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You will also monitor multiple projects, identify risks and issues in advance, and initiate appropriate corrective and preventive actions, ensuring the performance &amp; the quality as per the project’s goals.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Implement complex sets of rules for the conversion of data to be migrated</li>\n<li>Develop or evaluate solutions proposed to various customers</li>\n<li>Design and hold internal and customer workshops</li>\n<li>Manage multiple projects in the subject area</li>\n<li>Design a solution portfolio</li>\n<li>Pick up new trends independently</li>\n<li>Develop our range of services in the area of SAP data migration, especially with regard to S/4HANA</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Computer Science, Electronics &amp; Telecommunications or comparable studies graduated</li>\n<li>Programming skills (ideally ABAP) and/or SQL knowledge</li>\n<li>Profound knowledge (at least 6 years experience) in Data Migration projects with SAP technologies like LSMW, Migration Cockpit and/or Data Services</li>\n<li>Profound knowledge (at least 6 years experience) in one of the SAP SCM modules: MM, FI, CO, PP, SD etc</li>\n<li>Experience in both migrating data into SAP ERP and extracting data from SAP ERP</li>\n<li>Quick comprehension and a high level of logical thinking</li>\n<li>Initiative and flexibility, independent and systematic in the approach</li>\n<li>Strong communication skills and excellent time management</li>\n</ul>\n<p>Preferred qualifications:</p>\n<ul>\n<li>Profound knowledge (at least 5 years experience) in SAP R/3 and/or SAP S/4 systems</li>\n<li>At least 4 years of experience in one of the SAP modules: MM, FI, CO, PP, SD etc</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Start date: by arrangement -  always on the 1st and 15th of the month</li>\n<li>Working hours: full-time (40h); 27 vacation days</li>\n<li>Employment contract: Unlimited</li>\n<li>Line of work: Consulting</li>\n<li>Language skills: Fluency in written and spoken English; German is a plus</li>\n<li>Flexibility &amp; willingness to travel</li>\n<li>Other: a valid work permit</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_1fa19c1a-cdf","directApply":true,"hiringOrganization":{"@type":"Organization","name":"MHP","sameAs":"http://www.mhp.com/","logo":"https://logos.yubhub.co/mhp.com.png"},"x-apply-url":"https://jobs.porsche.com/index.php?ac=jobad&id=17669","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Computer Science","Electronics & Telecommunications","Programming skills","SQL knowledge","Data Migration projects","SAP technologies","LSMW","Migration Cockpit","Data Services","SAP SCM modules","MM","FI","CO","PP","SD","Quick comprehension","Logical thinking","Initiative","Flexibility","Strong communication skills","Excellent time management"],"x-skills-preferred":[],"datePosted":"2026-04-22T17:26:00.320Z","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Computer Science, Electronics & Telecommunications, Programming skills, SQL knowledge, Data Migration projects, SAP technologies, LSMW, Migration Cockpit, Data Services, SAP SCM modules, MM, FI, CO, PP, SD, Quick comprehension, Logical thinking, Initiative, Flexibility, Strong communication skills, Excellent time management"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a2acc042-37e"},"title":"Risk Manager, Credit","description":"<p>The Firm seeks a Risk Manager to join its Credit Risk Management team in New York. 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The successful candidate will oversee the independent risk management of convertible bond portfolios in the United States, Europe, and Asia.</p>\n<p>Primary responsibilities include:</p>\n<ul>\n<li>Owning independent risk oversight: overseeing global convertible bond portfolios, with a clear view of exposures across delta, gamma, vega, credit spread, rates, borrow, financing, liquidity, and correlation.</li>\n<li>Analysing P&amp;L and risk: analysing risk drivers, P&amp;L attribution, hedging efficiency, scenario behaviour, and tail outcomes.</li>\n<li>Developing and overseeing risk guidelines: establishing guidelines for portfolio construction, concentration, liquidity, gap risk, financing, and drawdown. 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This is an ideal role for an engineer who loves teaching, loves developer tools, and wants to shape how field teams talk about the future of AI-assisted development.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Deliver Claude Code training for onboarding and ongoing enablement programs</li>\n<li>Create and maintain training content: demo scripts, hands-on labs, use case libraries, quick-reference guides</li>\n<li>Build compelling demo scenarios across industries and developer personas</li>\n<li>Develop competitive positioning content,battlecards, differentiation guides, objection handling</li>\n<li>Run demo coaching sessions and weekly office hours</li>\n<li>Translate new Claude Code features into field-ready content rapidly</li>\n<li>Gather field feedback and track content effectiveness to continuously improve programs</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>7+ years in a technical role (software engineering, solutions engineering, developer advocacy, or technical enablement)</li>\n<li>Strong programming skills,you&#39;ve shipped real code recently, not just slideware</li>\n<li>You use AI coding tools (ideally Claude Code) extensively in your own work,not as a novelty, but as core infrastructure for how you build and ship</li>\n<li>Track record delivering live technical training or talks</li>\n<li>Experience partnering directly with sales, solutions engineering, or GTM teams</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Experience coaching others on demos or presentations</li>\n<li>Familiarity with enterprise developer workflows</li>\n<li>Public speaking, conference presentations, or community-facing developer advocacy</li>\n</ul>\n<p>Location &amp; Travel:</p>\n<p>Location is flexible, with preference for proximity to a major hub (SF, NYC, or Seattle). 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In this role, you will be responsible for driving the overall strategy for instantiating safe and secure agentic and perception capabilities relevant to the division&#39;s programs and products and set research initiatives that usher in new frameworks of operator-to-agent teaming to achieve operational-efficiency.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Drive strategy that fields safe and secure performant agents on embedded warfighting compute.</li>\n<li>Manage a cohort of cleared machine learning engineers, researchers, and product managers.</li>\n<li>Provide deep technical leadership to team on design, development, and deployment of advanced AI solutions.</li>\n<li>Leverage and shape the world&#39;s largest defense robotics data set to develop cutting-edge AI capabilities.</li>\n<li>Coordinate with internal testing and evaluation team(s) to design specialized evaluation benchmarks for defense use-cases.</li>\n<li>Partner with US-based Frontier AI Labs to revolutionize the employment of autonomy in embedded hardware.</li>\n</ul>\n<p>Required qualifications include:</p>\n<ul>\n<li>Management experience leading and growing AI/ML teams.</li>\n<li>Experience deploying AI-technologies into classified environments (e.g., disconnected, air-gapped, etc.).</li>\n<li>Expertise in deep learning techniques and the latest generative AI technologies (Agents, Vision-Language Action models, etc.).</li>\n<li>Strong programming skills.</li>\n<li>Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance.</li>\n</ul>\n<p>Preferred qualifications include:</p>\n<ul>\n<li>Experience with edge-deployed ML systems.</li>\n<li>Prior work in Defense Tech and/or Start Ups.</li>\n<li>Active U.S. Top Secret SCI security clearance.</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_9f7ede8b-fc2","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anduril Industries","sameAs":"https://anduril.com/","logo":"https://logos.yubhub.co/anduril.