Digital Marketing","Storytelling","Community Building","Analytics & Performance Optimization"],"x-skills-preferred":["Later","Sprout Social","Hootsuite","Instagram","TikTok"],"datePosted":"2026-04-17T13:10:37.550Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"occupationalCategory":"Marketing","industry":"Education","skills":"Content Strategy & Creation, Social Media Management, Digital Marketing, Storytelling, Community Building, Analytics & Performance Optimization, Later, Sprout Social, Hootsuite, Instagram, TikTok"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_85118c18-c44"},"title":"Senior Engineer, XBAT Simulation Modeling","description":"<p>The Aircraft Simulation team turns frontier autonomy into mission-ready aircraft. 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_dfb22cd6-11a"},"title":"Staff Software Engineer - Online Storage","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. The Online Storage team is growing! We build the storage layer backing Plaid&#39;s Core Data Models used by all of engineering. The goal is to evolve Plaid&#39;s storage systems to be more reliable, scalable, performant, and efficient.</p>\n<p>As an engineer on the storage team, you will have the opportunity to influence the strategy of the team and design, deploy, and scale the online storage platform at Plaid. You will build services and tools to improve operation automations. You will optimize query performance and infrastructure cost. You will wield terraform and cloud resources with confidence and certainty. You will partner with our stakeholder teams to understand their current storage and future storage requirements. You will improve the user experience that partner teams have interacting with the storage platform.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Build and scale systems to support large datasets and high-throughput workloads with strong performance and reliability guarantees</li>\n<li>Design and evolve resilient, distributed storage systems that operate reliably</li>\n<li>Navigate ambiguity and drive clarity across complex storage and infrastructure challenges</li>\n<li>Diagnose and resolve deeply technical issues within storage engines, including analyzing internal behavior and, when necessary, diving into source code</li>\n<li>Lead careful, reliability-focused migrations that minimize risk and ensure seamless transitions for dependent systems</li>\n<li>Build foundational storage capabilities that significantly reduce friction for product engineers, enabling teams to move faster and more confidently</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Strong software engineering experience with deep focus on backend and/or platform systems</li>\n<li>Deep expertise in storage technologies</li>\n<li>Experience deploying and orchestrating databases at scale</li>\n<li>Strong background in database performance optimization, preferably with SQL databases</li>\n<li>Experience designing and evolving storage platforms</li>\n<li>Infrastructure experience with tools such as Terraform and AWS</li>\n<li>Hands-on experience with databases such as TiDB, MySQL, or MongoDB</li>\n<li>Experience building internal tooling and automation to improve reliability and developer efficiency</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Demonstrated curiosity about evolving storage technologies and performance optimization techniques</li>\n<li>Production experience with Go and TypeScript</li>\n<li>Experience applying security best practices in storage or infrastructure systems</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_dfb22cd6-11a","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/90b7be5b-30f3-43c0-b576-879065991072","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$207,600-$339,600 per year","x-skills-required":["storage technologies","database performance optimization","SQL databases","Terraform","AWS","TiDB","MySQL","MongoDB"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:52:22.974Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"storage technologies, database performance optimization, SQL databases, Terraform, AWS, TiDB, MySQL, MongoDB","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":207600,"maxValue":339600,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2cf203a5-5c5"},"title":"Platform Engineer, Document Intelligence","description":"<p>About Hebbia</p>\n<hr>\n<p>The AI platform for investors and bankers that generates alpha and drives upside.</p>\n<p>Founded in 2020 by George Sivulka and backed by Peter Thiel and Andreessen Horowitz, Hebbia powers investment decisions for BlackRock, KKR, Carlyle, Centerview, and 40% of the world’s largest asset managers. Our flagship product, Matrix, delivers industry-leading accuracy, speed, and transparency in AI-driven analysis. It is trusted to help manage over $30 trillion in assets globally.</p>\n<p>We deliver the intelligence that gives finance professionals a definitive edge. Our AI uncovers signals no human could see, surfaces hidden opportunities, and accelerates decisions with unmatched speed and conviction. We do not just streamline workflows. We transform how capital is deployed, how risk is managed, and how value is created across markets.</p>\n<p>Hebbia is not a tool. Hebbia is the competitive advantage that drives performance, alpha, and market leadership.</p>\n<hr>\n<p>The Team</p>\n<hr>\n<p>The Document Intelligence team at Hebbia builds cutting-edge AI solutions that transform how users discover and interact with billions of private and public documents. Our products, including the Hebbia’s Browse application, enable intelligent document exploration, powerful search capabilities, and deep insights extraction. We focus on developing advanced data ingestion and search technologies that deliver intuitive, explainable, and highly responsive experiences. Working closely with customers, our team continuously iterates to address real-world challenges and drive impactful, data-driven decisions. Our goal is to empower users by seamlessly turning vast and complex document repositories into actionable intelligence.</p>\n<hr>\n<p>The Role</p>\n<hr>\n<p>Platform engineering at Hebbia is about excellent, scalable enablement. You are responsible for the core distributed systems that power billions of tokens across millions of dollars of AUM. You will be responsible for deploying efficient systems and building software tightly coupled with state-of-the-art infrastructure/system design. Hebbia’s edge is built on operating on the edge of the tokenomics curve and you will serve as a key contributor in this area. We value engineers who think on their feet, innovate and can solve for exponential scale.</p>\n<hr>\n<p>Responsibilities</p>\n<hr>\n<ul>\n<li>Own critical system components: Take complex requirements and turn them into robust, scaled solutions that solve real customer needs.</li>\n<li>Unlock O(1) universal indexing: Build and iterate on our high-scale document build system that enables constant time latency for indexing any content in the world, regardless of data volume.</li>\n<li>Drive performance optimization: Architect and implement performance-tuning solutions to ensure our systems operate efficiently at scale, minimizing latency and maximizing throughput across millions of documents.</li>\n<li>Mentor and guide: Provide technical leadership, mentorship, and guidance to junior engineers, fostering a culture of learning and growth.</li>\n</ul>\n<hr>\n<p>Who You Are</p>\n<hr>\n<ul>\n<li>Bachelor&#39;s or Master&#39;s degree in Computer Science, Data Science, Statistics, or a related field. A strong academic background with coursework in data structures, algorithms, and software development is preferred.</li>\n<li>5+ years software development experience at a venture-backed startup or top technology firm, with a focus on distributed systems and platform engineering.