{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/memory"},"x-facet":{"type":"skill","slug":"memory","display":"Memory","count":86},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5fd90acd-a0f"},"title":"Performance Modeling Engineer ~2","description":"<p>We are seeking a Performance Modeling Engineer to support the development and application of modeling tools used to evaluate AI system performance and inform architectural decisions.</p>\n<p>In this role, you will partner closely with Senior Performance Modeling Engineers and the Performance Modeling Lead to analyze system behavior, run simulations and analytical models, and help evaluate tradeoffs across compute, memory, networking, and storage.</p>\n<p>This role is ideal for early-career engineers with 1–2 years of experience in software engineering, systems analysis, or performance modeling who are excited to grow in large-scale infrastructure and hardware/software systems.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Support the development and maintenance of performance modeling tools and frameworks</li>\n<li>Assist in building models to evaluate system behavior across compute, memory, networking, and interconnect subsystems</li>\n<li>Help analyze distributed system scaling behavior and identify performance bottlenecks</li>\n<li>Run simulations and analytical models to support architecture and infrastructure decisions</li>\n<li>Partner with senior engineers to evaluate design tradeoffs across hardware and system components</li>\n<li>Interpret modeling outputs and help translate findings into clear recommendations</li>\n<li>Validate models using benchmarking data and real system performance measurements</li>\n<li>Improve modeling workflows, documentation, and usability for broader team adoption</li>\n<li>Collaborate cross-functionally with hardware, infrastructure, and architecture teams</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>1–2 years of experience in software engineering, systems modeling, performance analysis, or related technical work</li>\n<li>Strong programming skills and experience building technical tools, scripts, or frameworks</li>\n<li>Familiarity with system architecture fundamentals such as compute, memory, and networking</li>\n<li>Ability to reason about system performance, bottlenecks, and scaling behavior</li>\n<li>Strong analytical and problem-solving skills with comfort working in quantitative environments</li>\n<li>Ability to learn quickly and work effectively across technical teams</li>\n</ul>\n<p>Preferred Skills:</p>\n<ul>\n<li>Exposure to AI/ML workloads, distributed systems, or large-scale infrastructure</li>\n<li>Experience with simulation tools, benchmarking, profiling, or performance analysis</li>\n<li>Familiarity with data center systems, server architecture, or hardware platforms</li>\n<li>Interest in system architecture and hardware/software co-design</li>\n<li>Internship or early professional experience in performance engineering, infrastructure, or systems design</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_5fd90acd-a0f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://openai.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/4f6be73e-9a1d-4ec6-8b0e-b2af0b4becfb","x-work-arrangement":"hybrid","x-experience-level":"entry","x-job-type":"Full time","x-salary-range":"$266K – $445K","x-skills-required":["software engineering","systems modeling","performance analysis","technical tools","scripts","frameworks","system architecture","compute","memory","networking"],"x-skills-preferred":["AI/ML workloads","distributed systems","large-scale infrastructure","simulation tools","benchmarking","profiling","data center systems","server architecture","hardware platforms","hardware/software co-design"],"datePosted":"2026-04-24T12:22:21.612Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco; 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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<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>OpenAI’s Hardware organization develops system and infrastructure solutions optimized for advanced AI workloads. We collaborate across research, software, and external hardware partners to design and deploy next-generation AI systems at scale.</p>\n<p><strong>About the Role</strong></p>\n<p>We are seeking a 3P Hardware Architecture Expert with deep expertise in GPU and accelerator architectures to engage directly with silicon vendors and guide hardware decisions for AI infrastructure.</p>\n<p>In this role, you will evaluate architectural tradeoffs across compute, memory, and interconnect systems, translating vendor specifications into real-world workload impact. You will play a critical role in early silicon evaluation, benchmarking, and performance validation, helping ensure that next-generation hardware meets the needs of our workloads.</p>\n<p>This role is highly hands-on and requires both deep technical understanding and the ability to engage at a high level with partners such as NVIDIA and AMD on architectural direction and design tradeoffs.</p>\n<p><strong>Key Responsibilities</strong></p>\n<ul>\n<li>Engage deeply with silicon vendors (e.g NVIDIA &amp; AMD) on GPU and accelerator architecture tradeoffs.</li>\n</ul>\n<ul>\n<li>Analyze and interpret performance, power, and efficiency characteristics of next-generation hardware.</li>\n</ul>\n<ul>\n<li>Translate vendor specifications into expected real-world performance for AI workloads.</li>\n</ul>\n<ul>\n<li>Evaluate architectural aspects including:</li>\n</ul>\n<ul>\n<li>compute throughput and utilization</li>\n</ul>\n<ul>\n<li>memory systems (HBM, cache hierarchies, bandwidth constraints)</li>\n</ul>\n<ul>\n<li>data types and precision tradeoffs (FP16, BF16, FP8, etc.)</li>\n</ul>\n<ul>\n<li>interconnect and scaling behavior.</li>\n</ul>\n<ul>\n<li>Run benchmarks and profiling to validate hardware performance against workload requirements.</li>\n</ul>\n<ul>\n<li>Lead early bring-up and evaluation of engineering sample (ES) silicon.</li>\n</ul>\n<ul>\n<li>Partner with performance modeling and system architecture teams to align measured vs. modeled behavior.</li>\n</ul>\n<ul>\n<li>Provide actionable feedback to vendors to influence future silicon design and roadmap decisions.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Have deep expertise in GPU or accelerator architecture, including performance and power tradeoffs.</li>\n</ul>\n<ul>\n<li>Understand AI workload behavior and how it interacts with hardware design choices.</li>\n</ul>\n<ul>\n<li>Are comfortable engaging directly with silicon vendors at a technical architecture level.</li>\n</ul>\n<ul>\n<li>Have hands-on experience with benchmarking, profiling, and performance analysis.</li>\n</ul>\n<ul>\n<li>Can translate low-level hardware details into system-level and workload-level impact.</li>\n</ul>\n<ul>\n<li>Are equally comfortable in theory (architecture) and practice (measurement/validation).</li>\n</ul>\n<ul>\n<li>Thrive in environments where you bridge internal teams and external partners.</li>\n</ul>\n<p><strong>Preferred Skills</strong></p>\n<ul>\n<li>Experience working with or at companies like (e.g NVIDIA &amp; 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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<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 Foundations team focuses on how model behavior changes as we scale models, data, and compute. The team studies the interactions between model architecture, optimization, and training data, and uses those insights to guide how new models are designed and trained.</p>\n<p><strong>About the Role</strong></p>\n<p>In this role, you will build the systems that enable advanced AI models to run efficiently at scale. You will operate at the intersection of model research and systems engineering, translating new architectural ideas into high-performance inference systems that surface real tradeoffs in performance, memory, and scalability.</p>\n<p>Your work will directly influence how models are designed, evaluated, and iterated on across the research organization. By developing and evolving high-performance inference infrastructure, you will enable researchers to explore new ideas with a clear understanding of their computational and systems implications.</p>\n<p>This is not a product-serving role. Instead, it is a research-enabling systems role focused on performance, correctness, and realism - ensuring that AI research is grounded in what can actually scale.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Design and build high-performance inference runtimes for large-scale AI models, with a focus on efficiency, reliability, and scalability.</li>\n</ul>\n<ul>\n<li>Own and optimize core execution paths, including model execution, memory management, batching, and scheduling.</li>\n</ul>\n<ul>\n<li>Develop and improve distributed inference across multiple GPUs, including parallelism strategies, communication patterns, and runtime coordination.</li>\n</ul>\n<ul>\n<li>Implement and optimize inference-critical operators and kernels informed by real-world workloads.</li>\n</ul>\n<ul>\n<li>Partner closely with research teams to ensure new model architectures are supported accurately and efficiently in inference systems.</li>\n</ul>\n<ul>\n<li>Diagnose and resolve performance bottlenecks through profiling, benchmarking, and low-level debugging.</li>\n</ul>\n<ul>\n<li>Contribute to observability, correctness, and reliability of large-scale AI systems.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have experience building production inference systems, not just training or running models.</li>\n</ul>\n<ul>\n<li>Are comfortable with GPU-centric performance engineering, including memory behavior and latency/throughput tradeoffs.</li>\n</ul>\n<ul>\n<li>Have worked on multi-GPU or distributed systems involving batching, scheduling, or runtime coordination.</li>\n</ul>\n<ul>\n<li>Can reason end-to-end about inference pipelines, from request handling through execution and output streaming.</li>\n</ul>\n<ul>\n<li>Are able to understand research ideas and implement them within real system and performance constraints.</li>\n</ul>\n<ul>\n<li>Enjoy solving hard, ambiguous systems problems that only emerge at scale.</li>\n</ul>\n<ul>\n<li>Prefer hands-on technical ownership and execution over abstract design work.</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. 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><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>Required Skills</strong></p>\n<ul>\n<li>Experience building production inference systems, not just training or running models</li>\n</ul>\n<ul>\n<li>Comfortable with GPU-centric performance engineering, including memory behavior and latency/throughput tradeoffs</li>\n</ul>\n<ul>\n<li>Multi-GPU or distributed systems involving batching, scheduling, or runtime coordination</li>\n</ul>\n<ul>\n<li>Reasoning end-to-end about inference pipelines, from request handling through execution and output streaming</li>\n</ul>\n<ul>\n<li>Understanding research ideas and implementing them within real system and performance constraints</li>\n</ul>\n<ul>\n<li>Solving hard, ambiguous systems problems that only emerge at scale</li>\n</ul>\n<ul>\n<li>Hands-on technical ownership and execution over abstract design work</li>\n</ul>\n<p><strong>Preferred Skills</strong></p>\n<ul>\n<li>Experience working with large-scale AI models</li>\n</ul>\n<ul>\n<li>Distributed inference across multiple GPUs</li>\n</ul>\n<ul>\n<li>Parallelism strategies, communication patterns, and runtime coordination</li>\n</ul>\n<ul>\n<li>Implementing and optimizing inference-critical operators and kernels</li>\n</ul>\n<ul>\n<li>Observability, correctness, and reliability of large-scale AI systems</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</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_b5023ab2-eae","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://openai.com/","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/50aab80a-fa60-4fcc-882d-18ea76db5f11","x-work-arrangement":null,"x-experience-level":null,"x-job-type":"Full 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stipends","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":380000,"maxValue":555000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_736969e6-3f9"},"title":"CPU Storage Tech Lead","description":"<p><strong>Compensation</strong></p>\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<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 Stargate team is responsible for building the physical infrastructure that powers large-scale AI systems. We design and deliver next-generation data centers optimized for dense compute clusters, advanced networking, and rapidly evolving hardware platforms.</p>\n<p><strong>About the Role</strong></p>\n<p>We are seeking a CPU &amp; Storage Technical Lead to define and drive the server compute and storage architecture strategy for Stargate infrastructure.</p>\n<p>In this role, you will own technical direction across CPU platforms, memory configurations, local and disaggregated storage systems, and their integration into large-scale AI clusters. You will evaluate vendor roadmaps, lead platform tradeoff decisions, and ensure compute and storage systems are optimized for training, inference, and supporting services.</p>\n<p><strong>Key Responsibilities</strong></p>\n<ul>\n<li>Own CPU and storage technical strategy for Stargate compute infrastructure across current and future generations.</li>\n</ul>\n<ul>\n<li>Evaluate CPU platforms across performance, efficiency, memory bandwidth, PCIe topology, cost, and roadmap alignment.</li>\n</ul>\n<ul>\n<li>Define storage architectures for AI environments, including boot media, local NVMe, shared storage, caching tiers, metadata services, and high-performance data pipelines.</li>\n</ul>\n<ul>\n<li>Drive server platform decisions involving CPU, memory, NIC, GPU, and storage subsystem integration.</li>\n</ul>\n<ul>\n<li>Partner with performance modeling teams to quantify tradeoffs across compute, memory, I/O, and storage bottlenecks.</li>\n</ul>\n<ul>\n<li>Work with silicon and hardware vendors on roadmap influence, feature requests, qualification plans, and technical escalations.</li>\n</ul>\n<ul>\n<li>Lead bring-up and validation efforts for new CPU and storage platforms in lab and production environments.</li>\n</ul>\n<ul>\n<li>Partner with networking and cluster architecture teams to optimize end-to-end node design and data movement.</li>\n</ul>\n<ul>\n<li>Support supply chain and sourcing teams with technical vendor assessments and second-source strategies.</li>\n</ul>\n<ul>\n<li>Drive reliability, serviceability, and fleet lifecycle planning for compute and storage platforms.</li>\n</ul>\n<ul>\n<li>Translate future AI workload requirements into infrastructure platform specifications.</li>\n</ul>\n<ul>\n<li>Provide technical leadership across cross-functional stakeholders and executive reviews.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or related technical field; advanced degree preferred.</li>\n</ul>\n<ul>\n<li>10+ years of experience in server hardware, systems architecture, data center infrastructure, or hyperscale compute platforms.</li>\n</ul>\n<ul>\n<li>Deep expertise in modern CPU architectures (x86, ARM, accelerator host systems) and server platform design.</li>\n</ul>\n<ul>\n<li>Strong understanding of memory systems, PCIe/CXL fabrics, NUMA behavior, and platform-level performance constraints.</li>\n</ul>\n<ul>\n<li>Experience with storage systems including NVMe, SSD qualification, RAID, distributed storage, object/file systems, or high-performance data pipelines.</li>\n</ul>\n<ul>\n<li>Experience evaluating hardware tradeoffs across performance, cost, power, thermals, and supply availability.</li>\n</ul>\n<ul>\n<li>Familiarity with GPU clusters and AI training/inference infrastructure strongly preferred.</li>\n</ul>\n<ul>\n<li>Experience working directly with OEMs, ODMs, silicon vendors, or storage vendors.</li>\n</ul>\n<ul>\n<li>Strong systems thinking with ability to connect component decisions to fleet-level outcomes.</li>\n</ul>\n<ul>\n<li>Excellent communication skills with the ability to influence engineering and executive stakeholders.</li>\n</ul>\n<ul>\n<li>Proven ability to operate in fast-moving, ambiguous environments with high ownership.</li>\n</ul>\n<p><strong>Preferred Skills</strong></p>\n<ul>\n<li>Experience designing infrastructure for large-scale AI or HPC environments.</li>\n</ul>\n<ul>\n<li>Familiarity with CPU vendor roadmaps across AMD, Intel, and ARM ecosystems.</li>\n</ul>\n<ul>\n<li>Experience with distributed storage architectures supporting GPU clusters.