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/andurilindustries/jobs/4970360007","x-work-arrangement":"onsite","x-experience-level":"executive","x-job-type":"full-time","x-salary-range":"$335,000-$444,000 USD","x-skills-required":["Management experience leading and growing AI/ML teams","Experience deploying AI-technologies into classified environments","Expertise in deep learning techniques and the latest generative AI technologies","Strong programming skills","Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance"],"x-skills-preferred":["Experience with edge-deployed ML systems","Prior work in Defense Tech and/or Start Ups","Active U.S. Top Secret SCI security clearance"],"datePosted":"2026-04-18T15:56:00.656Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington, District of Columbia, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Management experience leading and growing AI/ML teams, Experience deploying AI-technologies into classified environments, Expertise in deep learning techniques and the latest generative AI technologies, Strong programming skills, Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance, Experience with edge-deployed ML systems, Prior work in Defense Tech and/or Start Ups, Active U.S. Top Secret SCI security clearance","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":335000,"maxValue":444000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9d9ad825-743"},"title":"Staff Machine Learning Scientist","description":"<p>We&#39;re looking for a Staff Machine Learning Scientist to join our AI Group team. 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Applicants from the Research Triangle (NC) and San Francisco Bay Area may also be considered.</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_54f58a4d-707","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Formation Bio","sameAs":"https://www.formation.bio/","logo":"https://logos.yubhub.co/formation.bio.png"},"x-apply-url":"https://job-boards.greenhouse.io/formationbio/jobs/6623947","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$170,000 - $215,000","x-skills-required":["PhD in computational sciences or life sciences","3+ years of post-academic experience in life sciences (biotech, pharma, consulting)","Strong programming skills, particularly in Python","Extensive experience in multi-modal bioinformatics analysis"],"x-skills-preferred":["Proven expertise in cloud computing environments, including proficiency with tabular and/or graph databases","Strong background in machine learning and deep learning, particularly in biological applications","Experience with large language models (LLM)","Demonstrated ability to collaborate effectively with engineering teams on production systems","Strong communication skills with proven ability to present complex technical findings to senior stakeholders"],"datePosted":"2026-04-18T15:53:58.264Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY; Boston, MA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Healthcare","skills":"PhD in computational sciences or life sciences, 3+ years of post-academic experience in life sciences (biotech, pharma, consulting), Strong programming skills, particularly in Python, Extensive experience in multi-modal bioinformatics analysis, Proven expertise in cloud computing environments, including proficiency with tabular and/or graph databases, Strong background in machine learning and deep learning, particularly in biological applications, Experience with large language models (LLM), Demonstrated ability to collaborate effectively with engineering teams on production systems, Strong communication skills with proven ability to present complex technical findings to senior stakeholders","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":170000,"maxValue":215000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_198689e4-4f1"},"title":"Technical Enablement Lead, Claude Code","description":"<p>We&#39;re looking for a Technical Enablement Lead to curate &amp; deliver the technical curriculum that lets our go-to-market teams, partner, and customers demonstrate and support Claude Code with confidence.</p>\n<p>As a Technical Enablement Lead, you&#39;ll own Claude Code enablement,building demos, labs, and content that help sellers showcase agentic coding. 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In this role, you will design, develop, and optimize software solutions for autonomous robotic systems, focusing on sensor integration, networking, and multi-agent coordination.</p>\n<p>You will work on interdisciplinary challenges, collaborate across teams, and deploy critical software in real-world environments. If you thrive in a fast-paced environment, enjoy solving complex problems, and are passionate about creating impactful robotics systems, this opportunity is for you.</p>\n<p><strong>Key Responsibilities:</strong></p>\n<ul>\n<li>Develop Mission-Critical Software: Engineer scalable and robust solutions for networking, sensor integration, and autonomy across robotic platforms.</li>\n<li>Sensor Integration: Work with a variety of sensors (e.g., cameras, LiDAR, IMUs) to enable perception, localization, and navigation.</li>\n<li>Networking Systems: Design and optimize distributed communication networks and message-passing frameworks for multi-robot coordination.</li>\n<li>Collaborate Cross-Functionally: Partner with hardware, systems, and manufacturing teams to seamlessly integrate software into physical systems.</li>\n<li>Real-World Deployment: Travel up to 25% to test, debug, and deploy systems in operational environments.</li>\n<li>Iterative Development: Contribute to the entire software lifecycle, including prototyping, implementation, testing, and deployment.</li>\n<li>Optimize Performance: Enhance system efficiency, such as improving latency, battery consumption, and resource utilization.</li>\n<li>Troubleshoot and Debug: Analyze and resolve issues in deployed systems, ensuring reliability and operational success.</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>Technical Expertise: Bachelor’s or Master’s degree in Robotics, Computer Science, Software Engineering, Mathematics, or Physics.</li>\n<li>C++ and Rust Proficiency: 2+ years of hands-on experience developing production-grade software in C++ and/or Rust.</li>\n<li>Networking Knowledge: Experience with distributed communication networks, protocols, and message standards.</li>\n<li>Sensor Integration: Proven ability to work with and integrate sensors (e.g., LiDAR, cameras, IMUs) into robotics systems.</li>\n<li>Systems-Level Thinking: Ability to navigate and contribute to complex systems and established codebases.</li>\n<li>Real-World Impact: Passion for building software that directly influences mission-critical outcomes.</li>\n<li>Travel Flexibility: Willingness to travel up to 25% to test and deploy systems.</li>\n</ul>\n<p><strong>Preferred Qualifications:</strong></p>\n<ul>\n<li>Advanced Robotics: Experience with motion planning, perception, localization, and multi-agent coordination.</li>\n<li>Simulation Expertise: Proficiency in designing Software-in-the-Loop (SIL) simulation environments.</li>\n<li>Hardware Integration: Experience working with embedded systems and physical devices.</li>\n<li>Performance Optimization: Familiarity with metrics and optimization techniques for robotics systems.</li>\n<li>Programming Skills: Additional experience with Python, and/or real-time operating systems.</li>\n<li>Machine Learning: Knowledge of AI/ML applications in robotics.</li>\n<li>Security Clearance: Active or prior U.S. Secret clearance is a plus.</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_d1096098-54d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anduril","sameAs":"https://www.anduril.com/","logo":"https://logos.yubhub.co/anduril.