</li>\n<li>Proficiency in building backend and distributed systems using technologies such as Python, Java, or Go.</li>\n<li>Deep understanding of scalable system design, performance optimization, and resilience engineering.</li>\n<li>Extensive experience with cloud platforms (e.g., AWS).</li>\n<li>Working experience with one or more of the following: Kafka, ElasticSearch, PostgreSQL, and/or Redis.</li>\n<li>Knowledge of workflow orchestration and execution platforms like Airflow, Temporal or Prefect.</li>\n<li>Proven experience enabling observability patterns.</li>\n<li>Ability to analyze complex problems, propose innovative solutions, and effectively communicate technical concepts to both technical and non-technical stakeholders.</li>\n<li>Proven experience in leading software development projects and collaborating with cross-functional teams. Strong interpersonal and communication skills to foster a collaborative and inclusive work environment.</li>\n<li>Enthusiasm for continuous learning and professional growth. A passion for exploring new technologies, frameworks, and software development methodologies.</li>\n<li>Autonomous and excited about taking ownership over major initiatives.</li>\n</ul>\n<hr>\n<p>Bonuses:</p>\n<ul>\n<li>Experience building distributed systems leveraging technologies such as etcd or Apache Zookeeper.</li>\n<li>Frequent user of AI products, especially during the development lifecycle (i.e. Cursor, Claude Code, etc).</li>\n</ul>\n<hr>\n<p>Compensation</p>\n<hr>\n<p>The salary range for this role is $160,000 to $300,000. This range may be inclusive of several career levels at Hebbia and will be narrowed during the interview process based on the candidate’s experience and qualifications. Adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description.</p>\n<hr>\n<p>Life @ Hebbia</p>\n<hr>\n<ul>\n<li>PTO: Unlimited</li>\n<li>Insurance: Medical + Dental + Vision + 401K</li>\n<li>Eats: Catered lunch daily + doordash dinner credit if you ever need to stay late</li>\n<li>Parental leave policy: 3 months non-birthing parent, 4 months for birthing parent</li>\n<li>Fertility benefits: $15k lifetime benefit</li>\n<li>New hire equity grant: competitive equity package with unmatched upside potential</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_2cf203a5-5c5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Hebbia","sameAs":"https://hebbia.com/","logo":"https://logos.yubhub.co/hebbia.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/hebbia/jobs/4584750005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$160,000 to $300,000","x-skills-required":["backend and distributed systems","Python","Java","Go","scalable system design","performance optimization","resilience engineering","cloud platforms","AWS","Kafka","ElasticSearch","PostgreSQL","Redis","workflow orchestration and execution platforms","Airflow","Temporal","Prefect","observability patterns"],"x-skills-preferred":["etcd","Apache Zookeeper","AI products","Cursor","Claude Code"],"datePosted":"2026-04-17T12:37:13.599Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York City; San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"backend and distributed systems, Python, Java, Go, scalable system design, performance optimization, resilience engineering, cloud platforms, AWS, Kafka, ElasticSearch, PostgreSQL, Redis, workflow orchestration and execution platforms, Airflow, Temporal, Prefect, observability patterns, etcd, Apache Zookeeper, AI products, Cursor, Claude Code","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":160000,"maxValue":300000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7419ab94-e4f"},"title":"Senior Software Engineer - Full Stack","description":"<p>About Cyngn</p>\n<p>Cyngn is a publicly-traded autonomous technology company that deploys self-driving industrial vehicles to factories, warehouses, and other facilities throughout North America.</p>\n<p>We are looking for a Senior Software Engineer - Full Stack to join our team. As a key member of our engineering team, you will play a crucial role in developing our innovative fleet management system for autonomous industrial vehicles.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Develop and maintain both backend and frontend components of our cloud-based fleet management system</li>\n<li>Collaborate with Backend and Frontend Tech Leads to implement new features and improve existing functionality</li>\n<li>Write clean, efficient, and maintainable code in languages such as Python, Go or Java for backend, and React, Redux and TypeScript for frontend</li>\n<li>Contribute to the design and implementation of RESTful APIs and real-time data processing pipelines</li>\n<li>Assist in developing and optimizing database schemas and queries for both SQL and NoSQL databases</li>\n<li>Implement responsive and intuitive user interfaces</li>\n<li>Contribute to the development of advanced mapping features and geospatial data processing</li>\n<li>Participate in code reviews, providing constructive feedback to peers</li>\n<li>Assist in troubleshooting and resolving production issues across the full stack</li>\n<li>Implement and maintain unit tests, integration tests, and end-to-end tests</li>\n<li>Contribute to the continuous improvement of our development processes and tooling</li>\n</ul>\n<p>Requirements</p>\n<ul>\n<li>5+ years of professional software development experience in full stack roles</li>\n<li>Strong proficiency in backend development using Python, Go, Java, or similar languages</li>\n<li>Solid experience with frontend development using React, Redux, and TypeScript</li>\n<li>Familiarity with cloud platforms (AWS, Azure, or GCP) and microservices architectures</li>\n<li>Experience with database design and management, both SQL and NoSQL</li>\n<li>Knowledge of RESTful API design and implementation</li>\n<li>Understanding of event-driven architectures and message queuing systems</li>\n<li>Experience with containerization technologies such as Docker and Kubernetes</li>\n<li>Familiarity with version control systems (e.g., Git) and CI/CD pipelines</li>\n<li>Strong problem-solving skills and ability to debug complex issues across the full stack</li>\n<li>Good understanding of software design patterns and architectural principles</li>\n<li>Excellent communication skills and ability to work effectively in a collaborative team environment</li>\n</ul>\n<p>Nice to Have</p>\n<ul>\n<li>Experience with WebSocket implementations</li>\n<li>Familiarity with mapping libraries (e.g., Mapbox) and geospatial data handling</li>\n<li>Knowledge of IoT platforms or autonomous systems</li>\n<li>Experience with data visualization and dashboard creation</li>\n<li>Experience with performance optimization for both backend and frontend systems</li>\n<li>Familiarity with time-series databases for handling sensor data</li>\n</ul>\n<p>Benefits &amp; Perks</p>\n<ul>\n<li>Health benefits (Medical, Dental, Vision, HSA and FSA (Health &amp; Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)</li>\n<li>Life, Short-term and long-term disability insurance (Cyngn funds 100% of premiums)</li>\n<li>Company 401(k)</li>\n<li>Commuter Benefits</li>\n<li>Flexible vacation policy</li>\n<li>Remote or hybrid work opportunities</li>\n<li>Sabbatical leave opportunity after 5 years with the company</li>\n<li>Paid Parental Leave</li>\n<li>Daily lunches for in-office employees</li>\n<li>Monthly meal and tech allowances for remote employees</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_7419ab94-e4f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Cyngn","sameAs":"https://www.cyngn.com/","logo":"https://logos.yubhub.co/cyngn.com.png"},"x-apply-url":"https://jobs.lever.co/cyngn/5c335ac3-eef9-478d-aab3-c7d696b3c8a3","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"USD 166,500-198,000 