</li>\n</ul>\n<ul>\n<li>Knowledge of fleet operations, hardware lifecycle management, and production deployments at scale.</li>\n</ul>\n<ul>\n<li>Prior experience in hyperscale cloud, AI infrastructure, or advanced compute environments.</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. 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>We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.</p>\n<p>For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).</p>\n<p>Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County</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_736969e6-3f9","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://openai.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/18a60850-cf8b-4374-a214-ef78b9712deb","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"$342K – $555K","x-skills-required":["server hardware","systems architecture","data center infrastructure","hyperscale compute platforms","modern CPU architectures","server platform design","memory systems","PCIe/CXL fabrics","NUMA behavior","platform-level performance constraints","storage systems","NVMe","SSD qualification","RAID","distributed storage","object/file systems","high-performance data pipelines","hardware tradeoffs","performance","cost","power","thermals","supply availability","GPU clusters","AI training/inference infrastructure","OEMs","ODMs","silicon vendors","storage vendors","strong systems thinking","component decisions","fleet-level outcomes","excellent communication skills","influence engineering and executive stakeholders","fast-moving","ambiguous environments","high ownership"],"x-skills-preferred":["infrastructure for large-scale AI or HPC environments","CPU vendor roadmaps across AMD, Intel, and ARM ecosystems","distributed storage architectures supporting GPU clusters","fleet operations","hardware lifecycle management","production deployments at scale","hyperscale cloud","AI infrastructure","advanced compute environments"],"datePosted":"2026-04-24T12:21:17.145Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco; Seattle"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"server hardware, systems architecture, data center infrastructure, hyperscale compute platforms, modern CPU architectures, server platform design, memory systems, PCIe/CXL fabrics, NUMA behavior, platform-level performance constraints, storage systems, NVMe, SSD qualification, RAID, distributed storage, object/file systems, high-performance data pipelines, hardware tradeoffs, performance, cost, power, thermals, supply availability, GPU clusters, AI training/inference infrastructure, OEMs, ODMs, silicon vendors, storage vendors, strong systems thinking, component decisions, fleet-level outcomes, excellent communication skills, influence engineering and executive stakeholders, fast-moving, ambiguous environments, high ownership, infrastructure for large-scale AI or HPC environments, CPU vendor roadmaps across AMD, Intel, and ARM ecosystems, distributed storage architectures supporting GPU clusters, fleet operations, hardware lifecycle management, production deployments at scale, hyperscale cloud, AI infrastructure, advanced compute environments","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":342000,"maxValue":555000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_24d97e05-f68"},"title":"Workload Porting & Performance Engineer","description":"<p><strong>Compensation</strong></p>\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<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>OpenAI&#39;s Infrastructure organization builds and evaluates the systems that power advanced AI workloads. We work closely with hardware, modeling, and architecture teams to ensure that new platforms deliver real-world performance aligned with workload needs.</p>\n<p><strong>About the Role</strong></p>\n<p>We are seeking a Workload Porting &amp; Performance Engineer to evaluate new hardware platforms by porting benchmarks and real-world workloads, analyzing performance, and identifying system bottlenecks.</p>\n<p>In this role, you will bring up workloads on new systems, characterize performance behavior, and adapt workloads to better utilize hardware capabilities. You will play a critical role in validating new platforms and ensuring that performance aligns with expectations across compute, memory, and networking subsystems.</p>\n<p>This role requires strong hands-on experience with performance analysis, workload optimization, and system-level debugging across hardware and software boundaries.</p>\n<p><strong>Key Responsibilities</strong></p>\n<ul>\n<li>Port and enable benchmarks and real-world workloads on new hardware platforms.</li>\n</ul>\n<ul>\n<li>Evaluate system performance across compute, memory, storage, and networking subsystems.</li>\n</ul>\n<ul>\n<li>Identify and analyze performance bottlenecks and inefficiencies.</li>\n</ul>\n<ul>\n<li>Adapt and optimize workloads to better utilize hardware capabilities.</li>\n</ul>\n<ul>\n<li>Develop and run performance experiments and profiling workflows.</li>\n</ul>\n<ul>\n<li>Compare expected vs. observed performance and provide feedback to:</li>\n</ul>\n<ul>\n<li>hardware architecture teams</li>\n</ul>\n<ul>\n<li>performance modeling teams</li>\n</ul>\n<ul>\n<li>system and software engineers.</li>\n</ul>\n<ul>\n<li>Debug issues across the stack, including software, runtime, and hardware interactions.</li>\n</ul>\n<ul>\n<li>Provide actionable insights to guide platform readiness and deployment decisions.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Experience with performance analysis, benchmarking, or workload optimization.</li>\n</ul>\n<ul>\n<li>Strong understanding of system architecture, including CPU/GPU, memory, and I/O subsystems.</li>\n</ul>\n<ul>\n<li>Experience porting or adapting workloads across different hardware platforms.</li>\n</ul>\n<ul>\n<li>Familiarity with profiling tools and performance debugging techniques.</li>\n</ul>\n<ul>\n<li>Ability to identify root causes of performance issues across hardware/software boundaries.</li>\n</ul>\n<ul>\n<li>Experience working in large-scale or distributed system environments.</li>\n</ul>\n<p><strong>Preferred Skills</strong></p>\n<ul>\n<li>Experience with AI/ML workloads, including training or inference systems.</li>\n</ul>\n<ul>\n<li>Familiarity with GPU or accelerator-based systems.</li>\n</ul>\n<ul>\n<li>Experience working with low-level performance tools (profilers, tracing, microbenchmarks).</li>\n</ul>\n<ul>\n<li>Background in systems software, compilers, or runtime optimization.</li>\n</ul>\n<ul>\n<li>Experience collaborating with hardware and architecture teams on performance validation.</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. 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>We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.</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_24d97e05-f68","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://openai.com/","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/ec0a4e03-bbcc-4c64-813f-b53dabb8f53a","x-work-arrangement":"hybrid","x-experience-level":null,"x-job-type":"Full time","x-salary-range":"$342K – $555K","x-skills-required":["performance analysis","benchmarking","workload optimization","system architecture","CPU/GPU","memory","I/O subsystems","profiling tools","performance debugging techniques","large-scale or distributed system environments"],"x-skills-preferred":["AI/ML workloads","GPU or accelerator-based systems","low-level performance tools","systems software","compilers","runtime optimization","hardware and architecture teams"],"datePosted":"2026-04-24T12:21:17.098Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco; Seattle"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"performance analysis, benchmarking, workload optimization, system architecture, CPU/GPU, memory, I/O subsystems, profiling tools, performance debugging techniques, large-scale or distributed system environments, AI/ML workloads, GPU or accelerator-based systems, low-level performance tools, systems software, compilers, runtime optimization, hardware and architecture teams","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":342000,"maxValue":555000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_74367c0d-65f"},"title":"Silicon Implementation Engineer, Front End","description":"<p>We are seeking a highly capable Implementation Engineer &amp; Technologist to drive silicon construction and optimization for next-generation AI chips. This is a senior hands-on individual-contributor role for an engineer who combines strong technical breadth with the ability to go deep quickly, solve hard problems, and land results in collaboration with cross-functional teams.</p>\n<p>You will operate across architecture, circuits, memory, RTL, physical implementation, and integration technologies to turn ambitious product goals into manufacturable silicon. This role is not limited to analysis or pathfinding,you will be expected to develop solutions, prototype ideas, drive execution, and close critical gaps.</p>\n<p>The ideal candidate is a hands-on generalist with strong engineering judgment, deep circuit intuition, broad semiconductor knowledge, and a habit of using AI tools to move faster and make better decisions.</p>\n<p>Key responsibilities include: Partner with architecture and system teams to translate product goals into executable silicon construction strategies. Drive hands-on optimization of power, performance, area, cost, and reliability across the silicon stack. Develop and implement solutions spanning circuits, memory, RTL, physical design, and integration. Use and build AI-driven tools, flows, and methodologies to accelerate silicon implementation. Evaluate new technologies and convert them into reliable product constructions optimized for performance, performance/TCO, and performance/W.</p>\n<p>Requirements include: BS with 12+ years, MS with 10+ years, or PhD with 6+ years of relevant industry experience in chip design or implementation. Strong hands-on expertise in circuits and implementation-driven PPA optimization. Deep knowledge of semiconductor technologies including memory, advanced nodes, packaging, and 3D integration. Hands-on experience with RTL design and physical implementation through tapeout. Proven ability to work across disciplines and solve complex technical problems end-to-end. Strong use of AI tools for engineering productivity, analysis, coding, or design optimization. Excellent technical communication and collaboration skills.</p>\n<p>Preferred qualifications include: Strong first-principles understanding of AI chip architectures and training/inference workloads. Experience improving silicon products through innovations in performance, power, cost, yield, or reliability. Experience with HBM, SRAM, memory hierarchy design, or memory-centric optimization. Experience building internal tools, models, or automation used by engineering teams. Research lab experience and/or PhD in Electrical Engineering, Computer Engineering, Computer Science, or related field.</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_74367c0d-65f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://openai.com/","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/497daf98-1fa6-45aa-ba67-bc79207cd75f","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"$266K – $445K","x-skills-required":["semiconductor technologies","memory","advanced nodes","packaging","3D integration","RTL design","physical implementation","AI tools","engineering productivity","analysis","coding","design optimization"],"x-skills-preferred":["AI chip architectures","training/inference workloads","HBM","SRAM","memory hierarchy design","memory-centric optimization","internal tools","models","automation","research lab experience","PhD in Electrical Engineering","Computer Engineering","Computer Science"],"datePosted":"2026-04-24T12:20:39.109Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"semiconductor technologies, memory, advanced nodes, packaging, 3D integration, RTL design, physical implementation, AI tools, engineering productivity, analysis, coding, design optimization, AI chip architectures, training/inference workloads, HBM, SRAM, memory hierarchy design, memory-centric optimization, internal tools, models, automation, research lab experience, PhD in Electrical Engineering, Computer Engineering, Computer Science","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":266000,"maxValue":445000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_96d93009-885"},"title":"ChatGPT Performance Engineer","description":"<p>OpenAI is looking for an experienced Performance Engineer to help us scale the performance, reliability, and efficiency of our systems. In this role, you&#39;ll apply deep technical expertise to optimize infrastructure and application-level performance across mission-critical products like ChatGPT and our developer API.</p>\n<p>We are looking for engineers who thrive in ambiguous environments, value deep systems understanding, and are motivated by delivering measurable impact. This is a highly technical, individual contributor role focused on root-cause analysis, profiling, instrumentation, and architecture-level performance improvements across our stack.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Analyzing and optimizing performance across application, middleware, runtime, and infrastructure layers,networking, storage, Python runtime, GPU utilization, and beyond.</li>\n<li>Developing tooling and metrics that provide deep observability into system performance.</li>\n<li>Collaborating closely with infra, platform, training, and product teams to identify key performance goals and drive systemic improvements.</li>\n<li>Influencing architecture and design decisions to prioritize latency, throughput, and efficiency at scale.</li>\n<li>Leading investigations into high-impact performance regressions or scalability issues in production.</li>\n<li>Driving performance testing strategies and helping define SLAs/SLOs around latency and throughput for critical systems.</li>\n</ul>\n<p>If you have 7+ years of experience in software engineering with a strong track record in performance or reliability of high-scale distributed systems, you might thrive in this role. You should be deeply comfortable with performance profiling tools and tracing systems, have experience optimizing performance across one or more layers of the stack, and have a strong understanding of OS internals, scheduling, memory management, and IO patterns.</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_96d93009-885","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://openai.com/","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/38ddaa2c-a490-427a-8457-0e92bf00138c","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"$325K – $405K","x-skills-required":["performance engineering","distributed systems","python","gpu utilization","os internals","scheduling","memory management","io patterns"],"x-skills-preferred":[],"datePosted":"2026-04-24T12:20:25.697Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco; New York City; Remote - US; Seattle"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"performance engineering, distributed systems, python, gpu utilization, os internals, scheduling, memory management, io patterns","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":325000,"maxValue":405000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0f00522c-1ea"},"title":"Inference Technical Lead, On-Device Transformers","description":"<p>Job Title: Inference Technical Lead, On-Device Transformers</p>\n<p>Location: San Francisco</p>\n<p>Department: Consumer Products</p>\n<p>Job Type: Full time</p>\n<p>Workplace Type: Hybrid</p>\n<p><strong>Compensation</strong></p>\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<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 Future of Computing Research team is an applied research team in the Consumer Devices group focused on developing new methods and models to support our vision as we advance forward in our mission of building AGI that benefits all of humanity.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Technical Lead on the Future of Computing Research team, you will work together with both the best ML researchers in the world and the greatest design talent of our generation to push the frontier of model capabilities.</p>\n<p><strong>This role is based in San Francisco, CA. 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>Evaluate and select silicon platforms (GPUs, NPUs, and specialized accelerators) for on-device and edge deployment of OpenAI models.</li>\n</ul>\n<ul>\n<li>Work closely with research teams to co-design model architectures that meet real-world deployment constraints such as latency, memory, power, and bandwidth.