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/andurilindustries/jobs/5062353007","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$191,000-$253,000 USD","x-skills-required":["C++","Rust","Networking","Sensor Integration","Systems-Level Thinking","Real-World Impact","Travel Flexibility"],"x-skills-preferred":["Advanced Robotics","Simulation Expertise","Hardware Integration","Performance Optimization","Programming Skills","Machine Learning","Security Clearance"],"datePosted":"2026-04-18T15:51:49.346Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Costa Mesa, California, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C++, Rust, Networking, Sensor Integration, Systems-Level Thinking, Real-World Impact, Travel Flexibility, Advanced Robotics, Simulation Expertise, Hardware Integration, Performance Optimization, Programming Skills, Machine Learning, Security Clearance","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":191000,"maxValue":253000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_58d220e6-02a"},"title":"Senior Site Reliability Engineer, Tenant Services: Geo","description":"<p>Job Title: Senior Site Reliability Engineer, Tenant Services: Geo</p>\n<p>We are looking for a skilled Senior Site Reliability Engineer to join our Tenant Services, Geo team. 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Employee Stock Purchase Plan</li>\n<li>Growth and Development Fund</li>\n<li>Parental leave</li>\n<li>Home office support</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_58d220e6-02a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"GitLab","sameAs":"https://about.gitlab.com/","logo":"https://logos.yubhub.co/about.gitlab.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/gitlab/jobs/8490453002","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Experience operating highly-available distributed systems at scale","Hands-on experience with at least one major cloud provider","Experience with Kubernetes and its ecosystem","Experience with infrastructure as code and configuration management tools","Strong programming skills in at least one general-purpose language"],"x-skills-preferred":["Experience working with disaster recovery technologies","Experience with managed/hosted environments similar to GitLab Dedicated","Prior work on large-scale data migrations or cutovers","Hands-on experience designing and operating database replication, backup/restore, and cutover workflows","Experience with multi-tenant architectures, sharding, or routing strategies in high-traffic SaaS platforms"],"datePosted":"2026-04-18T15:51:05.184Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote, India"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Experience operating highly-available distributed systems at scale, Hands-on experience with at least one major cloud provider, Experience with Kubernetes and its ecosystem, Experience with infrastructure as code and configuration management tools, Strong programming skills in at least one general-purpose language, Experience working with disaster recovery technologies, Experience with managed/hosted environments similar to GitLab Dedicated, Prior work on large-scale data migrations or cutovers, Hands-on experience designing and operating database replication, backup/restore, and cutover workflows, Experience with multi-tenant architectures, sharding, or routing strategies in high-traffic SaaS platforms"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2ee99dcb-457"},"title":"Mission Systems Lead","description":"<p>You will lead the technical development and integration of vehicle systems for a maritime product, from initial concept through delivery. This role is crucial in ensuring that each initiative aligns with the company&#39;s strategic direction and receives the appropriate resourcing, balancing innovation with practical execution to drive the business line&#39;s success.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Owning customer success through the design and delivery of a fully operational mission system for a new maritime platform.</li>\n<li>Partnering with the Vehicle Software team to develop core sensor, actuator, and vehicle system functionality.</li>\n<li>Driving architecture selection and design for robotic mission systems, including hardware selection, compute, storage, and network architecture.</li>\n<li>Contributing to the design and development of a company-wide roadmap for mission system integration into maritime platforms.</li>\n<li>Leading teams that develop software that runs on- and off-platform, using a variety of technologies.</li>\n<li>Driving the design and implementation of development 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product delivery lifecycle including manufacturing, system acceptance, deployment, and sustainment.</li>\n<li>Familiarity with vehicle management systems.</li>\n<li>Familiarity with System Engineering concepts.</li>\n</ul>\n<p>Preferred qualifications include:</p>\n<ul>\n<li>Bachelor&#39;s degree in Robotics, Mechatronics, Computer Science, Engineering, or a relevant field.</li>\n<li>Experience in a leadership position within a high-performing technology organization.</li>\n<li>Systems and/or application programming skills including algorithms, data structures, concurrency, and optimization.</li>\n<li>Experience troubleshooting and analyzing remotely deployed software systems.</li>\n<li>Capacity to work holistically on software-enabled capabilities up and down the software stack and through lifecycle through design, implementation, operation, and sustainment.</li>\n<li>Capacity to act as the technical owner for an entire mission system, including stakeholder and customer engagement, 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As a key member of the Mission Autonomy Engineering team, you will design, implement, and evolve the means by which Agents interact with classical software systems. Your primary responsibility will be to contribute to test and eval infrastructure, deployment software, agent tool calling, prompt engineering, and other agent techniques in order to achieve best-in-class performance with frontier and edge deployed models.</p>\n<p>The ideal candidate will have a strong background in computer science, robotics, machine learning, or a related field, and experience integrating agents into classical systems. 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You will also be comfortable working in a fast-paced environment and adapting to changing priorities.</p>\n<p>If you are a motivated and experienced engineer looking to join a dynamic team and contribute to cutting-edge technology, we encourage you to apply.</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_6170c199-145","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anduril Industries","sameAs":"https://anduril.com","logo":"https://logos.yubhub.co/anduril.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/andurilindustries/jobs/4792948007","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$191,000-$253,000 USD","x-skills-required":["Deep knowledge of the implementation and use of LLMs","Experience integrating agents into classical systems","Strong programming skills in Python or other core languages (Java, Go etc)","PhD or Master's degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience"],"x-skills-preferred":["Experience with simulation or real-world validation for autonomous vehicles","Novel application track record and experience including first author publications, participation in peer reviewed conferences, contribution to open source projects, and demonstrated contribution to the ML and AI community","Experience in multi-modal sensor data processing (e.g., cameras, LiDAR, radar)","Familiarity with ML Ops best practices, including model versioning and reproducible research pipelines","Familiarity with C/C++"],"datePosted":"2026-04-18T15:42:55.696Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Costa Mesa, California, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Deep knowledge of the implementation and use of LLMs, Experience integrating agents into classical systems, Strong programming skills in Python or other core languages (Java, Go etc), PhD or Master's degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience, Experience with simulation or real-world validation for autonomous vehicles, Novel application track record and experience including first author publications, participation in peer reviewed conferences, contribution to open source projects, and demonstrated contribution to the ML and AI community, Experience in multi-modal sensor data processing (e.g., cameras, LiDAR, radar), Familiarity with ML Ops best practices, including model versioning and reproducible research pipelines, Familiarity with C/C++","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":191000,"maxValue":253000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_73e0f7a0-d1b"},"title":"Infrastructure Engineer, Sandboxing","description":"<p>We are seeking an experienced Infrastructure Engineer to join our Sandboxing team within the Research organization. In this role, you&#39;ll build and scale the systems that enable researchers to safely execute and experiment with AI-generated code and interactions in isolated environments.