per-year-salary","x-skills-required":["Python","Go","Java","React","Redux","TypeScript","Cloud platforms (AWS, Azure, or GCP)","Microservices architectures","Database design and management (SQL and NoSQL)","RESTful API design and implementation","Event-driven architectures and message queuing systems","Containerization technologies (Docker and Kubernetes)","Version control systems (Git)","CI/CD pipelines","Software design patterns and architectural principles"],"x-skills-preferred":["WebSocket implementations","Mapping libraries (Mapbox) and geospatial data handling","IoT platforms or autonomous systems","Data visualization and dashboard creation","Performance optimization for both backend and frontend systems","Time-series databases for handling sensor data"],"datePosted":"2026-04-17T12:28:21.988Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Go, Java, React, Redux, TypeScript, Cloud platforms (AWS, Azure, or GCP), Microservices architectures, Database design and management (SQL and NoSQL), RESTful API design and implementation, Event-driven architectures and message queuing systems, Containerization technologies (Docker and Kubernetes), Version control systems (Git), CI/CD pipelines, Software design patterns and architectural principles, WebSocket implementations, Mapping libraries (Mapbox) and geospatial data handling, IoT platforms or autonomous systems, Data visualization and dashboard creation, Performance optimization for both backend and frontend systems, Time-series databases for handling sensor data","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":166500,"maxValue":198000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c9678449-2cf"},"title":"Senior C++ Robotics Engineer","description":"<p>About Cyngn</p>\n<p>Cyngn is a publicly-traded autonomous technology company that deploys self-driving industrial vehicles to factories, warehouses, and other facilities throughout North America.</p>\n<p>We are looking for a Senior C++ Robotics Engineer to join our team. As a key member of our engineering team, you will play a vital role in developing and integrating autonomous vehicle systems.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Design and implement robust robotics software using C++ and ROS/ROS2 framework</li>\n<li>Develop and maintain critical system components including state management, health monitoring, and diagnostic tools</li>\n<li>Create and optimize high-performance software for processing sensor data from LiDAR, cameras, and other perception systems</li>\n<li>Implement and maintain CAN bus communications and firmware update systems</li>\n<li>Configure and optimize container environments for various autonomous vehicle components</li>\n<li>Develop and maintain system provisioning and configuration management tools</li>\n<li>Implement performance profiling and optimization across the autonomous vehicle stack</li>\n<li>Create and maintain automated testing and validation frameworks for system integration</li>\n<li>Troubleshoot complex system issues across hardware, software, and network interfaces</li>\n<li>Collaborate with cross-functional teams to integrate perception, localization, and control systems</li>\n</ul>\n<p>Requirements</p>\n<ul>\n<li>5+ years of experience in robotics software development or system integration</li>\n<li>Strong proficiency in ROS/ROS2 and Ubuntu-based systems</li>\n<li>Extensive experience with real-time system performance optimization and CUDA programming</li>\n<li>Deep understanding of autonomous vehicle architecture and systems integration</li>\n<li>Strong background in electrical systems, CAN protocols, and firmware development</li>\n<li>Expertise in container technologies (Docker, Podman) and their underlying systems</li>\n<li>Experience with configuration management tools like Ansible</li>\n<li>Strong programming skills in C++, Python, and shell scripting</li>\n<li>Thorough understanding of networking principles and protocols</li>\n<li>Experience with high-performance computing and system optimization</li>\n<li>Strong debugging and problem-solving skills across hardware and software domains</li>\n<li>Excellent documentation and communication skills</li>\n</ul>\n<p>Nice to Have</p>\n<ul>\n<li>Experience with fleet management systems or logistics software</li>\n<li>Experience with industrial automation or autonomous mobile robots</li>\n<li>Knowledge of Open-RMF middleware framework</li>\n<li>Experience with telematics data processing and analytics</li>\n<li>Familiarity with computer vision and machine learning deployment</li>\n<li>Experience with over-the-air (OTA) update systems</li>\n<li>Knowledge of safety-critical software development practices</li>\n<li>Experience with real-time operating systems</li>\n<li>Familiarity with automotive-grade software development</li>\n<li>Background in system safety and fault tolerance design</li>\n<li>Experience with simulation environments for autonomous systems testing</li>\n<li>Knowledge of DevOps practices and CI/CD pipelines</li>\n</ul>\n<p>Benefits &amp; Perks</p>\n<ul>\n<li>Health benefits (Medical, Dental, Vision, HSA and FSA (Health &amp; Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)</li>\n<li>Life, Short-term, and long-term disability insurance (Cyngn funds 100% of premiums)</li>\n<li>Company 401(k)</li>\n<li>Commuter Benefits</li>\n<li>Flexible vacation policy</li>\n<li>Sabbatical leave opportunity after five years with the company</li>\n<li>Paid Parental Leave</li>\n<li>Daily lunches for in-office employees</li>\n<li>Monthly meal and tech allowances for remote employees</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_c9678449-2cf","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Cyngn","sameAs":"https://www.cyngn.com/","logo":"https://logos.yubhub.co/cyngn.com.png"},"x-apply-url":"https://jobs.lever.co/cyngn/d5a8db2f-b21f-4e57-a64a-1dfd642a49b7","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$198,000-225,000 per year","x-skills-required":["C++","ROS/ROS2","Ubuntu-based systems","Real-time system performance optimization","CUDA programming","Autonomous vehicle architecture","Systems integration","Electrical systems","CAN protocols","Firmware development","Container technologies","Configuration management tools","Programming skills in C++, Python, and shell scripting","Networking principles and protocols","High-performance computing","System optimization"],"x-skills-preferred":["Fleet management systems","Industrial automation","Open-RMF middleware framework","Telematics data processing","Computer vision","Machine learning deployment","Over-the-air (OTA) update systems","Safety-critical software development practices","Real-time operating systems","Automotive-grade software development","System safety and fault tolerance design","Simulation environments","DevOps practices and CI/CD pipelines"],"datePosted":"2026-04-17T12:26:58.443Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C++, ROS/ROS2, Ubuntu-based systems, Real-time system performance optimization, CUDA programming, Autonomous vehicle architecture, Systems integration, Electrical systems, CAN protocols, Firmware development, Container technologies, Configuration management tools, Programming skills in C++, Python, and shell scripting, Networking principles and protocols, High-performance computing, System optimization, Fleet management systems, Industrial automation, Open-RMF middleware framework, Telematics data processing, Computer vision, Machine learning deployment, Over-the-air (OTA) update systems, Safety-critical software development practices, Real-time operating systems, Automotive-grade software development, System safety and fault tolerance design, Simulation environments, DevOps practices and CI/CD pipelines","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":198000,"maxValue":225000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_aa7543fd-8bc"},"title":"Staff Software Engineer","description":"<p>We&#39;re looking for experienced distributed-systems engineers to join our Core Product team and advance the next generation of Alluxio&#39;s data-orchestration engine - the foundation for AI and analytics at global scale.