</li>\n</ul>\n<ul>\n<li>Analyze and model system performance, identifying tradeoffs between model design, memory hierarchy, compute throughput, and hardware capabilities.</li>\n</ul>\n<ul>\n<li>Partner with hardware vendors and internal infrastructure teams to bring up new accelerators and ensure efficient execution of transformer workloads.</li>\n</ul>\n<ul>\n<li>Build and lead a team of engineers responsible for implementing the low-level inference stack, including kernel development and runtime systems.</li>\n</ul>\n<ul>\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 experience evaluating or deploying workloads on GPUs, NPUs, or other specialized accelerators.</li>\n</ul>\n<ul>\n<li>Understand the performance characteristics of transformer models, including attention, KV-cache behavior, and memory bandwidth requirements.</li>\n</ul>\n<ul>\n<li>Have designed or optimized high-performance compute systems, such as inference engines, distributed runtimes, or hardware-aware ML pipelines.</li>\n</ul>\n<ul>\n<li>Have experience building or leading teams working on low-level performance-critical software such as CUDA kernels, compilers, or ML runtimes.</li>\n</ul>\n<ul>\n<li>Have already spent time in the weeds teaching models to speak and perceive.</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. 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><strong>Salary</strong></p>\n<p>Compensation Range: $445K</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_0f00522c-1ea","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://openai.com/","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/a653b035-a866-4a5c-9c2a-fda3c2950eee","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"$445K","x-skills-required":["Experience evaluating or deploying workloads on GPUs, NPUs, or other specialized accelerators","Understanding the performance characteristics of transformer models, including attention, KV-cache behavior, and memory bandwidth requirements","Designing or optimizing high-performance compute systems, such as inference engines, distributed runtimes, or hardware-aware ML pipelines","Building or leading teams working on low-level performance-critical software such as CUDA kernels, compilers, or ML runtimes","Teaching models to speak and perceive"],"x-skills-preferred":[],"datePosted":"2026-04-24T12:20:13.092Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Experience evaluating or deploying workloads on GPUs, NPUs, or other specialized accelerators, Understanding the performance characteristics of transformer models, including attention, KV-cache behavior, and memory bandwidth requirements, Designing or optimizing high-performance compute systems, such as inference engines, distributed runtimes, or hardware-aware ML pipelines, Building or leading teams working on low-level performance-critical software such as CUDA kernels, compilers, or ML runtimes, Teaching models to speak and perceive","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":445000,"maxValue":445000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_03e0c0d0-89a"},"title":"Firmware Engineer","description":"<p>We are looking for an experienced firmware system engineer to test, debug and address solutions to release software to Production line and Customers. 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understanding</li>\n<li>Previous roles in technical lead or system validation positions</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_03e0c0d0-89a","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/Israel-Yokneam/Firmware-Engineer_JR2016359","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["firmware","software","hardware","testing","debugging","system-level debugging","PCIe","security","network interoperability","communication","SW-HW interfaces","memory subsystems","storage components","network applications","device drivers","real-time 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that powers advertising across Bing Search, MSN, Microsoft Start, and shopping experiences in the Edge browser.</p>\n<p>Our serving stack operates at massive global scale, delivering millions of ad requests per second through a geo-distributed, low-latency system that combines large-scale GPU/CPU inference, real-time bidding, and intelligent ranking pipelines.</p>\n<p>This role focuses on advancing the performance, efficiency, and scalability of the next generation of model serving and inference platforms for Ads.</p>\n<p>As a senior technical leader, you’ll design and optimize high-performance serving systems and GPU inference frameworks that drive measurable latency improvements and cost efficiency across Microsoft’s ad ecosystem.</p>\n<p>You’ll work across the stack,from CUDA kernel tuning and NUMA-aware threading to large-scale distributed orchestration and model deployment for deep learning and LLM workloads.</p>\n<p>This is a rare opportunity to shape the architecture of one of 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online serving systems,including GPU-accelerated and CPU-based ranking/inference pipelines,to process millions of ad requests per second with ultra-low latency, high throughput, and solid reliability.</p>\n<p>Architect and optimize end-to-end inference infrastructure, including model serving, batching/streaming, caching, scheduling, and resource orchestration across heterogeneous hardware (GPU, CPU, and memory tiers).</p>\n<p>Profile and optimize performance across the full stack,from CUDA kernels and GPU pipelines to CPU threads and OS-level scheduling,identifying bottlenecks, tuning latency tails, and improving cost efficiency through advanced profiling and instrumentation.</p>\n<p>Own live-site reliability as a DRI: design telemetry, alerting, and fault-tolerance mechanisms; drive rapid diagnosis and mitigation of performance regressions or outages in globally distributed systems.</p>\n<p>Collaborate and mentor across teams,driving architecture reviews, enforcing engineering 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such as large-scale ad ranking, real-time bidding (RTB), or relevance-serving infrastructure.</p>\n<p>Hands-on experience with real-time data streaming systems (Kafka, Flink, Spark Streaming), feature-store integration, and multi-region deployment for low-latency, globally distributed services.</p>\n<p>Familiarity with LLM inference optimization,model sharding, tensor/kv-cache parallelism, paged attention, continuous batching, quantization (AWQ/FP8), and hybrid CPU–GPU orchestration.</p>\n<p>Demonstrated success operating large-scale systems with SLA-based capacity forecasting, autoscaling, and performance telemetry; proven leadership in cross-functional architecture initiatives and technical mentorship.</p>\n<p>Passion for performance engineering, observability, and deep systems debugging, with a solid drive to push the limits of serving infrastructure for the next generation of ads and AI models.</p>\n<p>Deep expertise in GPU inference frameworks such as NVIDIA Triton Inference 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There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.</p>\n<p>Certain roles may be eligible for benefits and other compensation.</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_2c095439-13b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/principal-software-engineer-41/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$139,900 - $274,800 per year","x-skills-required":["C","C++","C#","Java","JavaScript","Python","NVIDIA Triton Inference Server","CUDA","TensorRT","Kafka","Flink","Spark Streaming","GPU inference frameworks","LLM inference optimization","model sharding","tensor/kv-cache parallelism","paged attention","continuous batching","quantization","AWQ/FP8","hybrid CPU–GPU orchestration","SLA-based capacity forecasting","autoscaling","performance telemetry","cross-functional architecture initiatives","technical mentorship","performance engineering","observability","deep systems debugging","low-level system and OS internals","multi-threading","process scheduling","NUMA-aware memory allocation","lock-free data structures","context switching","I/O stack tuning","kernel bypass","CPU/GPU affinity optimization"],"x-skills-preferred":[],"datePosted":"2026-04-24T12:12:57.301Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C, C++, C#, Java, JavaScript, Python, NVIDIA Triton Inference Server, CUDA, TensorRT, Kafka, Flink, Spark Streaming, GPU inference frameworks, LLM inference optimization, model sharding, tensor/kv-cache parallelism, paged attention, continuous batching, quantization, AWQ/FP8, hybrid CPU–GPU orchestration, SLA-based capacity forecasting, autoscaling, performance telemetry, cross-functional architecture initiatives, technical mentorship, performance engineering, observability, deep systems debugging, low-level system and OS internals, multi-threading, process scheduling, NUMA-aware memory allocation, lock-free data structures, context switching, I/O stack tuning, kernel bypass, CPU/GPU affinity optimization","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":139900,"maxValue":274800,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5e4f576f-47c"},"title":"Software Engineer II","description":"<p>We are looking for a Software Engineer II to build and evolve a high-quality consumer-facing Windows application used by millions of users. You will work across the full product lifecycle (design, development, experimentation, and production) partnering closely with Product Managers, Designers, and Data Science teams to deliver intuitive, performant, and reliable Windows experiences.</p>\n<p>This role emphasizes strong engineering fundamentals, customer empathy, and ownership of end-to-end feature delivery in a fast-moving consumer environment. Microsoft&#39;s mission is to empower every person and every organization on the planet to achieve more.</p>\n<p>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>Design, build, and ship features for a consumer Windows application with a strong focus on usability, performance, reliability, and accessibility.</li>\n<li>Develop high-quality, maintainable, and well-tested code using modern Windows frameworks and tooling.</li>\n<li>Collaborate with Product, Design, and Data partners to translate customer needs into technical solutions.</li>\n<li>Participate in architecture and design reviews, contributing to decisions around scalability, responsiveness, and long-term maintainability.</li>\n<li>Instrument features with telemetry, analyze usage and reliability signals, and iterate based on data and customer feedback.</li>\n<li>Debug and resolve issues across the stack, including live-site and customer-reported problems.</li>\n<li>Contribute to engineering excellence through code reviews, test coverage, CI/CD practices, and operational readiness.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Bachelor&#39;s Degree in Computer Science or related technical field AND 4+ 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>Experience building and shipping production-quality applications or services.</li>\n<li>Solid understanding of data structures, algorithms, and object-oriented design.</li>\n<li>Experience working collaboratively in a team environment with clear communication and ownership.</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Experience building Windows applications using WinUI, WPF, UWP, or Windows SDKs.</li>\n<li>Familiarity with performance optimization, memory management, and responsiveness in desktop applications.</li>\n<li>Experience with telemetry, experimentation, and feature flighting in consumer products.</li>\n<li>Exposure to accessibility (a11y) standards and inclusive design principles.</li>\n<li>Experience with CI/CD pipelines, automated testing, and live-site monitoring.</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_5e4f576f-47c","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-37/","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["C","C++","C#","Java","JavaScript","Python","Windows frameworks","WinUI","WPF","UWP","Windows SDKs","data structures","algorithms","object-oriented design"],"x-skills-preferred":["performance optimization","memory management","responsiveness in desktop 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solutions.</li>\n</ul>\n<ul>\n<li>Write clean, production-quality code with appropriate tests and documentation.</li>\n</ul>\n<ul>\n<li>Participate in code reviews, design discussions, and continuous improvement of engineering practices.</li>\n</ul>\n<p>Required Qualifications:</p>\n<ul>\n<li>Strong proficiency in modern C++ (C++17/20 or later).</li>\n</ul>\n<ul>\n<li>5+ years of experience.</li>\n</ul>\n<ul>\n<li>Analytics Focus: KDB / Q Experience for large market data, modern data analysis with pytorch, pandas and modern tooling including Apache arrow.</li>\n</ul>\n<ul>\n<li>Familiar with basics statistics as applied to financial research.</li>\n</ul>\n<ul>\n<li>Proven experience building performance-critical, real-time, or low-latency systems.</li>\n</ul>\n<ul>\n<li>Strong knowledge of computer science fundamentals: data structures, algorithms, memory management, and optimisation.</li>\n</ul>\n<ul>\n<li>Experience using profiling, benchmarking, and performance analysis tools.</li>\n</ul>\n<ul>\n<li>Proficiency with version control (Git) and standard build systems.</li>\n</ul>\n<ul>\n<li>Excellent problem-solving skills and attention to detail.</li>\n</ul>\n<ul>\n<li>Strong interpersonal skills with a proven ability to navigate large organisations.</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Experience with kernel bypass or user-space networking technologies.</li>\n</ul>\n<ul>\n<li>Familiarity with AI productivity enhancing coding tools.</li>\n</ul>\n<ul>\n<li>Experience in financial markets, market data distribution, order routing, or exchange connectivity.</li>\n</ul>\n<ul>\n<li>Experience with monitoring/telemetry for high-performance systems.</li>\n</ul>\n<ul>\n<li>Familiarity with scripting languages for tooling and automation.</li>\n</ul>\n<ul>\n<li>AI: Familiarity with AI productivity enhancing coding tools.</li>\n</ul>\n<p>Personal Attributes:</p>\n<ul>\n<li>Obsessed with performance, measurement, and data-driven optimisation.</li>\n</ul>\n<ul>\n<li>Comfortable owning features end-to-end and operating in a production environment.</li>\n</ul>\n<ul>\n<li>Clear communicator who can work closely with both technical and non-technical stakeholders.</li>\n</ul>\n<ul>\n<li>Proactive, self-directed, and able to thrive in a highly iterative environment.</li>\n</ul>\n<p>The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future.</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_0987988a-011","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Unknown","sameAs":"https://mlp.eightfold.ai","logo":"https://logos.yubhub.co/mlp.eightfold.ai.png"},"x-apply-url":"https://mlp.eightfold.ai/careers/job/755955682418","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$175,000 to $250,000","x-skills-required":["modern C++","KDB / Q","pytorch","pandas","Apache arrow","data structures","algorithms","memory management","optimisation","profiling","benchmarking","performance analysis tools","version control","standard build systems"],"x-skills-preferred":["kernel bypass","user-space networking technologies","AI productivity enhancing coding tools","financial markets","market data distribution","order routing","exchange connectivity","monitoring/telemetry","scripting 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As a member of our team, you will contribute to the growth of CockroachDB by bringing your expertise and commitment to excellence to help build a database that makes data easy for everyone.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Develop in Go, but if you don&#39;t know it, you&#39;ll learn while you&#39;re here.</li>\n<li>Improve the performance of CockroachDB.</li>\n<li>Work closely with other engineers and product managers across both the cloud and database teams.</li>\n<li>Work in an environment in which access to state-of-the-art AI-assisted planning and development is provided.</li>\n<li>Take part in a collaborative culture and exchange knowledge with a highly experienced technical organization.</li>\n<li>Ensure that CockroachDB remains scalable, survivable, and consistent as we continue to grow as a company.