</p>\n<p>As our models become more capable, the infrastructure supporting secure execution environments becomes increasingly critical. You&#39;ll work on distributed systems that must operate reliably at significant scale while maintaining strong security boundaries. Your work will directly support Anthropic&#39;s mission to develop AI systems that are safe, beneficial, and trustworthy.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design, build, and operate distributed backend systems that power secure sandboxed execution environments</li>\n<li>Scale infrastructure to meet growing research and product demands while maintaining reliability and performance</li>\n<li>Implement and maintain serverless architectures and container orchestration systems</li>\n<li>Collaborate with research teams to understand requirements and translate them into robust infrastructure solutions</li>\n<li>Develop monitoring, alerting, and observability systems to ensure operational excellence</li>\n<li>Participate in on-call rotations and incident response to maintain system reliability</li>\n<li>Contribute to infrastructure automation and tooling that improves developer productivity</li>\n<li>Partner with security teams to ensure sandboxing infrastructure maintains appropriate isolation guarantees</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>Have 5+ years of experience building and operating backend infrastructure at scale</li>\n<li>Have deep expertise in distributed systems design and implementation</li>\n<li>Have strong operational experience, including debugging complex production issues</li>\n<li>Are proficient with cloud platforms, particularly GCP/GCS (experience with AWS or Azure is also valuable)</li>\n<li>Have experience with containerization technologies (Docker, Kubernetes) and understand their security implications</li>\n<li>Are comfortable working with infrastructure as code and modern DevOps practices</li>\n<li>Have strong programming skills in languages such as Python, Go, or Rust</li>\n<li>Are results-oriented with a bias towards flexibility and impact</li>\n<li>Care about the societal impacts of your work and are motivated by Anthropic&#39;s mission</li>\n</ul>\n<p>Strong candidates may also have experience with:</p>\n<ul>\n<li>Serverless architectures and functions-as-a-service platforms (Cloud Functions, Cloud Run, Lambda)</li>\n<li>Designing and implementing secure multi-tenant systems</li>\n<li>High-performance computing environments or ML infrastructure</li>\n<li>Linux systems internals, including namespaces, cgroups, and seccomp</li>\n<li>Network security and isolation techniques</li>\n<li>Building systems that support research workflows and rapid iteration</li>\n</ul>\n<p>The annual compensation range for this role is $300,000-$405,000 USD.</p>\n<p>We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.</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_73e0f7a0-d1b","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/5030680008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$300,000-$405,000 USD","x-skills-required":["distributed systems design and implementation","cloud platforms (GCP/GCS)","containerization technologies (Docker, Kubernetes)","infrastructure as code and modern DevOps practices","strong programming skills in languages such as Python, Go, or Rust"],"x-skills-preferred":["serverless architectures and functions-as-a-service platforms","secure multi-tenant systems","high-performance computing environments or ML infrastructure","Linux systems internals","network security and isolation techniques"],"datePosted":"2026-04-18T15:40:19.102Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"distributed systems design and implementation, cloud platforms (GCP/GCS), containerization technologies (Docker, Kubernetes), infrastructure as code and modern DevOps practices, strong programming skills in languages such as Python, Go, or Rust, serverless architectures and functions-as-a-service platforms, secure multi-tenant systems, high-performance computing environments or ML infrastructure, Linux systems internals, network security and isolation techniques","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":300000,"maxValue":405000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_23131624-8f0"},"title":"Forward Deployed Engineer, Applied AI","description":"<p>As a Forward Deployed Engineer at Anthropic, you will be part of our Applied AI team, embedding directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real-world business problems.</p>\n<p>Working closely with our Post-Sales, Product, and Engineering teams, you&#39;ll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements.</li>\n<li>Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows.</li>\n<li>Provide white-glove deployment support for Anthropic products in enterprise environments.</li>\n<li>Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams.</li>\n<li>Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks.</li>\n<li>Build long-term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement.</li>\n<li>Travel frequently (25-50%) to customer sites to build in-person with customers.</li>\n<li>Be a champion for Anthropic&#39;s mission in the field.</li>\n</ul>\n<p>You May Be a Good Fit If You Have:</p>\n<ul>\n<li>4+ years of experience in a technical, customer-facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. 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Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content.</p>\n<p>You are a talented engineering professional with a deep passion for leveraging simulation software to solve complex challenges. You thrive in dynamic environments, demonstrating strong technical acumen and the ability to build trusted relationships with customers. Your experience spans across electrical engineering and advanced simulation tools, and you possess a comprehensive understanding of industry applications, including IC and 3DIC design, power integrity, signal integrity, and EMI.</p>\n<p>What You’ll Be Doing:</p>\n<ul>\n<li><p>Lead and assist in coordinating technical activities throughout sales opportunities, including customer meetings, product presentations, demonstrations, and evaluations.</p>\n</li>\n<li><p>Analyze customer technical needs, infrastructure, operations, and engineering workflows to identify optimal solutions.</p>\n</li>\n<li><p>Create and demonstrate simulation solutions that streamline workflows and support the software sales process.</p>\n</li>\n<li><p>Participate in internal initiatives to enhance solution suites, presales/sales enablement, and personal professional development.</p>\n</li>\n<li><p>Articulate Synopsys&#39; value proposition across its portfolio of products, tailoring messaging to varied customer requirements.</p>\n</li>\n<li><p>Instruct introductory and intermediate training classes on Synopsys product usage, fostering knowledge and adoption among customers.</p>\n</li>\n<li><p>Develop elegant, practical solutions for complex business problems by collaborating with cross-functional teams.</p>\n</li>\n<li><p>Build technical credibility with customers and translate their needs into actionable product development requests.</p>\n</li>\n<li><p>Deliver hands-on deployment services, ensuring customer success metrics are achieved and exceeded.