</p>\n<p>As a Staff Software Engineer, you&#39;ll work on high-impact systems problems such as optimizing metadata management, caching, and replication across thousands of nodes; designing concurrent, fault-tolerant services for multi-region and multi-cloud environments; evolving Alluxio&#39;s storage abstraction and scheduling layer to support large-scale AI/ML data pipelines; and collaborating with internal product teams to push the limits of distributed I/O performance.</p>\n<p>This is a hands-on, architecture-plus-implementation role for engineers who love deep systems work and want visible impact in a small, senior, highly technical team.</p>\n<p><strong>What You&#39;ll Own</strong></p>\n<ul>\n<li>Cache and metadata consistency - advance Alluxio&#39;s intelligent caching framework for multi-tenant environments (TTL policies, write-back consistency, invalidation protocols, and distributed metadata scaling).</li>\n<li>High-throughput data I/O optimization - profile and optimize Alluxio&#39;s data path across S3, GCS, HDFS, and POSIX interfaces using adaptive prefetching, async I/O, and tier-aware scheduling.</li>\n<li>Scaling for AI and analytics workloads - evolve the coordination layer to efficiently serve distributed AI training clusters, accelerating model load and shuffle operations across regions and clouds.</li>\n<li>Observability and performance insights - build fine-grained metrics and tracing for cache efficiency, throughput, and latency across storage tiers.</li>\n<li>Open-source leadership - drive design discussions, mentor contributors, and represent Alluxio&#39;s core-systems direction within the OSS community.</li>\n</ul>\n<p><strong>What You&#39;ll Do</strong></p>\n<ul>\n<li>Design and implement core components of Alluxio&#39;s distributed file and object-access layer.</li>\n<li>Optimize performance for large-scale, high-throughput environments using advanced concurrency and caching techniques.</li>\n<li>Build scalable metadata and coordination systems that ensure strong consistency, high availability, and minimal latency.</li>\n<li>Collaborate cross-functionally with product, solution-engineering, and research teams to drive roadmap and customer success.</li>\n</ul>\n<p><strong>What We&#39;re Looking For</strong></p>\n<ul>\n<li>Strong computer-science fundamentals and a passion for large-scale distributed systems.</li>\n<li>Professional experience developing in Java, C++, or Go.</li>\n<li>Deep understanding of concurrency, replication, fault tolerance, and performance optimization.</li>\n<li>Experience with distributed storage, data-access layers, or cloud infrastructure (e.g., Spark, Presto, Hadoop, Kubernetes).</li>\n<li>Bachelor&#39;s or advanced degree in Computer Science or related technical field (or equivalent experience).</li>\n<li>Demonstrated technical leadership: defining architecture, mentoring peers, or driving major projects from design through release.</li>\n</ul>\n<p><strong>Why Alluxio</strong></p>\n<ul>\n<li>Build infrastructure trusted by the world&#39;s largest AI and data-driven companies.</li>\n<li>Join a small, senior engineering team where your designs shape the product&#39;s evolution.</li>\n<li>Work directly with the original creators of open-source Alluxio.</li>\n<li>A culture of empathy, curiosity, and ownership - where engineers collaborate closely to solve hard problems.</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_aa7543fd-8bc","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Alluxio","sameAs":"https://alluxio.io","logo":"https://logos.yubhub.co/alluxio.io.png"},"x-apply-url":"https://jobs.lever.co/alluxio/65f09933-df44-4f0d-b70d-7d4e6fd57330","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Java","C++","Go","Distributed Systems","Concurrency","Replication","Fault Tolerance","Performance Optimization","Distributed Storage","Data-Access Layers","Cloud Infrastructure"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:23:29.788Z","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Java, C++, Go, Distributed Systems, Concurrency, Replication, Fault Tolerance, Performance Optimization, Distributed Storage, Data-Access Layers, Cloud Infrastructure"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_84d9536b-d9b"},"title":"Staff R&D Compilation Engineer – ZeBu Emulation Platform","description":"<p>Synopsys software engineers are key enablers in the world of Electronic Design Automation (EDA), developing and maintaining software used in chip design, verification and manufacturing.</p>\n<p>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><strong>Responsibilities</strong></p>\n<ul>\n<li>Design, implement, and optimize compilation algorithms for mapping large-scale processor hardware descriptions onto the ZeBu emulator</li>\n<li>Develop scalable solutions to handle multi-billion-gate designs within tight runtime and memory constraints</li>\n<li>Apply advanced problem-solving skills to debug complex compilation, placement, and performance issues</li>\n<li>Develop and maintain high-quality, modular, and extensible object-oriented software in C++</li>\n<li>Collaborate closely with hardware architects, performance engineers, and emulator platform teams to ensure seamless integration and performance</li>\n<li>Contribute to continuous improvement of compilation flows, algorithms, and infrastructure for enhanced efficiency and robustness</li>\n<li>Participate in code reviews, design discussions, and knowledge sharing sessions with the broader engineering community</li>\n</ul>\n<p><strong>Impact</strong></p>\n<ul>\n<li>Enable leading semiconductor companies to verify next-generation processor designs before commercialization</li>\n<li>Drive performance and scalability improvements, reducing compile and placement times for massive hardware designs</li>\n<li>Advance state-of-the-art compilation technologies in emulation, directly shaping the future of chip verification</li>\n<li>Enhance robustness and reliability of the ZeBu emulation platform, ensuring successful deployment in real-world scenarios</li>\n<li>Foster innovation and collaboration within the ZeBu Compiler Team and across Synopsys engineering groups</li>\n<li>Support industry leaders in achieving faster time-to-market for their products through efficient emulation workflows</li>\n<li>Champion best practices in software engineering, contributing to the overall quality and maintainability of the codebase</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>3-5 years of relevant experience</li>\n<li>Strong skills in problem solving and algorithmic thinking, with proven experience in tackling challenging technical problems</li>\n<li>Solid expertise in object-oriented programming (preferably C++)</li>\n<li>Deep understanding of data structures and algorithms, with the ability to design efficient and scalable solutions</li>\n<li>Experience working with complex systems and large codebases</li>\n<li>Strong analytical skills and meticulous attention to detail</li>\n<li>Exposure to performance optimization, memory efficiency, or parallel computing (preferred)</li>\n<li>Familiarity with hardware description languages (Verilog, SystemVerilog, VHDL) (preferred)</li>\n<li>Experience with emulation, FPGA, EDA tools, or large-scale system software (preferred)</li>\n</ul>\n<p><strong>Team</strong></p>\n<p>You’ll join the ZeBu Compiler Team,a group of passionate engineers dedicated to advancing emulation technology for the world’s leading semiconductor companies. The team focuses on developing innovative compilation algorithms, scalable software solutions, and robust infrastructure to enable efficient verification of massive hardware designs. Collaboration, knowledge sharing, and a commitment to excellence define the team’s culture, empowering each member to make a meaningful impact.