</li>\n</ul>\n<p><strong>Expectations</strong></p>\n<p>In your first 30 days, you will become an integrated member of our engineering team. You’ll spend time learning about the Storage team’s domain, processes and people, as well as learning about CockroachDB and CockroachDB Cloud. After 3 months, you will be fully integrated into the team and comfortable contributing to the Storage team’s execution in partnership with Product and Design. After 6 months, you’ll be fully integrated into the Storage team and have a deep understanding of the tech stack and other areas of the Engineering organization.</p>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Experience working on complex technical products and have exposure to distributed systems, concurrency control, file systems, data replication, or memory management.</li>\n<li>Comfort using programming languages like Go, C/C++, Java, and Python. 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Based in Seattle with his family, Andy enjoys hiking, playing badminton, and spending quality time with his children outside of work.</p>\n<p>Jordan Lewis - VP of Engineering</p>\n<p>Jordan is the Head of Engineering for Cockroach Labs. He’s responsible for the teams that build, maintain and keep CockroachDB reliably serving the needs of Cockroach Labs’ most demanding customer base. He joined Cockroach Labs as a Database Engineer in 2016 when it was just 25 people before moving into engineering leadership leading the Global Engineering organization. Jordan lives in his hometown of Brooklyn NY with his wife. 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You will contribute to the design and implementation of the inference engine, and collaborate on model-serving stack optimized for large-scale LLMs inference.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Collaborating with researchers to bring new model architectures or features (sparsity, activation compression, mixture-of-experts) into the engine</li>\n<li>Optimizing for latency, throughput, memory efficiency, and hardware utilization across GPUs, and accelerators</li>\n<li>Building and maintaining instrumentation, profiling, and tracing tooling to uncover bottlenecks and guide optimizations</li>\n<li>Developing and enhancing scalable routing, batching, scheduling, memory management, and dynamic loading mechanisms for inference workloads</li>\n<li>Supporting reliability, reproducibility, and fault tolerance in the inference pipelines, including A/B launches, rollback, and model versioning</li>\n<li>Integrating with federated, distributed inference infrastructure – orchestrate across nodes, balance load, handle communication overhead</li>\n<li>Collaborating cross-functionally: with platform engineers, cloud infrastructure, and security/compliance teams</li>\n<li>Documenting and sharing learnings, contributing to internal best practices and open-source efforts when possible</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>BS/MS/PhD in Computer Science, or a related field</li>\n<li>Strong software engineering background (3+ years or equivalent) in performance-critical systems</li>\n<li>Solid understanding of ML inference internals: attention, MLPs, recurrent modules, quantization, sparse operations, etc.</li>\n<li>Hands-on experience with CUDA, GPU programming, and key libraries (cuBLAS, cuDNN, NCCL, etc.)</li>\n<li>Comfortable designing and operating distributed systems, including RPC frameworks, queuing, RPC batching, sharding, memory partitioning</li>\n<li>Demonstrated ability to uncover and solve performance bottlenecks across layers (kernel, memory, networking, scheduler)</li>\n<li>Experience building instrumentation, tracing, and profiling tools for ML models</li>\n<li>Ability to work closely with ML researchers, translate novel model ideas into production systems</li>\n<li>Ownership mindset and eagerness to dive deep into complex system challenges</li>\n<li>Bonus: published research or open-source contributions in ML systems, inference optimization, or model serving</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_f2196e99-854","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/8202670002","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$142,200-$204,600 USD","x-skills-required":["software engineering","performance-critical systems","ML inference internals","CUDA","GPU programming","distributed systems","RPC frameworks","queuing","RPC batching","sharding","memory partitioning","instrumentation","tracing","profiling tools","ML researchers","complex system challenges"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:54:17.777Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"software engineering, performance-critical systems, ML inference internals, CUDA, GPU programming, distributed systems, RPC frameworks, queuing, RPC batching, sharding, memory partitioning, instrumentation, tracing, profiling tools, ML researchers, complex system challenges","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":142200,"maxValue":204600,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_dc17980d-461"},"title":"Research Engineer, Interpretability","description":"<p>JOB TITLE: Research Engineer, Interpretability \\n LOCATION: San Francisco, CA \\n DEPARTMENT: AI Research &amp; Engineering \\n \\n JOB DESCRIPTION: \\n \\n When you see what modern language models are capable of, do you wonder, &quot;How do these things work? How can we trust them?&quot; \\n \\n The Interpretability team at Anthropic is working to reverse-engineer how trained models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe. \\n \\n Think of us as doing &quot;neuroscience&quot; of neural networks using &quot;microscopes&quot; we build - or reverse-engineering neural networks like binary programs. \\n \\n More resources to learn about our work: \\n - Our research blog - covering advances including Monosemantic Features and Circuits \\n - An Introduction to Interpretability from our research lead, Chris Olah \\n - The Urgency of Interpretability from CEO Dario Amodei \\n - Engineering Challenges Scaling Interpretability - directly relevant to this role \\n - 60 Minutes segment - Around 8:07, see a demo of tooling our team built \\n - New Yorker article - what it&#39;s like to work on one of AI&#39;s hardest open problems \\n \\n Even if you haven&#39;t worked on interpretability before, the infrastructure expertise is similar to what&#39;s needed across the lifecycle of a production language model: \\n - Pretraining: Training dictionary learning models looks a lot like model pretraining - creating stable, performant training jobs for massively parameterized models across thousands of chips \\n - Inference: Interp runs a customized inference stack. Day-to-day analysis requires services that allow editing a model&#39;s internal activations mid-forward-pass - for example, adding a &quot;steering vector&quot; \\n - Performance: Like all LLM work, we push up against the limits of hardware and software. Rather than squeezing the last 0.1%, we are focused on finding bottlenecks, fixing them and moving ahead given rapidly evolving research and safety mission \\n \\n The science keeps scaling - and it&#39;s now applied directly in safety audits on frontier models, with real deadlines. As our research has matured, engineering and infrastructure have become a bottleneck. Your work will have a direct impact on one of the most important open problems in AI. \\n \\n RESPONSIBILITIES: \\n - Build and maintain the specialized inference and training infrastructure that powers interpretability research - including instrumented forward/backward passes, activation extraction, and steering vector application \\n - Resolve scaling and efficiency bottlenecks through profiling, optimization, and close collaboration with peer infrastructure teams \\n - Design tools, abstractions, and platforms that enable researchers to rapidly experiment without hitting engineering barriers \\n - Help bring interpretability research into production safety audits - with real deadlines and high reliability expectations \\n - Work across the stack - from model internals and accelerator-level optimization to user-facing research tooling \\n \\n YOU MAY BE A GOOD FIT IF YOU: \\n - Have 5-10+ years of experience building software \\n - Are highly proficient in at least one programming language (e.g., Python, Rust, Go, Java) and productive with Python \\n - Are extremely curious about unfamiliar domains; can quickly learn and put that knowledge to work, e.g. diving into new layers of the stack to find bottlenecks \\n - Have a strong ability to prioritize the most impactful work and are comfortable operating with ambiguity and questioning assumptions \\n - Prefer fast-moving collaborative projects to extensive solo efforts \\n - Are curious about interpretability research and its role in AI safety (though no research experience is required!) \\n - Care about the societal impacts and ethics of your work \\n - Are comfortable working closely with researchers, translating research needs into engineering solutions. \\n \\n STRONG CANDIDATES MAY ALSO HAVE EXPERIENCE WITH: \\n - Optimizing the performance of large-scale distributed systems \\n - Language modeling fundamentals with transformers \\n - High Performance LLM optimization: memory management, compute efficiency, parallelism strategies, inference throughput optimization \\n - Working hands-on in a mainstream ML stack - PyTorch/CUDA on GPUs or JAX/XLA on TPUs \\n - Collaborating closely with researchers and building tooling to support research teams; or directly performed research with complex engineering challenges \\n \\n REPRESENTATIVE PROJECTS: \\n - Building Garcon, a tool that allows researchers to easily instrument LLMs to extract internal activations \\n - Designing and optimizing a pipeline to efficiently collect petabytes of transformer activations and shuffle them \\n - Profiling and optimizing ML training jobs, including multi-GPU parallelism and memory optimization \\n - Building a steered inference system that applies targeted interventions to model internals at scale (conceptually similar to Golden Gate Claude but for safety research) \\n \\n ROLE SPECIFIC LOCATION POLICY: \\n - This role is based in the San Francisco office; however, we are open to considering exceptional candidates for remote work on a case-by-case basis. \\n \\n The annual compensation range for this role is listed below. \\n For sales roles, the range provided is the role&#39;s On Target Earnings (\\&quot;OTE\\&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. \\n Annual Salary:\\\\$315,000-\\\\$560,000 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_dc17980d-461","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/4980430008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$315,000-$560,000 USD","x-skills-required":["Python","Rust","Go","Java","PyTorch","CUDA","JAX","XLA","High Performance LLM optimization","memory management","compute efficiency","parallelism strategies","inference throughput optimization"],"x-skills-preferred":["large-scale distributed systems","language modeling fundamentals","transformers","collaborating closely with researchers","building tooling to support research teams"],"datePosted":"2026-04-18T15:53:01.682Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Rust, Go, Java, PyTorch, CUDA, JAX, XLA, High Performance LLM optimization, memory management, compute efficiency, parallelism strategies, inference throughput optimization, large-scale distributed systems, language modeling fundamentals, transformers, collaborating closely with researchers, building tooling to support research teams","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":315000,"maxValue":560000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_28a0fa12-3a4"},"title":"Senior Circuit Designer","description":"<p>We are seeking a Senior Circuit Designer to join our team.</p>\n<p>As a Senior Circuit Designer, you will be responsible for designing embedded electronics from concept to functional prototype, including hardware selection, schematic &amp; PCB design, board bring-up, and system level integration.</p>\n<p>You will work closely with firmware/software engineers for processor/peripheral selection, board bring up, and troubleshooting.</p>\n<p>You will also work in a fast-paced environment supporting new developments, active deployments, and customer operated hardware.</p>\n<p>Concurrently, you will manage involvement in multiple projects at various stages.</p>\n<p>Required qualifications include a Bachelor’s Degree in Electrical Engineering and 10+ years of experience designing, testing, and troubleshooting complex hardware, embedded systems, and products.</p>\n<p>Experience with multi-gigabit SERDES, DDR memory busses, Ethernet MAC and PHY interfaces, FPGAs, and common communication busses like SPI and I2C is also required.</p>\n<p>Additionally, you should have experience with microprocessor and microcontroller selection, configuration, and interfacing, as well as competence with test equipment such as oscilloscopes, logic analyzers, debuggers, current-probes, and automation of tests.</p>\n<p>Exceptional organization and communication skills are also necessary.</p>\n<p>Salary range: $146,000-$194,000 USD.</p>\n<p>Benefits include comprehensive medical, dental, and vision plans, income protection, generous time off, family planning &amp; parenting support, mental health resources, professional development, commuter benefits, relocation assistance, and a retirement savings plan.</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_28a0fa12-3a4","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/5054733007","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$146,000-$194,000 USD","x-skills-required":["multi-gigabit SERDES","DDR memory busses","Ethernet MAC and PHY interfaces","FPGAs","SPI and I2C","microprocessor and microcontroller selection","configuration and interfacing","test equipment such as oscilloscopes, logic analyzers, debuggers, current-probes, and automation of tests"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:52:07.698Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Costa Mesa, California, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"multi-gigabit SERDES, DDR memory busses, Ethernet MAC and PHY interfaces, FPGAs, SPI and I2C, microprocessor and microcontroller selection, configuration and interfacing, test equipment such as oscilloscopes, logic analyzers, debuggers, current-probes, and automation of tests","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":146000,"maxValue":194000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ae157386-600"},"title":"Manager, Software Engineering","description":"<p>Job Title: Manager, Software Engineering</p>\n<p>Location: Seattle, Washington, United States</p>\n<p>Department: Connected Warfare : Edge Compute &amp; Communications Engineering : ECC</p>\n<p>As an Engineering Manager for the Edge Compute and Communication group, you will lead a high-performing team that leverages cutting-edge technologies like Rust and C++ to deliver complex, high-impact software systems that operate with extreme efficiency and reliability at the tactical edge.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Lead &amp; Mentor: Manage and grow a team of 10–15 engineers, fostering a high-performance, high-integrity culture focused on mission-critical delivery and rapid iteration.</li>\n</ul>\n<ul>\n<li>Strategic Partnership: Collaborate closely with product, mission systems, and technical leadership to define team objectives, prioritize work streams, and align with broader Connected Warfare initiatives.</li>\n</ul>\n<ul>\n<li>Drive Execution: Ensure the timely and reliable delivery of complex software projects by removing impediments, providing the necessary resources, and promoting agile methodologies.</li>\n</ul>\n<ul>\n<li>Stakeholder Liaison: Serve as the primary conduit between your team and senior leadership, communicating status updates, managing expectations, and advocating for your team’s needs.</li>\n</ul>\n<ul>\n<li>Technical Ownership: Supervise and monitor architecture, design, and implementation of features for high-performance, low-latency edge applications, ensuring they meet stringent quality standards and customer requirements.</li>\n</ul>\n<ul>\n<li>Drive technical excellence in areas like memory safety (Rust), concurrency, inter-process communication, and hardware-software interface design.</li>\n</ul>\n<ul>\n<li>Quality &amp; 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Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril&#39;s total compensation package.</p>\n<p>Additionally, Anduril offers top-tier benefits for full-time employees, including:</p>\n<ul>\n<li>Healthcare Benefits - US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you.</li>\n</ul>\n<ul>\n<li>UK &amp; AUS Roles: We cover full cost of medical insurance premiums for you and your dependents.