</p>\n</li>\n<li><p>Perform other duties as assigned to support customer engagement and product excellence.</p>\n</li>\n</ul>\n<p>The Impact You Will Have:</p>\n<ul>\n<li><p>Drive adoption of Synopsys software solutions, enabling customers to solve engineering challenges efficiently.</p>\n</li>\n<li><p>Facilitate successful sales outcomes by providing expert technical support and guidance throughout the opportunity lifecycle.</p>\n</li>\n<li><p>Enhance customer satisfaction and loyalty by delivering tailored, high-impact simulation solutions.</p>\n</li>\n<li><p>Contribute to product innovation by translating real-world customer needs into development requests.</p>\n</li>\n<li><p>Support cross-team collaboration, enriching the solution suite and enabling continuous improvement.</p>\n</li>\n<li><p>Elevate Synopsys’s reputation as a trusted partner in engineering simulation and product development.</p>\n</li>\n<li><p>Empower customers to deliver radically better products through advanced simulation and technical expertise.</p>\n</li>\n</ul>\n<p>What You’ll Need:</p>\n<ul>\n<li><p>Master’s degree in Electrical Engineering or a related technical discipline.</p>\n</li>\n<li><p>Minimum of 5 years’ experience in an engineering software environment; 3 years is a plus.</p>\n</li>\n<li><p>Demonstrated proficiency with Synopsys software or similar commercial CAE, CAD, EDA packages.</p>\n</li>\n<li><p>Strong knowledge of Power Integrity (PI), Signal Integrity (SI), and EMI simulation and measurement.</p>\n</li>\n<li><p>Exceptional interpersonal and communication skills, including webinar and presentation facilitation.</p>\n</li>\n<li><p>Fluent English writing and presentation skills.</p>\n</li>\n<li><p>Logical problem-solving approach with clear communication of solutions to customers.</p>\n</li>\n<li><p>Professional image and business acumen in customer interactions.</p>\n</li>\n<li><p>Organizational and follow-up skills with a sense of urgency.</p>\n</li>\n<li><p>Python programming skills and IC/3DIC design knowledge are a plus.</p>\n</li>\n<li><p>Ability to travel up to 60% as required.</p>\n</li>\n</ul>\n<p>Who You Are:</p>\n<ul>\n<li><p>Customer-focused and service-oriented, always striving for excellence.</p>\n</li>\n<li><p>Self-motivated with a passion for technical innovation and continuous learning.</p>\n</li>\n<li><p>Collaborative, able to work effectively across teams and disciplines.</p>\n</li>\n<li><p>Adaptable and resilient, comfortable handling multiple projects and changing priorities.</p>\n</li>\n<li><p>Detail-oriented and organized, delivering high-quality solutions on time.</p>\n</li>\n<li><p>Strong communicator, capable of engaging diverse audiences and fostering technical credibility.</p>\n</li>\n<li><p>Professional, projecting confidence and expertise in all customer interactions.</p>\n</li>\n</ul>\n<p>The Team You’ll Be A Part Of:</p>\n<p>You will join an energetic, collaborative team of engineering professionals focused on driving customer success with ANSYS software solutions. The team is committed to continuous innovation, professional growth, and delivering exceptional value to regional accounts. Together, you will tackle complex engineering challenges, support sales initiatives, and contribute to the development and enhancement of industry-leading simulation products.</p>\n<p>Rewards and Benefits:</p>\n<p>We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. 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_a2a284e6-433","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/taipei/applications-engineering-staff-engineer-si-pi/44408/93512569216","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Master's degree in Electrical Engineering or a related technical discipline","Minimum of 5 years' experience in an engineering software environment","Demonstrated proficiency with Synopsys software or similar commercial CAE, CAD, EDA packages","Strong knowledge of Power Integrity (PI), Signal Integrity (SI), and EMI simulation and measurement","Exceptional interpersonal and communication skills","Fluent English writing and presentation skills","Logical problem-solving approach with clear communication of solutions to customers","Professional image and business acumen in customer interactions","Organizational and follow-up skills with a sense of urgency","Python programming skills and IC/3DIC design knowledge are a plus"],"x-skills-preferred":[],"datePosted":"2026-04-05T13:22:33.206Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Taipei"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Master's degree in Electrical Engineering or a related technical discipline, Minimum of 5 years' experience in an engineering software environment, Demonstrated proficiency with Synopsys software or similar commercial CAE, CAD, EDA packages, Strong knowledge of Power Integrity (PI), Signal Integrity (SI), and EMI simulation and measurement, Exceptional interpersonal and communication skills, Fluent English writing and presentation skills, Logical problem-solving approach with clear communication of solutions to customers, Professional image and business acumen in customer interactions, Organizational and follow-up skills with a sense of urgency, Python programming skills and IC/3DIC design knowledge are a plus"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_942bad4c-0f8"},"title":"Applications Engineering, Sr Engineer (STA/ECO Engineer)","description":"<p>Our Hardware Engineers at Synopsys are responsible for designing and developing cutting-edge semiconductor solutions. They work on intricate tasks such as chip architecture, circuit design, and verification to ensure the efficiency and reliability of semiconductor products. These engineers play a crucial role in advancing technology and enabling innovations in various industries.</p>\n<p><strong>Job Description</strong></p>\n<p>We are seeking a highly motivated engineering professional with a passion for solving complex technical challenges in the semiconductor domain. You will apply engineering expertise to support EDA product specifications and deployment for leading semiconductor design houses and foundries. You will engage directly with global customers, IP providers, and foundries to understand and address design challenges for cutting-edge SoCs and 3DICs.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Apply engineering expertise to support EDA product specifications and deployment for leading semiconductor design houses and foundries.</li>\n<li>Engage directly with global customers, IP providers, and foundries to understand and address design challenges for cutting-edge SoCs and 3DICs.</li>\n<li>Work closely with product development teams to influence the creation and evolution of state-of-the-art EDA products.</li>\n<li>Deploy and support Synopsys Seascape platform – the industry’s first and only true big-data design platform.</li>\n<li>Provide expert guidance and consultation to customers, solving STA, Power, Signal, and Reliability challenges across Chip-Package-System at advanced nodes.</li>\n<li>Own customer problems, engage proactively with selected accounts, and deliver comprehensive technical solutions throughout the sales opportunity lifecycle.</li>\n<li>Gather and analyze customer requirements to drive enhancements in Synopsys software, collaborating with product teams to translate needs into new product capabilities.</li>\n<li>Participate in internal corporate initiatives, sharing knowledge and creating best practices within and across disciplines.</li>\n<li>Develop EDA best practices, solutions, and FAQs for the knowledge base to support both internal and external stakeholders.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>At least 3+ years of experience in the semiconductor domain, with a strong background in STA analysis, ECO, timing closure, or PDN at block or SoC level.</li>\n<li>Proficiency in providing technical support for PDN and/or Timing Signoff domains, with proven ability to assist clients and resolve issues.</li>\n<li>Hands-on experience with industry-leading tools: PrimeTime, RHSC, PrimeClosure, PTECO, Tweaker.