</p>\n<p><strong>Rewards and Benefits</strong></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. Your recruiter will provide more details about the salary range and benefits during the hiring 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_84d9536b-d9b","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/marlborough/staff-r-and-d-compilation-engineer-zebu-emulation-platform/44408/93574082272","x-work-arrangement":null,"x-experience-level":"staff","x-job-type":"employee","x-salary-range":"$120000-$180000","x-skills-required":["problem solving","algorithmic thinking","object-oriented programming","data structures","algorithms","performance optimization","memory efficiency","parallel computing","hardware description languages","emulation","FPGA","EDA tools","large-scale system software"],"x-skills-preferred":[],"datePosted":"2026-04-05T13:15:19.707Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Marlborough"}},"occupationalCategory":"Engineering","industry":"Technology","skills":"problem solving, algorithmic thinking, object-oriented programming, data structures, algorithms, performance optimization, memory efficiency, parallel computing, hardware description languages, emulation, FPGA, EDA tools, large-scale system software","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":120000,"maxValue":180000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_af0a0b72-41b"},"title":"Full Stack Web Developer (Next.js / TypeScript / Node.js)","description":"<p>We are looking for a Full Stack Web Developer with 3+ years of experience in Next.js, TypeScript, and Node.js. You will develop scalable backend services while also contributing to intuitive, performant user interfaces. You will also collaborate across design, product, and engineering teams to deliver high-quality, API-driven features that power our web applications.  <strong>Backend-Focused Development</strong>  You will develop backend services and API routes using Node.js and NestJS. You will architect and maintain integrations with third-party APIs, ensuring reliability, efficiency, and clean abstractions for frontend use. You will build data models and workflows that combine multiple content and data sources, including internal services and headless CMS platforms such as Contentful.  <strong>Frontend Development</strong>  You will develop responsive, user-friendly features using React and Next.js, translating designs into reusable components. You will integrate frontend experiences with backend services and external data integrations. You will ensure UI performance, cross-browser consistency, and best practices in responsive design.  <strong>CMS &amp; Content Delivery</strong>  You will work with headless CMS platforms (e.g., Contentful) to support content models, delivery pipelines, and content-driven application features. You will implement clean data-fetching patterns that keep content experiences reliable and scalable.  <strong>Quality Assurance &amp; Collaboration</strong>  You will conduct unit and integration testing across frontend and backend code. You will participate in code reviews, documentation, and continuous improvement of our codebase. You will collaborate with designers, product managers, and other engineers to deliver end-to-end features.  <strong>Requirements</strong>  - Bachelor&#39;s degree in Computer Science, Engineering, or related field (or equivalent work experience). - Proficiency in JavaScript/TypeScript, with practical experience in both frontend and backend environments. - Hands-on experience with Node.js, NestJS, and building server-side logic. - Working proficiency with React and Next.js, including component-driven development and modern frontend patterns. - Experience integrating and maintaining third-party APIs, with a focus on reliability, error handling, and thoughtful abstraction. - Familiarity with Git and modern development workflows (Agile, pull requests, branching). - Familiarity with testing frameworks such as Jest, React Testing Library, or similar. - Understanding of caching strategies, CDNs, or performance optimization tools. - Knowledge of accessibility (WCAG), SEO principles, and web best practices. - Familiarity with CI/CD pipelines (GitLab, GitHub Actions). - Experience with both RESTful and GraphQL integrations.  <strong>Pay Transparency - North America</strong>  The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).  <strong>PAY RANGES</strong>  \\\\\\<em> British Columbia (depending on location e.g. Vancouver vs. Victoria) \\\\</em>$100,000 - $139,500 CAD  Pay is just one part of the overall compensation at EA.  For Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity.  <strong>_About Electronic Arts_</strong>  We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.  We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.</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_af0a0b72-41b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Electronic Arts","sameAs":"https://jobs.ea.com","logo":"https://logos.yubhub.co/jobs.ea.com.png"},"x-apply-url":"https://jobs.ea.com/en_US/careers/JobDetail/Software-Engineer-II/211699","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$100,000 - $139,500 CAD","x-skills-required":["JavaScript/TypeScript","Node.js","NestJS","React","Next.js","Git","Agile","Pull requests","Branching","Jest","React Testing Library","Caching strategies","CDNs","Performance optimization tools","Accessibility (WCAG)","SEO principles","Web best practices","CI/CD pipelines (GitLab, GitHub Actions)","RESTful and GraphQL integrations"],"x-skills-preferred":["Contentful","Headless CMS platforms","Content models","Delivery pipelines","Content-driven application features"],"datePosted":"2026-03-09T11:11:24.452Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Vancouver, British Columbia, Canada"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"JavaScript/TypeScript, Node.js, NestJS, React, Next.js, Git, Agile, Pull requests, Branching, Jest, React Testing Library, Caching strategies, CDNs, Performance optimization tools, Accessibility (WCAG), SEO principles, Web best practices, CI/CD pipelines (GitLab, GitHub Actions), RESTful and GraphQL integrations, Contentful, Headless CMS platforms, Content models, Delivery pipelines, Content-driven application features","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":100000,"maxValue":139500,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_06fb74fd-d12"},"title":"Senior MLE","description":"<p><strong>About the Role</strong></p>\n<p>We&#39;re looking for a Senior MLE to join our Machine Learning Recall team. 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Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p>\n<p>Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. 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Applications will be reviewed on a rolling basis.</strong></p>\n<p><strong>Logistics</strong></p>\n<ul>\n<li>Education requirements: We require at least a Bachelor&#39;s degree in a related field or equivalent experience.</li>\n<li>Location-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.</li>\n<li>Visa 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.</li>\n</ul>\n<p><strong>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.</strong></p>\n<p><strong>Your 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.</strong></p>\n<p><strong>How we&#39;re different</strong></p>\n<p>We 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. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view</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_f95fe525-8fd","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5097742008","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"£325,000 - £390,000GBP","x-skills-required":["performance optimization","distributed systems","large-scale service orchestration","intelligent request routing","LLM inference optimization","batching strategies","multi-accelerator deployments","Kubernetes","cloud infrastructure","Python","Rust"],"x-skills-preferred":["high-performance, large-scale distributed systems","implementing and deploying machine learning systems at scale","load balancing, request routing, or traffic management systems","caching strategies"],"datePosted":"2026-03-08T13:49:42.673Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"performance optimization, distributed systems, large-scale service orchestration, intelligent request routing, LLM inference optimization, batching strategies, multi-accelerator deployments, Kubernetes, cloud infrastructure, Python, Rust, high-performance, large-scale distributed systems, implementing and deploying machine learning systems at scale, load balancing, request routing, or traffic management systems, caching strategies","baseSalary":{"@type":"MonetaryAmount","currency":"GBP","value":{"@type":"QuantitativeValue","minValue":325000,"maxValue":390000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_da726093-b19"},"title":"Research Engineer, Discovery","description":"<p><strong>About the Role</strong></p>\n<p>As a Research Engineer on our team, you will work end to end across the whole model stack, identifying and addressing key infra blockers on the path to scientific AGI. Strong candidates should have familiarity with elements of language model training, evaluation, and inference and eagerness to quickly dive and get up to speed in areas they are not yet an expert on. This may include performance optimization, distributed systems, VM/sandboxing/container deployment, and large scale data pipelines.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Design and implement large-scale infrastructure systems to support AI scientist training, evaluation, and deployment across distributed environments</li>\n<li>Identify and resolve infrastructure bottlenecks impeding progress toward scientific capabilities</li>\n<li>Develop robust and reliable evaluation frameworks for measuring progress towards scientific AGI.</li>\n<li>Build scalable and performant VM/sandboxing/container architectures to safely execute long-horizon AI tasks and scientific workflows</li>\n<li>Collaborate to translate experimental requirements into production-ready infrastructure</li>\n<li>Develop large scale data pipelines to handle advanced language model training requirements</li>\n<li>Optimize large scale training and inference pipelines for stable and efficient reinforcement learning</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have 6+ years of highly-relevant experience in infrastructure engineering with demonstrated expertise in large-scale distributed systems</li>\n<li>Are a strong communicator and enjoy working collaboratively</li>\n<li>Possess deep knowledge of performance optimization techniques and system architectures for high-throughput ML workloads</li>\n<li>Have experience with containerization technologies (Docker, Kubernetes) and orchestration at scale</li>\n<li>Have proven track record of building large-scale data pipelines and distributed storage systems</li>\n<li>Excel at diagnosing and resolving complex infrastructure challenges in production environments</li>\n<li>Can work effectively across the full ML stack from data pipelines to performance optimization</li>\n<li>Have experience collaborating with other researchers to scale experimental ideas</li>\n<li>Thrive in fast-paced environments and can rapidly iterate from experimentation to production</li>\n</ul>\n<p><strong>Strong candidates may also have:</strong></p>\n<ul>\n<li>Experience with language model training infrastructure and distributed ML frameworks (PyTorch, JAX, etc.)</li>\n<li>Background in building infrastructure for AI research labs or large-scale ML organizations</li>\n<li>Knowledge of GPU/TPU architectures and language model inference optimization</li>\n<li>Experience with cloud platforms (AWS, GCP) at enterprise scale</li>\n<li>Familiarity with VM and container orchestration.</li>\n<li>Experience with workflow orchestration tools and experiment management systems</li>\n<li>History working with large scale reinforcement learning</li>\n<li>Comfort with large scale data pipelines (Beam, Spark, Dask, …)</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<ul>\n<li>Education requirements: We require at least a Bachelor&#39;s degree in a related field or equivalent experience.</li>\n<li>Location-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.</li>\n<li>Visa 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.</li>\n</ul>\n<p><strong>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.</strong></p>\n<p><strong>Your 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.</strong></p>\n<p><strong>How we&#39;re different</strong></p>\n<p>We 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 projects, and we&#39;re committed to making a positive impact on the world.</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_da726093-b19","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/4669581008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$350,000 - $850,000 USD","x-skills-required":["infrastructure engineering","large-scale distributed systems","performance optimization","containerization technologies","orchestration at scale","data pipelines","distributed storage systems","complex infrastructure challenges","ML stack","workflow orchestration tools","experiment management systems","reinforcement learning","large scale data pipelines"],"x-skills-preferred":["language model training infrastructure","distributed ML frameworks","GPU/TPU architectures","language model inference optimization","cloud platforms","VM and container orchestration","workflow orchestration tools","experiment management systems","large scale reinforcement learning","large scale data pipelines"],"datePosted":"2026-03-08T13:46:32.661Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"infrastructure engineering, large-scale distributed systems, performance optimization, containerization technologies, orchestration at scale, data pipelines, distributed storage systems, complex infrastructure challenges, ML stack, workflow orchestration tools, experiment management systems, reinforcement learning, large scale data pipelines, language model training infrastructure, distributed ML frameworks, GPU/TPU architectures, language model inference optimization, cloud platforms, VM and container orchestration, workflow orchestration tools, experiment management systems, large scale reinforcement learning, large scale data pipelines","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":350000,"maxValue":850000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a05bfa1a-d23"},"title":"Research Engineer, Pretraining Scaling","description":"<p><strong>About Anthropic</strong></p>\n<p>Anthropic&#39;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p>\n<p><strong>About the Role:</strong></p>\n<p>Anthropic&#39;s ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company&#39;s future and our mission to build safe, beneficial AI systems. As a Research Engineer on this 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.</p>\n<p>This role lives at the boundary between research and engineering. You&#39;ll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can&#39;t wait for tomorrow.