</li>\n</ul>\n<ul>\n<li>IE Roles: We offer an annual contribution toward your private health insurance for you and your dependent</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_ae157386-600","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anduril 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The team works cross-functionally with Strategic Sourcing, Engineering, Program Management, Operations, and a global supplier base to support aggressive AI infrastructure deployment schedules in a highly supply-constrained environment.</p>\n<p>As a Senior Supply Materials Manager, you will own end-to-end supply execution for one or more strategic OEM and ODM partners across multiple concurrent hardware programs. You will ensure allocation commitments, material readiness, and manufacturing capacity align with CoreWeave&#39;s deployment plans. This role operates at the intersection of operations, sourcing, engineering, and suppliers, requiring strong execution discipline and comfort navigating ambiguity.</p>\n<p>You will act as the single-threaded owner for supply execution, proactively identifying risks, driving recovery actions, and maintaining operational stability as new NVIDIA-based platforms ramp.</p>\n<p>We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren&#39;t a 100% skill or experience match. Here are a few qualities we&#39;ve found compatible with our team. If some of this describes you, we&#39;d love to talk.</p>\n<ul>\n<li>You love driving execution in complex, supply-constrained environments</li>\n<li>You&#39;re curious about how hardware, manufacturing, and supply chains come together at scale</li>\n<li>You&#39;re an expert at turning demand signals into executable supply plans</li>\n</ul>\n<p>Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We&#39;re in an exciting stage of hyper-growth that you will not want to miss out on. We&#39;re not afraid of a little chaos, and we&#39;re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:</p>\n<ul>\n<li>Be Curious at Your Core</li>\n<li>Act Like an Owner</li>\n<li>Empower Employees</li>\n<li>Deliver Best-in-Class Client Experiences</li>\n<li>Achieve More Together</li>\n</ul>\n<p>We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems.</p>\n<p>As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!</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_7d1e1517-7a3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"CoreWeave","sameAs":"https://www.coreweave.com","logo":"https://logos.yubhub.co/coreweave.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/coreweave/jobs/4655160006","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["supply chain management","materials management","manufacturing operations","data center soit","hyperscaler","cloud service provider","AI hardware","OEM and ODM supply execution","allocation-constrained environments","end-to-end supply execution","single-threaded owner","supply execution","risk identification","recovery actions","operational stability"],"x-skills-preferred":["experience working directly with Taiwan-based ODMs or global OEM manufacturing partners","familiarity with server, rack-level, or AI system builds including GPU, memory, power, and thermal components","experience supporting multiple overlapping NPI and production ramps"],"datePosted":"2026-04-18T15:46:22.456Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Taiwan"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"supply chain management, materials management, manufacturing operations, data center soit, hyperscaler, cloud service provider, AI hardware, OEM and ODM supply execution, allocation-constrained environments, end-to-end supply execution, single-threaded owner, supply execution, risk identification, recovery actions, operational stability, experience working directly with Taiwan-based ODMs or global OEM manufacturing partners, familiarity with server, rack-level, or AI system builds including GPU, memory, power, and thermal components, experience supporting multiple overlapping NPI and production ramps"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_faffae87-882"},"title":"Staff Software Engineer - GenAI Performance and Kernel","description":"<p>As a staff software engineer for GenAI Performance and Kernel, you will own the design, implementation, optimization, and correctness of the high-performance GPU kernels powering our GenAI inference stack. You will lead development of highly-tuned, low-level compute paths, manage trade-offs between hardware efficiency and generality, and mentor others in kernel-level performance engineering.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Leading the design, implementation, benchmarking, and maintenance of core compute kernels optimized for various hardware backends (GPU, accelerators)</li>\n<li>Driving the performance roadmap for kernel-level improvements: vectorization, tensorization, tiling, fusion, mixed precision, sparsity, quantization, memory reuse, scheduling, auto-tuning, etc.</li>\n<li>Integrating kernel optimizations with higher-level ML systems</li>\n<li>Building and maintaining profiling, instrumentation, and verification tooling to detect correctness, performance regressions, numerical issues, and hardware utilization gaps</li>\n<li>Leading performance investigations and root-cause analysis on inference bottlenecks, e.g. memory bandwidth, cache contention, kernel launch overhead, tensor fragmentation</li>\n<li>Establishing coding patterns, abstractions, and frameworks to modularize kernels for reuse, cross-backend portability, and maintainability</li>\n<li>Influencing system architecture decisions to make kernel improvements more effective (e.g. memory layout, dataflow scheduling, kernel fusion boundaries)</li>\n<li>Mentoring and guiding other engineers working on lower-level performance, providing code reviews, and helping set best practices</li>\n<li>Collaborating with infrastructure, tooling, and ML teams to roll out kernel-level optimizations into production, and monitoring their impact</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>BS/MS/PhD in Computer Science, or a related field</li>\n<li>Deep hands-on experience writing and tuning compute kernels (CUDA, Triton, OpenCL, LLVM IR, assembly or similar sort) for ML workloads</li>\n<li>Strong knowledge of GPU/accelerator architecture: warp structure, memory hierarchy (global, shared, register, L1/L2 caches), tensor cores, scheduling, SM occupancy, etc.</li>\n<li>Experience with advanced optimization techniques: tiling, blocking, software pipelining, vectorization, fusion, loop transformations, auto-tuning</li>\n<li>Familiarity with ML-specific kernel libraries (cuBLAS, cuDNN, CUTLASS, oneDNN, etc.) or open kernels</li>\n<li>Strong debugging and profiling skills (Nsight, NVProf, perf, vtune, custom instrumentation)</li>\n<li>Experience reasoning about numerical stability, mixed precision, quantization, and error propagation</li>\n<li>Experience in integrating optimized kernels into real-world ML inference systems; exposure to distributed inference pipelines, memory management, and runtime systems</li>\n<li>Experience building high-performance products leveraging GPU acceleration</li>\n<li>Excellent communication and leadership skills , able to drive design discussions, mentor colleagues, and make trade-offs visible</li>\n<li>A track record of shipping performance-critical, high-quality production software</li>\n<li>Bonus: published in systems/ML performance venues (e.g. MLSys, ASPLOS, ISCA, PPoPP), experience with custom accelerators or FPGA, experience with sparsity or model compression techniques</li>\n</ul>\n<p>The pay range for this role is $190,900-$232,800 USD per year, depending on location and experience.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_faffae87-882","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8202700002","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$190,900-$232,800 USD per year","x-skills-required":["Compute kernels","GPU/accelerator architecture","Advanced optimization techniques","ML-specific kernel libraries","Debugging and profiling skills","Numerical stability","Mixed precision","Quantization","Error propagation","Distributed inference pipelines","Memory management","Runtime systems","High-performance products","GPU acceleration"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:46:07.442Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Compute kernels, GPU/accelerator architecture, Advanced optimization techniques, ML-specific kernel libraries, Debugging and profiling skills, Numerical stability, Mixed precision, Quantization, Error propagation, Distributed inference pipelines, Memory management, Runtime systems, High-performance products, GPU acceleration","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":190900,"maxValue":232800,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_97212bdf-dd1"},"title":"Research Engineer, Interpretability","description":"<p>Job Title: Research Engineer, Interpretability</p>\n<p>About the Role:</p>\n<p>When you see what modern language models are capable of, do you wonder, &quot;How do these things work? How can we trust them?&quot; The Interpretability team at Anthropic is working to reverse-engineer how trained models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe.</p>\n<p>Think of us as doing &quot;neuroscience&quot; of neural networks using &quot;microscopes&quot; we build - or reverse-engineering neural networks like binary programs.</p>\n<p>More resources to learn about our work:</p>\n<ul>\n<li>Our research blog - covering advances including Monosemantic Features and Circuits</li>\n</ul>\n<ul>\n<li>An Introduction to Interpretability from our research lead, Chris Olah</li>\n</ul>\n<ul>\n<li>The Urgency of Interpretability from CEO Dario Amodei</li>\n</ul>\n<ul>\n<li>Engineering Challenges Scaling Interpretability - directly relevant to this role</li>\n</ul>\n<ul>\n<li>60 Minutes segment - Around 8:07, see a demo of tooling our team built</li>\n</ul>\n<ul>\n<li>New Yorker article - what it&#39;s like to work on one of AI&#39;s hardest open problems</li>\n</ul>\n<p>Even if you haven&#39;t worked on interpretability before, the infrastructure expertise is similar to what&#39;s needed across the lifecycle of a production language model:</p>\n<ul>\n<li>Pretraining: Training dictionary learning models looks a lot like model pretraining - creating stable, performant training jobs for massively parameterized models across thousands of chips</li>\n</ul>\n<ul>\n<li>Inference: Interp runs a customized inference stack. Day-to-day analysis requires services that allow editing a model&#39;s internal activations mid-forward-pass - for example, adding a &quot;steering vector&quot;</li>\n</ul>\n<ul>\n<li>Performance: Like all LLM work, we push up against the limits of hardware and software. Rather than squeezing the last 0.1%, we are focused on finding bottlenecks, fixing them and moving ahead given rapidly evolving research and safety mission</li>\n</ul>\n<p>The science keeps scaling - and it&#39;s now applied directly in safety audits on frontier models, with real deadlines. As our research has matured, engineering and infrastructure have become a bottleneck. Your work will have a direct impact on one of the most important open problems in AI.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Build and maintain the specialized inference and training infrastructure that powers interpretability research - including instrumented forward/backward passes, activation extraction, and steering vector application</li>\n</ul>\n<ul>\n<li>Resolve scaling and efficiency bottlenecks through profiling, optimization, and close collaboration with peer infrastructure teams</li>\n</ul>\n<ul>\n<li>Design tools, abstractions, and platforms that enable researchers to rapidly experiment without hitting engineering barriers</li>\n</ul>\n<ul>\n<li>Help bring interpretability research into production safety audits - with real deadlines and high reliability expectations</li>\n</ul>\n<ul>\n<li>Work across the stack - from model internals and accelerator-level optimization to user-facing research tooling</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>Have 5-10+ years of experience building software</li>\n</ul>\n<ul>\n<li>Are highly proficient in at least one programming language (e.g., Python, Rust, Go, Java) and productive with Python</li>\n</ul>\n<ul>\n<li>Are extremely curious about unfamiliar domains; can quickly learn and put that knowledge to work, e.g. diving into new layers of the stack to find bottlenecks</li>\n</ul>\n<ul>\n<li>Have a strong ability to prioritize the most impactful work and are comfortable operating with ambiguity and questioning assumptions</li>\n</ul>\n<ul>\n<li>Prefer fast-moving collaborative projects to extensive solo efforts</li>\n</ul>\n<ul>\n<li>Are curious about interpretability research and its role in AI safety (though no research experience is required!)</li>\n</ul>\n<ul>\n<li>Care about the societal impacts and ethics of your work</li>\n</ul>\n<ul>\n<li>Are comfortable working closely with researchers, translating research needs into engineering solutions.</li>\n</ul>\n<p>Strong candidates may also have experience with:</p>\n<ul>\n<li>Optimizing the performance of large-scale distributed systems</li>\n</ul>\n<ul>\n<li>Language modeling fundamentals with transformers</li>\n</ul>\n<ul>\n<li>High Performance LLM optimization: memory management, compute efficiency, parallelism strategies, inference throughput optimization</li>\n</ul>\n<ul>\n<li>Working hands-on in a mainstream ML stack - PyTorch/CUDA on GPUs or JAX/XLA on TPUs</li>\n</ul>\n<ul>\n<li>Collaborating closely with researchers and building tooling to support research teams; or directly performed research with complex engineering challenges</li>\n</ul>\n<p>Representative Projects:</p>\n<ul>\n<li>Building Garcon, a tool that allows researchers to easily instrument LLMs to extract internal activations</li>\n</ul>\n<ul>\n<li>Designing and optimizing a pipeline to efficiently collect petabytes of transformer activations and shuffle them</li>\n</ul>\n<ul>\n<li>Profiling and optimizing ML training jobs, including multi-GPU parallelism and memory optimization</li>\n</ul>\n<ul>\n<li>Building a steered inference system that applies targeted interventions to model internals at scale (conceptually similar to Golden Gate Claude but for safety research)</li>\n</ul>\n<p>Role Specific Location Policy:</p>\n<ul>\n<li>This role is based in the San Francisco office; however, we are open to considering exceptional candidates for remote work on a case-by-case basis.</li>\n</ul>\n<p>The annual compensation range for this role is listed below.</p>\n<p>For sales roles, the range provided is the role&#39;s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p>\n<p>Annual Salary: $315,000-$560,000 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_97212bdf-dd1","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/4980430008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$315,000-$560,000 USD","x-skills-required":["Python","Rust","Go","Java","PyTorch","CUDA","JAX","XLA","Transformers","High Performance LLM optimization","Memory management","Compute efficiency","Parallelism strategies","Inference throughput optimization"],"x-skills-preferred":["Optimizing the performance of large-scale distributed systems","Language modeling fundamentals","Collaborating closely with researchers and building tooling to support research teams"],"datePosted":"2026-04-18T15:46:01.999Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Rust, Go, Java, PyTorch, CUDA, JAX, XLA, Transformers, High Performance LLM optimization, Memory management, Compute efficiency, Parallelism strategies, Inference throughput optimization, Optimizing the performance of large-scale distributed systems, Language modeling fundamentals, Collaborating closely with researchers and building tooling to support research teams","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":315000,"maxValue":560000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_71554e46-b64"},"title":"Senior Engineering Manager, AI Runtime","description":"<p>At Databricks, we are committed to enabling data teams to solve the world&#39;s toughest problems. As a Senior Engineering Manager, you will lead the team owning both the product experience and the foundational infrastructure of our AI Runtime (AIR) product.</p>\n<p>You will be responsible for shaping customer-facing capabilities while designing for scalability, extensibility, and performance of GPU training and adjacent areas. This will involve collaborating closely across the platform, product, infrastructure, and research organisations.