</li>\n<li>Knowledge of PDN implementation and semiconductor design flows is highly desirable.</li>\n<li>Strong programming skills to automate workflows and develop solutions for complex engineering challenges.</li>\n</ul>\n<p><strong>Team</strong></p>\n<p>You will join the Signoff Support Group, a dynamic team responsible for deploying and supporting Synopsys’ broad portfolio of design analysis and signoff solutions. The team’s core focus spans static timing analysis, advanced signal integrity, power and power integrity, parasitic extraction, ECO closure, transistor-level analysis, library characterization, and Multiphysics. You will collaborate with software developers, architects, and product engineers to drive the development and deployment of industry-leading products, contributing to Synopsys’ continued success in the semiconductor industry.</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_942bad4c-0f8","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/noida/applications-engineering-sr-engineer-sta-eco-engineer/44408/91932946624","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["STA analysis","ECO","timing closure","PDN","PrimeTime","RHSC","PrimeClosure","PTECO","Tweaker"],"x-skills-preferred":["semiconductor design flows","programming skills"],"datePosted":"2026-03-09T11:07:46.864Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Noida, Uttar Pradesh, India"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"STA analysis, ECO, timing closure, PDN, PrimeTime, RHSC, PrimeClosure, PTECO, Tweaker, semiconductor design flows, programming skills"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_98d7335f-4d4"},"title":"Applied AI Engineer","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>Working closely with our Sales, Product, and Engineering teams, you&#39;ll guide customers from technical discovery through successful deployment. You&#39;ll combine deep engineering expertise with customer-facing skills to help customers understand the potential of working with LLMs and build innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.</strong></p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Serve as a technical advisor to Anthropic customers as they deploy new products &amp; workflows with our models: from discovery through deployment, coordinating internally across multiple teams to drive customer success</li>\n</ul>\n<ul>\n<li>Partner with account executives to deeply understand customer product requirements and architect technical solutions, ensuring alignment between business objectives and technical implementation</li>\n</ul>\n<ul>\n<li>Guide technical architecture decisions and help customers build state-of-the-art products &amp; workflows with LLMs via API</li>\n</ul>\n<ul>\n<li>Develop customized pilots, prototypes, and evaluation suites that make the case for customer deployment of our models into customer products and workflows via our API</li>\n</ul>\n<ul>\n<li>Lead hands-on technical workshops and code reviews with customer engineering teams</li>\n</ul>\n<ul>\n<li>Identify common design patterns and contribute insights back to our Product and Engineering teams</li>\n</ul>\n<ul>\n<li>Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks</li>\n</ul>\n<ul>\n<li>Travel occasionally to customer sites for workshops, implementation support, and building relationships</li>\n</ul>\n<ul>\n<li>Attend conferences, lead speaking engagements, write blog posts and white papers on topics surrounding the AI space</li>\n</ul>\n<p><strong>You may be a good fit if you have:</strong></p>\n<ul>\n<li>4+ years of experience in a technical roles such as Customer Engineer, Forward Deployed Engineer, Software Engineer or Technical Product Manager with a desire to work closely with customers</li>\n</ul>\n<ul>\n<li>Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale</li>\n</ul>\n<ul>\n<li>Strong programming skills with proficiency in Python and experience building production applications</li>\n</ul>\n<ul>\n<li>Expertise working with common LLM implementation patterns, prompt engineering, evaluation frameworks, agent frameworks, and retrieval frameworks.</li>\n</ul>\n<ul>\n<li>Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems</li>\n</ul>\n<ul>\n<li>High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity</li>\n</ul>\n<ul>\n<li>Passion for advancing safe, beneficial AI systems through creative technical applications</li>\n</ul>\n<ul>\n<li>Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach</li>\n</ul>\n<p><strong>Deadline to apply: None. Applications will be reviewed on a rolling basis.</strong></p>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements: We require at least a Bachelor&#39;s degree in a related field or equivalent experience. 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.</strong></p>\n<p><strong>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.</strong></p>\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. We think AI systems like the ones we&#39;re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.</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 AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We&#39;re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>\n<p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our</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_98d7335f-4d4","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/5055488008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Production experience with LLMs","Advanced prompt engineering","Agent development","Evaluation frameworks","Deployment at scale","Strong programming skills with proficiency in Python","Experience building production applications","Expertise working with common LLM implementation patterns","Prompt engineering","Evaluation frameworks","Agent frameworks","Retrieval frameworks"],"x-skills-preferred":["Intellectual openness","High cooperation mindset","Passion for advancing safe, beneficial AI systems","Exceptional communication skills"],"datePosted":"2026-03-08T13:59:34.314Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tokyo, Japan"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Production experience with LLMs, Advanced prompt engineering, Agent development, Evaluation frameworks, Deployment at scale, Strong programming skills with proficiency in Python, Experience building production applications, Expertise working with common LLM implementation patterns, Prompt engineering, Evaluation frameworks, Agent frameworks, Retrieval frameworks, Intellectual openness, High cooperation mindset, Passion for advancing safe, beneficial AI systems, Exceptional communication skills"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_74e83779-8ca"},"title":"Applied AI Engineer","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>Working closely with our Sales, Product, and Engineering teams, you&#39;ll guide customers from technical discovery through successful deployment. You&#39;ll combine deep engineering expertise with customer-facing skills to help customers understand the potential of working with LLMs and build innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.</strong></p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Serve as a technical advisor to Anthropic customers as they deploy new products &amp; workflows with our models: from discovery through deployment, coordinating internally across multiple teams to drive customer success</li>\n<li>Partner with account executives to deeply understand customer product requirements and architect technical solutions, ensuring alignment between business objectives and technical implementation</li>\n<li>Guide technical architecture decisions and help customers build state-of-the-art products &amp; workflows with LLMs via API</li>\n<li>Develop customized pilots, prototypes, and evaluation suites that make the case for customer deployment of our models into customer products and workflows via our API</li>\n<li>Lead hands-on technical workshops and code reviews with customer engineering teams</li>\n<li>Identify common design patterns and contribute insights back to our Product and Engineering teams</li>\n<li>Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks</li>\n<li>Travel occasionally to customer sites for workshops, implementation support, and building relationships</li>\n<li>Attend conferences, lead speaking engagements, write blog posts and white papers on topics surrounding the AI space</li>\n</ul>\n<p><strong>You may be a good fit if you have:</strong></p>\n<ul>\n<li>4+ years of experience in a technical roles such as Customer Engineer, Forward Deployed Engineer, Software Engineer or Technical Product Manager with a desire to work closely with customers</li>\n<li>Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale</li>\n<li>Strong programming skills with proficiency in Python and experience building production applications</li>\n<li>Expertise working with common LLM implementation patterns, prompt engineering, evaluation frameworks, agent frameworks, and retrieval frameworks.