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability</li>\n<li>Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure</li>\n<li>Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance</li>\n<li>Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams</li>\n<li>Build and maintain production logging, monitoring dashboards, and evaluation infrastructure</li>\n<li>Add new capabilities to the training codebase, such as long context support or novel architectures</li>\n<li>Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams</li>\n<li>Contribute to the team&#39;s institutional knowledge by documenting systems, debugging approaches, and lessons learned</li>\n</ul>\n<p><strong>You May Be a Good Fit If You:</strong></p>\n<ul>\n<li>Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems</li>\n<li>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</li>\n<li>Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure</li>\n<li>Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs</li>\n<li>Excel at debugging complex, ambiguous problems across multiple layers of the stack</li>\n<li>Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents</li>\n<li>Are passionate about the work itself and want to refine your craft as a research engineer</li>\n<li>Care about the societal impacts of AI and responsible scaling</li>\n</ul>\n<p><strong>Strong Candidates May Also Have:</strong></p>\n<ul>\n<li>Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale</li>\n<li>Contributed to open-source LLM frameworks (e.g., open\\_lm, llm-foundry, mesh-transformer-jax)</li>\n<li>Published research on model training, scaling laws, or ML systems</li>\n<li>Experience with production ML systems, observability tools, or evaluation infrastructure</li>\n<li>Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence</li>\n</ul>\n<p><strong>What Makes This Role Unique:</strong></p>\n<p>This 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.</p>\n<p>However, 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.</p>\n<p>We&#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.</p>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience. <strong>Location-based hybrid policy:</strong> 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.</p>\n<p><strong>Visa sponsorship:</strong> 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.</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_a05bfa1a-d23","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/4938436008","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"£260,000 - £630,000GBP","x-skills-required":["JAX","TPU","PyTorch","large-scale distributed systems","model operations","performance optimization","observability","reliability","debugging","experimental design","launch coordination","production logging","monitoring dashboards","evaluation infrastructure","collaboration","communication"],"x-skills-preferred":["open-source LLM frameworks","research on model training","scaling laws","ML systems","production ML systems","observability tools","evaluation infrastructure","systems engineering","quant","operational excellence"],"datePosted":"2026-03-08T13:44:15.893Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"JAX, TPU, PyTorch, large-scale distributed systems, model operations, performance optimization, observability, reliability, debugging, experimental design, launch coordination, production logging, monitoring dashboards, evaluation infrastructure, collaboration, communication, open-source LLM frameworks, research on model training, scaling laws, ML systems, production ML systems, observability tools, evaluation infrastructure, systems engineering, quant, operational excellence","baseSalary":{"@type":"MonetaryAmount","currency":"GBP","value":{"@type":"QuantitativeValue","minValue":260000,"maxValue":630000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_325c968b-d59"},"title":"Inference Technical Lead, Sora","description":"<p><strong>Inference Technical Lead, Sora</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Location Type</strong></p>\n<p>Hybrid</p>\n<p><strong>Department</strong></p>\n<p>Research</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$380K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p><strong>About the Team</strong></p>\n<p>The Sora team is pioneering multimodal capabilities for OpenAI’s foundation models. We’re a hybrid research and product team focused on integrating multimodal functionalities into our AI products, ensuring they are reliable, user-friendly, and aligned with our mission of broad societal benefit.</p>\n<p><strong>About the Role</strong></p>\n<p>We’re looking for a GPU Inference Engineer to contribute to improvements in model serving efficiency for Sora. This is a high-impact role where you’ll drive initiatives to optimize inference performance and scalability. You’ll also be engaged in model design, to help assist our researchers in developing inference-friendly models.</p>\n<p>_<strong>This role is critical to scaling the team’s broader goals - it will directly enable leadership to focus on higher-leverage initiatives by building a stronger technical foundation.</strong>_</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Perform engineering efforts focused on improving model serving, inference performance, and system efficiency</li>\n</ul>\n<ul>\n<li>Drive optimizations from a kernel and data movement perspective to improve system throughput and reliability</li>\n</ul>\n<ul>\n<li>Partner closely with research and product teams to ensure our models perform effectively at scale</li>\n</ul>\n<ul>\n<li>Design, build, and improve critical serving infrastructure to support Sora’s growth and reliability needs</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Have deep expertise in model performance optimization, particularly at the inference layer</li>\n</ul>\n<ul>\n<li>Have a strong background in kernel-level systems, data movement, and low-level performance tuning</li>\n</ul>\n<ul>\n<li>Are excited about scaling high-performing AI systems that serve real-world, multimodal workloads</li>\n</ul>\n<ul>\n<li>Can navigate ambiguity, set technical direction, and drive complex initiatives to completion</li>\n</ul>\n<p>_<strong>This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.</strong>_</p>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</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_325c968b-d59","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/3c2d1178-777f-4613-a084-75a3d37cd1af","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$380K • Offers Equity","x-skills-required":["GPU Inference Engineer","Model Performance Optimization","Kernel-Level Systems","Data Movement","Low-Level Performance Tuning"],"x-skills-preferred":["AI Systems","Multimodal Workloads","Complex Initiatives","Technical Direction"],"datePosted":"2026-03-06T18:42:26.117Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"GPU Inference Engineer, Model Performance Optimization, Kernel-Level Systems, Data Movement, Low-Level Performance Tuning, AI Systems, Multimodal Workloads, Complex Initiatives, Technical Direction","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":380000,"maxValue":380000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_520ca95e-75f"},"title":"Software Engineer, Agent Infrastructure","description":"<p><strong>Software Engineer, Agent Infrastructure</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco; New York City</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Department</strong></p>\n<p>Scaling</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$230K – $385K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p><strong>About the Team</strong></p>\n<p>The Agent Infrastructure team at OpenAI is responsible for building systems that enable training and deployment of highly useful AI agents, both internally and for the world.</p>\n<p>We work hand-in-hand with researchers to design and scale the environment in which agentic models are trained – providing a workspace for AI models to execute code, debug issues, and develop software just as human SWEs do. Our training environment for agentic models operates at an extremely high scale and has the flexibility to emulate any environment in which an agent might work.