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Leading, mentoring, and growing a high-performing engineering team responsible for the Custom Training product and its foundational infrastructure</li>\n<li>Defining and owning the product and technical roadmap for AIR, balancing customer experience, functionality, and foundational investments</li>\n<li>Collaborating closely with product, research, platform, infrastructure teams, and customers to drive end-to-end delivery</li>\n<li>Driving architectural decisions and product design for managed GPU training at scale</li>\n<li>Advocating for customer needs through direct engagement, ensuring engineering decisions translate to clear product impact</li>\n</ul>\n<p>We are looking for someone with 8+ years of software engineering experience, with 3+ years in engineering management. You should have a track record of building and operating managed GPU training infrastructure at scale, as well as deep familiarity with distributed training frameworks and parallelism strategies.</p>\n<p>In addition, you should have experience with training resilience patterns, such as checkpointing, elastic training, and automated failure recovery for long-running jobs. You should also have a strong understanding of GPU performance fundamentals, including NCCL, interconnect topologies, and memory optimisation.</p>\n<p>Experience building platform products with clear SLAs is also essential, as is strong cross-functional leadership across platform, product, and research teams. Excellent collaboration and communication skills are also required.</p>\n<p>The pay range for this role is $228,600-$314,250 USD per year, depending on location. 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_71554e46-b64","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/8490282002","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$228,600-$314,250 USD per year","x-skills-required":["software engineering","engineering management","distributed training frameworks","parallelism strategies","GPU training infrastructure","checkpointing","elastic training","automated failure recovery","GPU performance fundamentals","NCCL","interconnect topologies","memory optimisation"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:45:28.312Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California; San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"software engineering, engineering management, distributed training frameworks, parallelism strategies, GPU training infrastructure, checkpointing, elastic training, automated failure recovery, GPU performance fundamentals, NCCL, interconnect topologies, memory optimisation","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":228600,"maxValue":314250,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_28107212-128"},"title":"Performance Engineer, GPU","description":"<p>As a GPU Performance Engineer at Anthropic, you will be responsible for architecting and implementing the foundational systems that power Claude and push the frontiers of what&#39;s possible with large language models. You will maximize GPU utilization and performance at unprecedented scale, develop cutting-edge optimizations that directly enable new model capabilities, and dramatically improve inference efficiency.</p>\n<p>Working at the intersection of hardware and software, you will implement state-of-the-art techniques from custom kernel development to distributed system architectures. Your work will span the entire stack,from low-level tensor core optimizations to orchestrating thousands of GPUs in perfect synchronization.</p>\n<p>Strong candidates will have a track record of delivering transformative GPU performance improvements in production ML systems and will be excited to shape the future of AI infrastructure alongside world-class researchers and engineers.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Architect and implement foundational systems that power Claude</li>\n<li>Maximize GPU utilization and performance at unprecedented scale</li>\n<li>Develop cutting-edge optimizations that directly enable new model capabilities</li>\n<li>Dramatically improve inference efficiency</li>\n<li>Implement state-of-the-art techniques from custom kernel development to distributed system architectures</li>\n<li>Work at the intersection of hardware and software</li>\n<li>Span the entire stack,from low-level tensor core optimizations to orchestrating thousands of GPUs in perfect synchronization</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Deep experience with GPU programming and optimization at scale</li>\n<li>Impact-driven, passionate about delivering measurable performance breakthroughs</li>\n<li>Ability to navigate complex systems from hardware interfaces to high-level ML frameworks</li>\n<li>Enjoy collaborative problem-solving and pair programming</li>\n<li>Want to work on state-of-the-art language models with real-world impact</li>\n<li>Care about the societal impacts of your work</li>\n<li>Thrive in ambiguous environments where you define the path forward</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Experience with GPU Kernel Development: CUDA, Triton, CUTLASS, Flash Attention, tensor core optimization</li>\n<li>ML Compilers &amp; 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You will push the boundaries of container orchestration, manage exascale compute resources, and collaborate closely with research and systems teams to deliver reliable, ultra-scalable infrastructure.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Build and manage massive-scale clusters to host, persist, train, and serve AI workloads with extreme reliability and performance.</li>\n<li>Design, develop, and extend an in-house container orchestration platform that achieves superior scalability, isolation, resource efficiency, and fault-tolerance compared to off-the-shelf solutions.</li>\n<li>Collaborate with research teams to architect and optimize compute clusters specifically for large-scale training runs, inference services, and real-time applications.</li>\n<li>Profile, debug, and resolve complex system-level performance bottlenecks, resource contention, scheduling issues, and reliability problems across the full stack.</li>\n<li>Own end-to-end infrastructure initiatives with first-principles design, rigorous testing, automation, and continuous optimization to support frontier AI compute demands.</li>\n</ul>\n<p>Basic Qualifications:</p>\n<ul>\n<li>Deep expertise in virtualization technologies (KVM, Xen, QEMU) and advanced containerization/sandboxing (Kata, Firecracker, gVisor, Sysbox, or equivalent).</li>\n<li>Strong proficiency in systems programming languages such as C/C++ and Rust.</li>\n<li>Proven track record profiling, debugging, and optimizing complex system-level performance issues, with deep knowledge of Linux kernel internals, resource management, scheduling, memory management, and low-level engineering.</li>\n<li>Hands-on experience building or significantly enhancing distributed compute platforms, orchestration systems, or high-performance infrastructure at scale.</li>\n</ul>\n<p>Preferred Skills and Experience:</p>\n<ul>\n<li>Experience in Linux kernel development, hypervisor extensions, or low-level system programming for compute-intensive workloads.</li>\n<li>Proven track record operating or designing large-scale AI training/inference clusters (GPU/TPU scale).</li>\n<li>Experience with custom runtimes, isolation techniques, or bespoke platforms for specialized AI compute.</li>\n<li>Familiarity with performance tools, tracing, and debugging in production distributed environments.</li>\n</ul>\n<p>Compensation and Benefits:</p>\n<p>$180,000 - $440,000 USD</p>\n<p>Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short &amp; long-term disability insurance, life insurance, and various other discounts and perks.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5daf8f5f-60a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"xAI","sameAs":"https://www.xai.com/","logo":"https://logos.yubhub.co/xai.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/xai/jobs/5052040007","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$180,000 - $440,000 USD","x-skills-required":["virtualization technologies","advanced containerization/sandboxing","systems programming languages","Linux kernel internals","resource management","scheduling","memory management","low-level engineering"],"x-skills-preferred":["Linux kernel development","hypervisor extensions","low-level system programming","custom runtimes","isolation techniques","bespoke platforms"],"datePosted":"2026-04-18T15:39:56.115Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Palo Alto, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"virtualization technologies, advanced containerization/sandboxing, systems programming languages, Linux kernel internals, resource management, scheduling, memory management, low-level engineering, Linux kernel development, hypervisor extensions, low-level system programming, custom runtimes, isolation techniques, bespoke platforms","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":440000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_41d78c61-d2c"},"title":"Senior Engineer, XBAT DevOps","description":"<p>The Software Integration &amp; Operations group turns frontier autonomy into mission-ready aircraft. We own the commit-to-flight pipeline\ndeterministic simulation at cluster scale, HIL/VIL integration, CI/CD, automated testing, and release engineering. Our goal is simple: make AI fly\neffectively, safely, and fast.</p>\n<p>As a Senior Engineer, you will be dedicated to Shield AI&#39;s next-generation aircraft program, adopting our existing infrastructure to advance new capabilities. You&#39;ll design, build, and scale C++-based simulation tools that test and validate the full aircraft software stack\from autonomy to avionics\before it ever flies. Your simulation infrastructure will enable developers to test faster, system engineers to evaluate performance earlier, and release engineers to ship with confidence.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Build and scale simulation frameworks for integrated testing of autonomy, GNC, and embedded systems in C++.</li>\n<li>Design deterministic, high-performance simulation tools capable of faster-than-real-time execution for development, testing, and release.</li>\n<li>Integrate core physics, dynamics, and system models (aerodynamics, propulsion, controls) into a unified simulation environment.</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>Develop infrastructure for CI integration, parallel simulation execution, and automated regression testing.</li>\n<li>Profile, optimize, and validate C++ codebases for performance, determinism, and fidelity.</li>\n<li>Contribute to architecture decisions that define the next generation of aircraft simulation tools within Shield AI.</li>\n<li>Mentor engineers and guide best practices in C++, simulation architecture, and performance engineering.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>BS or MS in Computer Science, Aerospace, Robotics, or related field.</li>\n<li>5+ years of experience in software development, with emphasis on modern C++ (C++17 or later) and performance optimization.</li>\n<li>Proven experience developing or integrating simulation systems for robotics, aerospace, or autonomous systems.</li>\n<li>Strong grasp of real-time and deterministic software design, including multi-threading, synchronization, and memory management.</li>\n<li>Understanding of rigid-body dynamics, kinematics, and basic flight mechanics.</li>\n<li>Familiarity with DevOps-integrated simulation workflows, including CI/CD and containerized environments.</li>\n<li>Ability to debug complex build and runtime environments (CMake, dependency management, logging, profiling tools).</li>\n<li>Strong collaboration and communication skills across software, hardware, and systems disciplines.</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Experience with distributed or cloud-based simulation (e.g., cluster orchestration, Kubernetes).</li>\n<li>Working knowledge of Python for data analysis, test automation, or simulation orchestration.</li>\n<li>Familiarity with sensor and actuator modeling, and integrating avionics or autonomy software within simulation.</li>\n</ul>\n<p>Salary: $158,000 - $215,000 a year</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_41d78c61-d2c","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/7a5377da-0d83-434a-a3c9-8b3ff99b97f7","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$158,000 - $215,000 a year","x-skills-required":["C++","Simulation","Autonomy","GNC","Embedded Systems","DevOps","CI/CD","Containerized Environments","Real-Time Software Design","Multi-Threading","Synchronization","Memory Management","Rigid-Body Dynamics","Kinematics","Flight Mechanics"],"x-skills-preferred":["Distributed Simulation","Cloud-Based Simulation","Python","Data Analysis","Test Automation","Simulation Orchestration","Sensor and Actuator Modeling","Avionics or Autonomy Software"],"datePosted":"2026-04-17T13:05:18.053Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas, Texas / Boston, MA / San Diego, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C++, Simulation, Autonomy, GNC, Embedded Systems, DevOps, CI/CD, Containerized Environments, Real-Time Software Design, Multi-Threading, Synchronization, Memory Management, Rigid-Body Dynamics, Kinematics, Flight Mechanics, Distributed Simulation, Cloud-Based Simulation, Python, Data Analysis, Test Automation, Simulation Orchestration, Sensor and Actuator Modeling, Avionics or Autonomy Software","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":158000,"maxValue":215000,"unitText":"YEAR"}}},{"@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_a77ea778-74e"},"title":"Senior Engineer, XBAT Simulation Infrastructure","description":"<p>The Software Integration &amp; Operations group turns frontier autonomy into mission-ready aircraft. We own the commit-to-flight pipeline,deterministic simulation at cluster scale, HIL/VIL integration, CI/CD, automated testing, and release engineering. As a Senior Modeling &amp; Simulation Engineer, you will be dedicated to Shield AI&#39;s next-generation aircraft program, advancing our infrastructure to enable a streamlined simulation test pipeline.</p>\n<p>You&#39;ll design, build, and scale the models and infrastructure needed to use Shield&#39;s simulation platform for qualified software validation efforts. Your simulation infrastructure will enable developers to test faster, system engineers to evaluate performance earlier, and release engineers to ship with confidence.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Build and scale simulation frameworks for integrated testing of autonomy, GNC, and embedded systems in C++.</li>\n<li>Design deterministic, high-performance simulation tools capable of faster-than-real-time execution for development, testing, and release.</li>\n<li>Implement scenario simulation tooling and formal test infrastructure.</li>\n<li>Collaborate across autonomy, embedded, GNC, and test engineering to ensure the simulation mirrors real aircraft behavior and mission scenarios.</li>\n<li>Profile, optimize, and validate C++ codebases for performance, determinism, and fidelity.</li>\n<li>Perform verification &amp; validation (V&amp;V) analysis activities on model tools.</li>\n<li>Contribute to architecture decisions that define the next generation of aircraft simulation tools within Shield AI.</li>\n<li>Mentor engineers and guide best practices in C++, simulation architecture, and performance engineering.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>BS or MS in Computer Science, Aerospace, Robotics, or related field.</li>\n<li>5+ years of experience in software development, with emphasis on modern C++ (C++17 or later) and performance optimization.</li>\n<li>Proven experience developing or integrating simulation systems for robotics, aerospace, or autonomous systems.</li>\n<li>Strong grasp of real-time and deterministic software design, including multi-threading, synchronization, and memory management.</li>\n<li>Experience with DevOps-integrated simulation workflows, including CI/CD and automated hardware testing environments.</li>\n</ul>\n<p><strong>Preferences</strong></p>\n<ul>\n<li>Understanding of rigid-body dynamics, kinematics, and basic flight and sensor mechanics.</li>\n<li>Familiarity with sensor and actuator modeling and integrating avionics or autonomy software within simulation.</li>\n<li>Working knowledge of Python for data analysis, test automation, or simulation orchestration.</li>\n<li>Ability to debug complex build and runtime environments (CMake, CPM, dependency management, logging, profiling tools).</li>\n<li>Strong collaboration and communication skills across software, hardware, and systems disciplines.