</li>\n<li>Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems</li>\n<li>High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity</li>\n<li>Passion for advancing safe, beneficial AI systems through creative technical applications</li>\n<li>Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach</li>\n<li>Fluent in both Korean and English</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p>Education requirements: We require at least a Bachelor&#39;s degree in a related field or equivalent experience. 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.</p>\n<p>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.</p>\n<p>We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work. We think AI systems like the ones we&#39;re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.</p>\n<p>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.</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 AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We&#39;re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>\n<p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including</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_74e83779-8ca","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/5014500008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Production experience with LLMs","Advanced prompt engineering","Agent development","Evaluation frameworks","Deployment at scale","Strong programming skills with proficiency in Python","Experience building production applications","Expertise working with common LLM implementation patterns","Prompt engineering","Evaluation frameworks","Agent frameworks","Retrieval frameworks"],"x-skills-preferred":["Intellectual openness","High cooperation mindset","Passion for advancing safe, beneficial AI systems","Exceptional communication skills","Fluent in both Korean and English"],"datePosted":"2026-03-08T13:57:43.523Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seoul, South Korea"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Production experience with LLMs, Advanced prompt engineering, Agent development, Evaluation frameworks, Deployment at scale, Strong programming skills with proficiency in Python, Experience building production applications, Expertise working with common LLM implementation patterns, Prompt engineering, Evaluation frameworks, Agent frameworks, Retrieval frameworks, Intellectual openness, High cooperation mindset, Passion for advancing safe, beneficial AI systems, Exceptional communication skills, Fluent in both Korean and English"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f45d2240-92e"},"title":"Forward Deployed Engineer, Applied AI","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>Responsibilities</strong></p>\n<p>As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models.</p>\n<p>Working closely with our Post-Sales, Product, and Engineering teams, you&#39;ll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.</p>\n<p><strong>You May Be a Good Fit If You Have</strong></p>\n<ul>\n<li>4+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. Former technical founders are also encouraged to apply.</li>\n</ul>\n<ul>\n<li>Native or C1 German speaker with fluent English proficiency</li>\n</ul>\n<ul>\n<li>Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.</li>\n</ul>\n<ul>\n<li>Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc) and experience shipping production applications</li>\n</ul>\n<ul>\n<li>High agency with an ability to navigate ambiguity present in complex organisations.</li>\n</ul>\n<ul>\n<li>High cooperation mindset for cross-organisational collaboration, balancing competing priorities with integrity.</li>\n</ul>\n<ul>\n<li>Passion for advancing safe, beneficial AI systems through creative technical applications.</li>\n</ul>\n<ul>\n<li>Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach.</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</ul>\n<ul>\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</ul>\n<ul>\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 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_f45d2240-92e","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/5121561008","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"€205.000 - €220.000EUR","x-skills-required":["Python","LLMs","prompt engineering","agent development","evaluation frameworks","deployment at scale","strong programming skills"],"x-skills-preferred":["TypeScript","Java","German language"],"datePosted":"2026-03-08T13:45:37.549Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Munich, Germany"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, LLMs, prompt engineering, agent development, evaluation frameworks, deployment at scale, strong programming skills, TypeScript, Java, German language"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d4cc9e89-c94"},"title":"Infrastructure Engineer, Sandboxing","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 is seeking an experienced Infrastructure Engineer to join our Sandboxing team within the Research organisation. In this role, you&#39;ll build and scale the systems that enable researchers to safely execute and experiment with AI-generated code and interactions in isolated environments.</p>\n<p>As our models become more capable, the infrastructure supporting secure execution environments becomes increasingly critical. You&#39;ll work on distributed systems that must operate reliably at significant scale while maintaining strong security boundaries. 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However, some roles may require more time in our offices.</p>\n<p><strong>Visa sponsorship</strong></p>\n<p>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><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong></p>\n<p>Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</p>\n<p><strong>Your safety matters to us.</strong></p>\n<p>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.</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 AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. 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We&#39;re looking for people with solid engineering skills (for example designing, implementing, and improving a massive-scale distributed machine learning system), writing bug-free machine learning code, and building the science behind the algorithms employed.</p>\n<p><strong>We expect you to:</strong></p>\n<ul>\n<li>Have strong programming skills</li>\n</ul>\n<ul>\n<li>Have experience working in large distributed systems</li>\n</ul>\n<ul>\n<li>Be excited about OpenAI’s approach to research</li>\n</ul>\n<p><strong>Nice to have:</strong></p>\n<ul>\n<li>Interested in and thoughtful about the impacts of AI technology</li>\n</ul>\n<ul>\n<li>Past experience in creating high-performance implementations of deep learning algorithms</li>\n</ul>\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. 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The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture.</p>\n<p><strong>About the Role</strong></p>\n<p>We&#39;re seeking an exceptional Principal-level Offensive Security Engineer to challenge and strengthen OpenAI&#39;s security posture. 