</p>\n<p>At the same time, our team builds and maintains OpenAI’s core platform for the deployment and execution of agents in production. Our systems power products such as Codex, Operator, tool use in ChatGPT, and future agentic products.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Software Engineer on the Agent Infrastructure team, you will have the opportunity to work closely with both research and product at OpenAI - building and scaling systems to train highly capable agentic models, and building the platform and integrations to launch new agents to hundreds of millions of users worldwide.</p>\n<p>Your work will consist of both building new capabilities - standing up the infrastructure and integrations needed to train more complex agentic models - and rapidly scaling these new capabilities to some of the largest compute clusters in the world. At the same time, you’ll be instrumental to the launch of agentic products at OpenAI - building, maintaining, and scaling the production platform on which all agents run.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Push massive compute clusters to their limits. You will be a core contributor to a novel container orchestration platform built in-house by our team to scale far beyond what’s possible with systems like Kubernetes.</li>\n</ul>\n<ul>\n<li>Develop and maintain FastAPI and gRPC APIs that serve as the interface for our agentic infrastructure used both in training and production.</li>\n</ul>\n<ul>\n<li>Use Terraform to stand up and evolve complex infrastructure for both research and production.</li>\n</ul>\n<ul>\n<li>Collaborate with research teams to stand up and optimize systems for novel AI training runs and experimental applications.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Have deep experience working on large-scale machine learning infrastructure. You know how to reason about training at scale, identifying bottlenecks and engineering solutions to optimize system performance in training environments.</li>\n</ul>\n<ul>\n<li>Know how to build new things from 0-1 quickly, and then scale them 1,000,000x.</li>\n</ul>\n<ul>\n<li>Have a keen eye for performance and optimization. You know how to squeeze the most performance out of complex, globally-distributed systems.</li>\n</ul>\n<ul>\n<li>Know your way around cloud platforms and work with infrastructure-as-code tech like Terraform.</li>\n</ul>\n<ul>\n<li>Are driven by solving complex, ambiguous problems at the intersection of infrastructure scalability, virtualization efficiency, and agentic capabilities.</li>\n</ul>\n<ul>\n<li>Have deep technical expertise in virtualization and containerization technologies (e.g. Kata, Firecracker, gVisor, Sysbox) and are passionate about optimizing runtime performance.</li>\n</ul>\n<p><strong>What We Offer</strong></p>\n<ul>\n<li>Competitive salary and equity package</li>\n</ul>\n<ul>\n<li>Opportunity to work on cutting-edge AI infrastructure</li>\n</ul>\n<ul>\n<li>Collaborative and dynamic team environment</li>\n</ul>\n<ul>\n<li>Flexible work arrangements</li>\n</ul>\n<ul>\n<li>Professional development opportunities</li>\n</ul>\n<ul>\n<li>Access to the latest technology and tools</li>\n</ul>\n<p><strong>How to Apply</strong></p>\n<p>If you are a motivated and experienced software engineer looking to join a dynamic team and work on cutting-edge AI infrastructure, please submit your application. We look forward to hearing 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_520ca95e-75f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/c1316397-25bb-4add-9e9d-0e3ea8ba929a","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$230K – $385K","x-skills-required":["large-scale machine learning infrastructure","container orchestration","FastAPI","gRPC","Terraform","cloud platforms","infrastructure-as-code","virtualization","containerization","Kata","Firecracker","gVisor","Sysbox"],"x-skills-preferred":["AI infrastructure","agentic models","training environments","compute clusters","performance optimization","runtime performance"],"datePosted":"2026-03-06T18:41:05.385Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco; New York City"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"large-scale machine learning infrastructure, container orchestration, FastAPI, gRPC, Terraform, cloud platforms, infrastructure-as-code, virtualization, containerization, Kata, Firecracker, gVisor, Sysbox, AI infrastructure, agentic models, training environments, compute clusters, performance optimization, runtime performance","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":230000,"maxValue":385000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_eddc20bf-1ad"},"title":"Research Engineer, Codex","description":"<p><strong>Research Engineer, Codex</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Department</strong></p>\n<p>Research</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$380K – $445K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. 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You’ll collaborate with world-class researchers and engineers to develop and deploy systems that help millions of users write better code, faster—while also ensuring these systems are efficient, cost-effective, and production-ready.</p>\n<p>We’re looking for people who combine deep curiosity, strong technical fundamentals, and a bias toward impact. Whether your strengths lie in ML research, systems engineering, or performance optimization, you’ll play a pivotal role in pushing the state of the art and bringing these advances into the hands of real users.</p>\n<p>This role is based in San Francisco, CA. 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We collaborate closely with product, hardware, and full-stack teams to ensure our infrastructure enables fast iteration while setting a strong foundation for long-term growth.</p>\n<p><strong>About the Role</strong></p>\n<p>As a <strong>Backend Engineer</strong>, you will design and build services, APIs, and infrastructure that support evolving product needs. You’ll apply a deep understanding of backend systems and maintain enough end-to-end context—from hardware to cloud—to guide technical decisions that best serve the product and team.</p>\n<p>We’re looking for engineers who thrive in fast-paced, collaborative environments and care deeply about building robust systems that scale.</p>\n<p>This role is based in <strong>San Francisco, CA</strong>. 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Your work will directly shape how users and administrators understand and manage access across OpenAI’s products, helping unlock secure, large-scale enterprise adoption of AI.</p>\n<p>This role is based in San Francisco, California. 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We follow a hybrid model with 4 days a week in the office and offer relocation assistance to new employees.</strong></p>\n<p><strong>In this role you will:</strong></p>\n<ul>\n<li>Train and evaluate multimodal SoTA models along axis that are important to our vision for future devices.</li>\n<li>Develop novel architectures that improve model performance when scaling the models themselves is not an option.</li>\n<li>Run through the necessary walls to take nascent research capabilities and turn them into capabilities we can build on top of.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have a research background related to developing on-device transformer models.</li>\n<li>Love performance optimization and working with GPU kernel engineers (but you do not need CUDA experience yourself).</li>\n<li>Do rigorous science (rather than vibes based). 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