</li>\n</ul>\n<p>$125,000 - $200,000 a year</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_a77ea778-74e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Shield AI","sameAs":"http://bit.ly/shieldai_lever_homepage","logo":"https://logos.yubhub.co/bit.ly.png"},"x-apply-url":"https://jobs.lever.co/shieldai/8a471d5b-833a-402c-b7a5-4c22b3aee16a","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$125,000 - $200,000 a year","x-skills-required":["C++","Simulation frameworks","Autonomy","GNC","Embedded systems","Real-time software design","Multi-threading","Synchronization","Memory management","DevOps-integrated simulation workflows","CI/CD","Automated hardware testing environments"],"x-skills-preferred":["Rigid-body dynamics","Kinematics","Flight and sensor mechanics","Sensor and actuator modeling","Avionics or autonomy software","Python","Data analysis","Test automation","Simulation orchestration","Debugging complex build and runtime environments"],"datePosted":"2026-04-17T13:02:26.515Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas, Texas / San Diego, California / Boston, MA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C++, Simulation frameworks, Autonomy, GNC, Embedded systems, Real-time software design, Multi-threading, Synchronization, Memory management, DevOps-integrated simulation workflows, CI/CD, Automated hardware testing environments, Rigid-body dynamics, Kinematics, Flight and sensor mechanics, Sensor and actuator modeling, Avionics or autonomy software, Python, Data analysis, Test automation, Simulation orchestration, Debugging complex build and runtime environments","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":125000,"maxValue":200000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9d27e558-af6"},"title":"Senior Site Reliability Engineer","description":"<p><strong>Role</strong></p>\n<p>We are building a global operating network that finally enables supply-chain companies to collaborate within one platform. Our workflow engine empowers non-technical industry experts to model their complex manufacturing and operational processes. Our forms engine enables unprecedented data exchange between companies. 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Touch device users, explore by touch or with swipe gestures.</p>\n<p><strong>Product Manager Memory Test</strong></p>\n<p>Sunnyvale, California, United States</p>\n<p>Save</p>\n<p>Category: Product ManagementHire Type: Employee</p>\n<p><strong>Job ID</strong> 16239<strong>Base Salary Range</strong> $183000-$274000<strong>Date posted</strong> 03/17/2026</p>\n<p>You are an experienced leader with a strong understanding of the entire IC design flow from architectural definition through physical implementation and signoff with a focus on design-for-test (DFT), automatic test pattern generation (ATPG), built-in-self-test (BIST) and yield diagnostics. You are intimately familiar with in-system and manufacturing test market, design techniques and methodologies, customer requirements, and industry landscape. You exhibit solid cross-functional skills to work with senior customer engineering management, Synopsys’ leadership, and collaborate with strong R&amp;D and Product Engineering teams. You thrive in the EDA or semiconductor sector as a senior product manager or marketer – ideally in the San Francisco Bay Area.</p>\n<p><strong>What You’ll Be Doing:</strong></p>\n<ul>\n<li>Managing and executing product strategy, product roadmap, marketing campaigns, and customer adoptions for Synopsys’ end-to-end DFT/ATPG/BIST products for in-system and manufacturing test.</li>\n</ul>\n<p>Tracking engagement pipeline and key milestones to meet goals through cross-functional collaboration and driving business and technical objectives.</p>\n<ul>\n<li>Creating compelling presentations and driving the development of other content, such as blogs, videos, webinars, and advertising material.</li>\n</ul>\n<p>Serving as a subject matter expert internally and externally, interacting with customers and field teams.</p>\n<p>Monitoring market and competitive trends, feeding insights back into product and leadership teams to adjust strategies and execution as needed.</p>\n<p><strong>The Impact You Will Have:</strong></p>\n<ul>\n<li>Driving Synopsys&#39; leadership in in-system &amp; manufacturing test through innovative product strategies focusing on Memory Test &amp; Repair including Multi-die Test.</li>\n</ul>\n<p>Directing the product road map development in collaboration with cross-functional teams.</p>\n<p>Creating impactful marketing and customer campaigns, outbound initiatives, and compelling collateral to elevate product visibility.</p>\n<p>Providing market and competitive insights to perform strategic adjustments and maintain a competitive edge.</p>\n<p><strong>What You’ll Need:</strong></p>\n<ul>\n<li>Expert knowledge and passion for Design-for-Test (DFT), Automatic Test Pattern Generation (ATPG) &amp; Memory Test &amp; Repair; keen awareness of the in-system/manufacturing test market and the ecosystem.</li>\n</ul>\n<p>10+ years of relevant design/EDA experience, specifically in product management or marketing.</p>\n<p>BS or MS degree in Electrical Engineering, or similar; MBA/PHD is plus.</p>\n<p>Strong collaborative and cross-functional skills to work in a matrix environment with solid organizational skills and a flexible mindset.</p>\n<p>Excellent presentation, oral/written communication skills in English, and interpersonal skills.</p>\n<p>Customer-centric approach and ability to engage effectively with diverse stakeholders both within and outside the company.</p>\n<p><strong>The Team You’ll Be a Part Of:</strong></p>\n<p>You will be part of a highly skilled and collaborative team focused on driving Synopsys’ leadership in DFT, BIST &amp; ATPG area. 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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 an accomplished engineering leader with more than a decade of hands-on experience in SoC verification, emulation, and system-level validation. 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The team comprises experts in HAV, simulation acceleration, R&amp;D, product management, and applications engineering, all working collaboratively to define and deploy innovative methodologies.</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_8909efe5-d39","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Synopsys","sameAs":"https://careers.synopsys.com","logo":"https://logos.yubhub.co/careers.synopsys.com.png"},"x-apply-url":"https://careers.synopsys.com/job/bengaluru/principal-solutions-engineer-hav-and-simxl/44408/93456899264","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Hardware-Assisted Verification","Simulation Acceleration","Hybrid Verification Flows","Emulation Platforms","Accelerated Simulation Environments","SoC Architectures","Memory Subsystems","High-Speed Interconnects","System-Level Testbenches","Transactors","Acceleration Frameworks","GenAI","AI-Assisted Techniques","High-Speed Interfaces","Multi-Die Architectures"],"x-skills-preferred":[],"datePosted":"2026-04-05T13:16:55.165Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Hardware-Assisted Verification, Simulation Acceleration, Hybrid Verification Flows, Emulation Platforms, Accelerated Simulation Environments, SoC Architectures, Memory Subsystems, High-Speed Interconnects, System-Level Testbenches, Transactors, Acceleration Frameworks, GenAI, AI-Assisted Techniques, High-Speed Interfaces, Multi-Die Architectures"},{"@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. 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They work on assignments like designing, developing, and troubleshooting software, leveraging the state-of-the-art technologies like AI/ML, GenAI and Cloud. Their critical contributions enable world-wide EDA designers to extend the frontiers of semiconductors and chip development.</p>\n<p><strong>Job Description</strong></p>\n<p><strong>Category</strong></p>\n<p>Engineering</p>\n<p><strong>Hire Type</strong></p>\n<p>Employee</p>\n<p><strong>Job ID</strong></p>\n<p>15159</p>\n<p><strong>Remote Eligible</strong></p>\n<p>No</p>\n<p><strong>Date Posted</strong></p>\n<p>02/04/2026</p>\n<p><strong>We Are:</strong></p>\n<p>At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.</p>\n<p><strong>You Are:</strong></p>\n<p>You are an enthusiastic and detail-oriented SoC RTL Performance Verification Engineer with a passion for developing and deploying verification solutions for System on Chip (SoC) designs. With a strong background in RTL hardware design and verification, you excel in using industry-standard languages like Verilog and SystemVerilog. Your expertise in developing ZeBu emulation-based verification IP (transactor) and solutions makes you a valuable asset to any team. You thrive in dynamic environments, tackling complex problems creatively while adhering to company policies and procedures. Your communication skills are exemplary, allowing you to work effectively with both internal teams and external clients. With a deep understanding of protocols like AMBA AXI/CHI and proficiency in UNIX and scripting, you bring a comprehensive skill set to the table, ready to make an impact in the rapidly evolving field of SoC performance verification.</p>\n<p><strong>What You’ll Be Doing:</strong></p>\n<ul>\n<li>Developing SoC Performance Validation (PV) flow and components (transactor model and CI/CD automation) on ZeBu emulator.</li>\n</ul>\n<ul>\n<li>Creating emulation-based transactor and solutions using SystemVerilog and C++.</li>\n</ul>\n<ul>\n<li>Providing technical support and guidance to customers during the deployment of the ZeBu emulator.</li>\n</ul>\n<p><strong>The Impact You Will Have:</strong></p>\n<ul>\n<li>Ensuring the reliability and performance of customer SoC designs through rigorous validation processes.</li>\n</ul>\n<ul>\n<li>Enhancing the capabilities of the ZeBu emulator transactor to meet evolving industry standards and customer needs.</li>\n</ul>\n<ul>\n<li>Contributing to the development of innovative SoC PV solutions that set Synopsys apart from competitors.</li>\n</ul>\n<ul>\n<li>Supporting customers in achieving their design and performance goals, thereby strengthening Synopsys&#39; market position.</li>\n</ul>\n<ul>\n<li>Driving continuous improvement in SoC PV methodologies, leading to more efficient and effective processes.</li>\n</ul>\n<ul>\n<li>Fostering collaboration and knowledge sharing within the team, enhancing overall performance and innovation.</li>\n</ul>\n<p><strong>What You’ll Need:</strong></p>\n<ul>\n<li>Bachelor&#39;s degree in Electrical Engineering or a related field (RTL design/verification) with a minimum of 12+ years of experience.</li>\n</ul>\n<ul>\n<li>A solid understanding of the SoC architecture among HW IPs, AMBA system buses, and LPDDR memory controllers in a mobile AP.</li>\n</ul>\n<ul>\n<li>Proficiency in developing emulation-based transactor models and solutions using SystemVerilog and C++.</li>\n</ul>\n<ul>\n<li>Proficiency with UNIX and scripting.</li>\n</ul>\n<p><strong>The Team You’ll Be A Part Of:</strong></p>\n<p>You will be part of a dynamic and innovative team focused on developing and deploying cutting-edge verification solutions for SoC designs. The team values collaboration, continuous learning, and a commitment to excellence, working together to drive technological advancements and deliver exceptional results for our customers.</p>\n<p><strong>Benefits</strong></p>\n<p>At Synopsys, innovation is driven by our incredible team around the world. We feel honored to work alongside such talented and passionate individuals who choose to make a difference here every day. We&#39;re proud to provide the comprehensive benefits and rewards that our team truly deserves.</p>\n<p>Visit Benefits Page</p>\n<ul>\n<li>### Health &amp; Wellness</li>\n</ul>\n<p>Comprehensive medical and healthcare plans that work for you and your family.</p>\n<ul>\n<li>### Time Away</li>\n</ul>\n<p>In addition to company holidays, we have ETO and FTO Programs.</p>\n<ul>\n<li>### Family Support</li>\n</ul>\n<p>Maternity and paternity leave, parenting resources, adoption and surrogacy assistance, and more.</p>\n<ul>\n<li>### ESPP</li>\n</ul>\n<p>Purchase Synopsys common stock at a 15% discount, with a 24 month look-back.</p>\n<ul>\n<li>### Retirement Plans</li>\n</ul>\n<p>Save for your future with our retirement plans that vary by region and country.</p>\n<ul>\n<li>### Compensation</li>\n</ul>\n<p>Competitive salaries.</p>\n<p>\\<em>\\</em> Benefits vary by country and region - check with your recruiter to confirm</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_e4d64b54-9d8","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/seongnam-si/senior-staff-r-and-d-engineer-soc/44408/91427515184","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["RTL design/verification","Verilog","SystemVerilog","ZeBu emulator","UNIX","scripting"],"x-skills-preferred":["AMBA AXI/CHI","LPDDR memory controllers"],"datePosted":"2026-03-09T11:07:14.173Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seongnam-si"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"RTL design/verification, Verilog, SystemVerilog, ZeBu emulator, UNIX, scripting, AMBA AXI/CHI, LPDDR memory controllers"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a986e7e2-8fe"},"title":"Senior ASIC Digital Designer","description":"<p>We Are:</p>\n<p>At Synopsys, we drive the innovations that shape the way we live and connect. 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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:</p>\n<p>You are a skilled and passionate engineer with deep expertise in system design, embedded firmware, digital design, and verification with over 15 years of impactful experience. You are a highly accomplished engineer with technical leadership, strategic thinking, and ability to model, architect, and validate mixed-signal SoC development, seeking to make a tangible impact in the semiconductor industry.</p>\n<p>A technical powerhouse as well as subject matter expert in latest DDR, LPDDR, MRDIMM and DFI protocols, with a proven track record in working successfully in IP product developments while focused on verification. You thrive in a matrixed, international, and team-oriented environment with multiple stakeholders. 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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>Inclusion and Diversity:</p>\n<p>Inclusion and Diversity are important to us. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, military veteran status, or disability.</p>\n<p>#LI-DP1</p>\n<p>Synopsys Canada ULC values the diversity of our workforce. We are committed to provide access &amp; opportunity to individuals with disabilities and will provide reasonable accommodation to individuals throughout the recruitment and employment process. Should you require an accommodation, please contact <a href=\"mailto:hr-help-canada@synopsys.com\">hr-help-canada@synopsys.com</a>.</p>\n<p>Benefits:</p>\n<p>At Synopsys, innovation is driven by our incredible team around the world. 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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><strong>Category</strong></p>\n<p>Engineering</p>\n<p><strong>Hire Type</strong></p>\n<p>Employee</p>\n<p><strong>Job ID</strong></p>\n<p>15195</p>\n<p><strong>Base Salary Range</strong></p>\n<p>$181000-$272000</p>\n<p><strong>Remote Eligible</strong></p>\n<p>No</p>\n<p><strong>Date Posted</strong></p>\n<p>02/16/2026</p>\n<p><strong>We Are:</strong></p>\n<p>At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.</p>\n<p><strong>You Are:</strong></p>\n<p>You are an accomplished engineering leader with a passion for advancing the frontiers of analog mixed-signal technology. With a deep understanding of memory and die-to-die interfaces, you thrive in environments where innovation meets real-world impact. You have a proven track record of architecting high-performance solutions, particularly in the realm of High Bandwidth Memory (HBM) interface design. You are committed to continuous learning, keeping pace with evolving technologies and industry trends. Your communication skills enable you to articulate ideas clearly and work effectively across sites and disciplines. Above all, you are driven by the opportunity to contribute to critical components powering AI systems, knowing your work has a lasting impact on the future of technology.</p>\n<p><strong>What You’ll Be Doing:</strong></p>\n<ul>\n<li>Reviewing and integrating the latest multichip and interposer technologies from various foundries into Synopsys’ HBM PHY products.