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The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI&#39;s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI.</p>\n<p><strong>About the Role</strong></p>\n<p>We&#39;re looking for a Hardware Development Infrastructure Engineer to build and run the infrastructure that powers OpenAI&#39;s hardware development lifecycle. You&#39;ll work closely with hardware teams to translate their workflows into scalable, observable, and automated systems, and then own the platforms that support them over time.</p>\n<p>This role sits at the intersection of hardware, cloud, HPC, DevOps, and data. You&#39;ll design regression systems, CI/CD pipelines, cloud and cluster platforms, and the data foundations that make development efficiency visible and measurable.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Partner with hardware teams on workflows and tooling: Embed with teams across DV, PD, emulation, formal, and software to understand development flows, identify failure modes, and deliver tooling (CLIs, services, APIs) that reduces manual work and accelerates iteration.</li>\n</ul>\n<ul>\n<li>Build and operate regression systems at scale: Own regressions end-to-end—from definition and scheduling to execution, results ingestion, triage, and reporting—while improving throughput, reproducibility, and flake reduction.</li>\n</ul>\n<ul>\n<li>Own CI/CD for infrastructure and tooling: Design and operate pipelines for infrastructure-as-code, services, images, and cluster configuration changes, including testing, gated deploys, staged rollouts, and safe rollback.</li>\n</ul>\n<ul>\n<li>Run cloud and HPC platforms: Design, provision, and operate cloud infrastructure (Azure preferred) and HPC/HTC clusters (e.g., Slurm), tuning scheduling policies, autoscaling, node lifecycles, and cost-performance tradeoffs.</li>\n</ul>\n<ul>\n<li>Build data foundations and visibility: Develop ETL pipelines to ingest metrics, logs, and results; operate databases for workflow metadata and outcomes; and build dashboards that surface efficiency, utilization, and reliability trends.</li>\n</ul>\n<ul>\n<li>Drive operational excellence: Establish monitoring and alerting, lead incident response and postmortems, maintain runbooks, and produce clear, durable documentation.</li>\n</ul>\n<p><strong>You might thrive in this role if you have:</strong></p>\n<ul>\n<li>Familiarity with chip development workflows and at least one deep EDA domain (e.g., DV, PD, emulation, or formal verification).</li>\n</ul>\n<p>Strong infrastructure fundamentals, including cloud platforms, networking, security, performance, and automation.</p>\n<ul>\n<li>Experience operating cloud environments (Azure preferred; AWS, GCP, or OCI acceptable) with strong infrastructure-as-code practices (e.g., Terraform, Bicep; configuration management tools a plus).</li>\n</ul>\n<p>Strong programming skills (Python preferred) and solid software engineering and scripting practices.</p>\n<ul>\n<li>Experience building and operating CI/CD systems (e.g., Jenkins, Buildkite, GitHub Actions), including testing and release workflows.</li>\n</ul>\n<ul>\n<li>Database experience (e.g., Postgres or MySQL), including schema design, migrations, indexing, and operational safety.</li>\n</ul>\n<ul>\n<li>Clear communicator with strong judgment—able to explain tradeoffs, propose pragmatic solutions, and articulate a realistic vision for scalable infrastructure</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Experience operating Slurm or other large-scale cluster schedulers.</li>\n</ul>\n<ul>\n<li>Experience with enterprise authentication and directory services (e.g., Entra ID, LDAP, FreeIPA, SSSD).</li>\n</ul>\n<ul>\n<li>Experience building or operating backend and middleware systems</li>\n</ul>\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>Compensation</strong></p>\n<ul>\n<li>$260K – $335K • 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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The fleet team focuses on running the world’s largest, most reliable, and frictionless GPU fleet to support OpenAI’s general purpose model training and deployment. Work on this team ranges from</p>\n<ul>\n<li>Maximizing GPUs doing useful work by building user-friendly scheduling and quota systems</li>\n</ul>\n<ul>\n<li>Running a reliable and low maintenance platform by building push-button automation for kubernetes cluster provisioning and upgrades</li>\n</ul>\n<ul>\n<li>Supporting research workflows with service frameworks and deployment systems</li>\n</ul>\n<ul>\n<li>Ensuring fast model startup times though high performance snapshot delivery across blob storage down to hardware caching</li>\n</ul>\n<ul>\n<li>Much more!</li>\n</ul>\n<p><strong>About the Role</strong></p>\n<p>As an engineer within Fleet infrastructure, you will design, write, deploy, and operate infrastructure systems for model deployment and training on one of the world’s largest GPU fleet. The scale is immense, the timelines are tight, and the organization is moving fast; this is an opportunity to shape a critical system in support of OpenAI&#39;s mission to advance AI capabilities responsibly.</p>\n<p>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.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Design, implement and operate components of our compute fleet including job scheduling, cluster management, snapshot delivery, and CI/CD systems.</li>\n</ul>\n<ul>\n<li>Interface with researchers and product teams to understand workload requirements</li>\n</ul>\n<ul>\n<li>Collaborate with hardware, infrastructure, and business teams to provide a high utilization and high reliability service</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have experience with hyperscale compute systems</li>\n</ul>\n<ul>\n<li>Possess strong programming skills</li>\n</ul>\n<ul>\n<li>Have experience working in public clouds (especially Azure)</li>\n</ul>\n<ul>\n<li>Have experience working in Kubernetes</li>\n</ul>\n<ul>\n<li>Execution focused mentality paired with a rigorous focus on user requirements</li>\n</ul>\n<ul>\n<li>As a bonus, have an understanding of AI/ML workloads</li>\n</ul>\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. 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Scalability, reliability, security, and usability are the core concerns of the team.</p>\n<p><strong>About the Role</strong></p>\n<p>As an engineer on the Storage Infrastructure team, you will design, build, and operate Exascale systems to scalably and reliably manage our research data across multiple regions.</p>\n<p>We’re looking for distributed systems engineers who have worked on exascale data management systems or distributed filesystems.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Develop software to manage exascale data, and make it accessible to researchers</li>\n</ul>\n<ul>\n<li>Drive the reliability, predictability, and cost effectiveness of our storage systems</li>\n</ul>\n<ul>\n<li>Interface with researchers to understand and accommodate data use-cases</li>\n</ul>\n<ul>\n<li>Ensure the security of our critical datasets</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have a deep understanding of distributed systems principles and a proven track record in designing and building scalable, reliable, and secure storage solutions.</li>\n</ul>\n<ul>\n<li>Possess strong programming skills</li>\n</ul>\n<ul>\n<li>Have experience working in public clouds (especially Azure)</li>\n</ul>\n<ul>\n<li>Are familiar with AI/ML data access patterns</li>\n</ul>\n<ul>\n<li>Bias for action and comfort building in a fast paced, dynamic environment</li>\n</ul>\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. 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The team is composed of experts in software, hardware, and firmware, collaborating across continents to deliver industry-leading solutions. Together, you’ll tackle ambitious projects that shape the future of chip design and verification, leveraging collective expertise and a supportive, inclusive culture.</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. 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