</li>\n</ul>\n<ul>\n<li>Defining bump maps and top-level floorplans for HBM PHY products to ensure optimal performance, power, and area (PPA).</li>\n</ul>\n<ul>\n<li>Collaborating with layout teams to deliver top metal covercells optimized for performance and reliability in HBM PHY designs.</li>\n</ul>\n<ul>\n<li>Working with layout and SIPI teams to design interposer geometries that maximize performance and signal integrity.</li>\n</ul>\n<ul>\n<li>Mentoring junior engineers and providing technical guidance across multi-site teams.</li>\n</ul>\n<p><strong>The Impact You Will Have:</strong></p>\n<ul>\n<li>Elevate the performance and reliability of Synopsys’ HBM PHY products, directly contributing to the advancement of AI and high-performance computing systems.</li>\n</ul>\n<ul>\n<li>Enable successful integration of cutting-edge multichip and interposer technologies, ensuring Synopsys remains at the forefront of semiconductor innovation.</li>\n</ul>\n<ul>\n<li>Improve manufacturability and scalability of memory interface IPs, supporting the needs of leading semiconductor companies worldwide.</li>\n</ul>\n<ul>\n<li>Drive technical excellence across cross-functional teams, fostering collaboration and knowledge sharing.</li>\n</ul>\n<ul>\n<li>Enhance customer satisfaction by delivering robust, high-quality solutions that meet demanding market requirements.</li>\n</ul>\n<ul>\n<li>Support Synopsys’ reputation as a trusted IP provider through leadership, innovation, and problem-solving.</li>\n</ul>\n<p><strong>What You’ll Need:</strong></p>\n<ul>\n<li>MS or PhD in Electrical Engineering or related field.</li>\n</ul>\n<ul>\n<li>15+ years of experience in memory or die-to-die interface design.</li>\n</ul>\n<ul>\n<li>Expertise in floorplan optimization for IPs integrating full-custom analog and synthesized digital blocks.</li>\n</ul>\n<ul>\n<li>Strong experience with power grid design and EMIR analysis.</li>\n</ul>\n<ul>\n<li>Proficiency in interposer design and implementation.</li>\n</ul>\n<ul>\n<li>Solid understanding of analog principles and designs (bandgaps, LDO regulators, current mirrors, DLL/PLLs).</li>\n</ul>\n<ul>\n<li>Deep knowledge of signal-integrity and power integrity principles.</li>\n</ul>\n<ul>\n<li>Experience with layout impact on circuit performance and reliability.</li>\n</ul>\n<ul>\n<li>Ability to troubleshoot and debug memory interfaces effectively.</li>\n</ul>\n<ul>\n<li>Excellent communication and collaboration skills across multi-site teams.</li>\n</ul>\n<p><strong>Who You Are:</strong></p>\n<ul>\n<li>A collaborative leader who inspires and guides teams to technical excellence.</li>\n</ul>\n<ul>\n<li>Detail-oriented, analytical, and able to balance multiple priorities.</li>\n</ul>\n<ul>\n<li>Innovative thinker, open to new approaches and emerging technologies.</li>\n</ul>\n<ul>\n<li>Effective communicator, capable of translating complex technical concepts for diverse audiences.</li>\n</ul>\n<ul>\n<li>Resilient and proactive in addressing challenges and driving solutions.</li>\n</ul>\n<ul>\n<li>Committed to continuous learning and professional growth.</li>\n</ul>\n<p><strong>The Team You’ll Be A Part Of:</strong></p>\n<p>You’ll join our High Bandwidth Memory interface design team, a group of passionate engineers dedicated to developing best-in-class IP for the world’s most advanced computing systems. Our team collaborates across multiple sites and disciplines, leveraging expertise in analog mixed-signal design, layout, and signal integrity to deliver innovative solutions that power the next generation of AI and high-performance devices.</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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As a Technical Product Management, Sr Staff (Embedded Memory), you will be responsible for driving the development and delivery of innovative embedded memory products that meet the evolving needs of our customers.</p>\n<p><strong>What You&#39;ll Be Doing:</strong></p>\n<ul>\n<li>Translating customer requirements into comprehensive Marketing Requirement Documents (MRD) and Product Review Documents (PRD)</li>\n<li>Defining and shaping new embedded memory products to drive sustainable growth within the product line</li>\n<li>Conducting comparative studies of product offerings against competitor solutions and evolving customer needs</li>\n<li>Delivering targeted communication and training for Field Application Engineers (FAEs) to enhance technical engagement</li>\n<li>Promoting the product line through engaging articles, white papers, application notes, and seminars</li>\n<li>Acting as the technical interface among customers, FAEs, and R&amp;D, ensuring seamless collaboration and knowledge transfer</li>\n<li>Building and nurturing strategic relationships with architects, design engineers, and key partners across the industry</li>\n</ul>\n<p><strong>The Impact You Will Have:</strong></p>\n<ul>\n<li>Accelerate Synopsys&#39; leadership in embedded memory IP by delivering innovative solutions tailored to market needs</li>\n<li>Drive business growth through insightful product definition and strategic customer engagement</li>\n<li>Enhance product competitiveness via rigorous comparative analysis and benchmarking against industry standards</li>\n<li>Empower FAEs and customers with up-to-date technical training and resources, enabling successful design implementations</li>\n<li>Influence future technology roadmaps by translating customer feedback into actionable development priorities</li>\n<li>Strengthen Synopsys&#39; partnerships through effective communication and collaborative problem-solving</li>\n<li>Amplify the visibility and adoption of embedded memory products through impactful technical marketing and outreach</li>\n</ul>\n<p><strong>What You&#39;ll Need:</strong></p>\n<ul>\n<li>BS in Electrical Engineering with 8+ years relevant experience, or MS EE (preferred) with 6+ years relevant experience</li>\n<li>Expertise in embedded memory product lifecycle, including specification, development, validation, and integration in SoC design flows</li>\n<li>Strong knowledge of the interplay between embedded memory and Synopsys design flows, especially for CPUs, GPUs, DSPs, and SoCs</li>\n<li>Experience in FAE roles or hands-on SoC design, with knowledge of MRAM and TCAM-based design as a significant advantage</li>\n<li>Proven ability to develop and manage technical relationships with architects and design engineers at key customers and strategic partners</li>\n<li>Exceptional organizational and program management skills, with demonstrated flexibility to support global teams and customers</li>\n</ul>\n<p><strong>Who You Are:</strong></p>\n<ul>\n<li>Energetic, results-driven, and proactive in identifying and pursuing business opportunities</li>\n<li>Excellent communicator, fluent in both oral and written English, able to explain complex technical concepts clearly</li>\n<li>Adaptable and collaborative, thriving in a matrixed, multicultural environment</li>\n<li>Analytical thinker with a strategic mindset and a passion for continuous improvement</li>\n<li>Customer-focused, empathetic, and adept at building trust-based relationships</li>\n<li>Organized, detail-oriented, and able to juggle multiple priorities effectively</li>\n</ul>\n<p><strong>The Team You&#39;ll Be a Part Of:</strong></p>\n<p>You will join the Embedded Memory Product Management team at Synopsys, a diverse group of technical experts, product strategists, and innovators. The team collaborates closely with R&amp;D, Field Application Engineers, marketing, and customers worldwide to define and deliver next-generation memory solutions.</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_0c7fe312-77b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Synopsys","sameAs":"https://careers.synopsys.com","logo":"https://logos.yubhub.co/careers.synopsys.com.png"},"x-apply-url":"https://careers.synopsys.com/job/bengaluru/technical-product-management-sr-staff-embedded-memory/44408/91787554624","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["embedded memory product lifecycle","SoC design flows","MRAM and TCAM-based design","technical relationships with architects and design engineers","organizational and program management skills"],"x-skills-preferred":["electrical engineering","FAE roles or hands-on SoC design","complex technical concepts","matrixed, multicultural environment","strategic mindset","customer-focused","trust-based relationships"],"datePosted":"2026-03-09T11:02:01.935Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru, Karnataka, India"}},"employmentType":"FULL_TIME","occupationalCategory":"Product Management","industry":"Technology","skills":"embedded memory product lifecycle, SoC design flows, MRAM and TCAM-based design, technical relationships with architects and design engineers, organizational and program management skills, electrical engineering, FAE roles or hands-on SoC design, complex technical concepts, matrixed, multicultural environment, strategic mindset, customer-focused, trust-based relationships"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2ea1fdd9-5bc"},"title":"Senior Graphic Programmer","description":"<p><strong>About the Role</strong></p>\n<p>As a Senior Graphics Programmer, you will drive the implementation and optimization of our engine&#39;s core rendering systems. Working within a dedicated production team across multiple platforms, you will partner with artists and engineers to build performant, scalable graphics features that define the visual excellence of our titles.</p>\n<p><strong>What You Will Do</strong></p>\n<ul>\n<li>Prototype, develop, and refine graphical features within our proprietary engine for deployment across multiple target platforms.</li>\n<li>Analyze and optimize the rendering pipeline and graphics algorithms for console platforms (e.g., PlayStation, Xbox, Switch) and PC.</li>\n<li>Evaluate the performance and memory implications of various rendering techniques to inform architectural decisions.</li>\n<li>Design and implement debugging tools to support the graphics development and art integration workflows.</li>\n<li>Collaborate closely with client teams to gather requirements, define technical roadmaps, and prioritize improvements for our graphics technology.</li>\n<li>Continuously research and integrate relevant new techniques, exhibiting a self-driven approach to professional development.</li>\n<li>Create and maintain clear technical documentation to facilitate knowledge sharing.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Mastery of C++, with a strong foundation in C/C# and Object-Oriented Programming principles.</li>\n<li>Proven experience in multithreaded programming and low-level memory optimization.</li>\n<li>Deep, practical knowledge of modern graphics APIs (DirectX 11/12, Vulkan, OpenGL) and shader languages (HLSL/GLSL).</li>\n<li>Expertise in 3D mathematics, contemporary rendering algorithms, and performance-critical data structures.</li>\n<li>A rigorous focus on code quality, performance (CPU/GPU), and memory efficiency.</li>\n<li>Dedication to writing clean, maintainable, and portable production code.</li>\n<li>Ability to diagnose issues across engines, dependencies, and middleware, and propose and implement effective technical solutions.</li>\n<li>Experience in analyzing requirements, identifying technical risks, and presenting solution options with clear trade-off analysis.</li>\n<li>Hands-on experience with console development (Nintendo Switch, PlayStation, Xbox, etc.).</li>\n<li>Professional proficiency in written and spoken English, sufficient for comprehending technical documents and actively engaging in global team discussions and conference calls.</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_2ea1fdd9-5bc","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Ubisoft","sameAs":"https://jobs.smartrecruiters.com","logo":"https://logos.yubhub.co/ubisoft2.com.png"},"x-apply-url":"https://jobs.smartrecruiters.com/Ubisoft2/744000112075915--senior-graphic-programmer-new-project-on-switch2-","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["C++","C/C#","Object-Oriented Programming","Multithreaded programming","Low-level memory optimization","Modern graphics APIs","Shader languages","3D mathematics","Contemporary rendering algorithms","Performance-critical data structures"],"x-skills-preferred":[],"datePosted":"2026-03-09T10:58:46.246Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chengdu, Sichuan, China"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C++, C/C#, Object-Oriented Programming, Multithreaded programming, Low-level memory optimization, Modern graphics APIs, Shader languages, 3D mathematics, Contemporary rendering algorithms, Performance-critical data structures"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_825fba79-628"},"title":"Senior Engine Programmer","description":"<p><strong>About the Role</strong></p>\n<p>The Senior Engine Programmer holds primary responsibility for the maintenance, development, and optimization of the studio&#39;s proprietary game engine. This involves analyzing technical requirements, designing scalable solutions, and implementing robust engine features. The role requires proven expertise in performance analysis and optimization, with the ability to diagnose complex bottlenecks and deliver efficient solutions.</p>\n<p><strong>What You Will Do</strong></p>\n<ul>\n<li>Architect and implement engine extensions to fulfill project requirements within scheduled timelines.</li>\n<li>Proactively identify technologies critical to game performance and design cost-effective solutions within technical and budgetary constraints.</li>\n<li>Maintain engine stability and cross-platform compatibility, ensuring rapid response to and resolution of critical issues.</li>\n<li>Conduct performance optimization using standard profiling tools across PC and console platforms.</li>\n<li>Collaborate effectively with internal teams and external partners, demonstrating clear technical communication.</li>\n<li>Continuously research and integrate relevant new techniques, exhibiting a self-driven approach to professional development.</li>\n<li>Create and maintain clear technical documentation to facilitate knowledge sharing.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Expert-level proficiency in C++ and strong understanding of C/C# and Object-Oriented Programming.</li>\n<li>Demonstrated expertise in performance analysis, memory management, and multithreaded programming.</li>\n<li>Proven experience in game engine architecture and optimization.</li>\n<li>Ability to diagnose issues across engines, dependencies, and middleware, and propose and implement effective technical solutions.</li>\n<li>Experience in analyzing requirements, identifying technical risks, and presenting solution options with clear trade-off analysis.</li>\n<li>Commitment to writing clean, maintainable, portable, and highly functional code.</li>\n<li>Hands-on experience with console development (Nintendo Switch, PlayStation, Xbox, etc.).</li>\n<li>Professional proficiency in written and spoken English, sufficient for comprehending technical documents and actively engaging in global team discussions and conference calls.</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_825fba79-628","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Ubisoft","sameAs":"https://jobs.smartrecruiters.com","logo":"https://logos.yubhub.co/ubisoft2.com.png"},"x-apply-url":"https://jobs.smartrecruiters.com/Ubisoft2/744000112075664-senior-engine-programmer-new-project-on-switch2-","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["C++","C/C#","Object-Oriented Programming","performance analysis","memory management","multithreaded programming","game engine architecture","optimization","console development"],"x-skills-preferred":["console development","game engine architecture","optimization"],"datePosted":"2026-03-09T10:57:52.123Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chengdu, Sichuan, China"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C++, C/C#, Object-Oriented Programming, performance analysis, memory management, multithreaded programming, game engine architecture, optimization, console development, console development, game engine architecture, optimization"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_62ec38a3-7f1"},"title":"In-house Linguist (Japanese to English)","description":"<p><strong>As a leading game localization company, we offer integrated text, audio localization and localization QA for all regions, languages and platforms, ensuring a fully authentic offering for players worldwide.</strong></p>\n<p>Our global footprint across Asia, Oceania, Europe, and the Americas enables us to run 24-hour follow-the-sun workflows, our professional translators and game developers continue to work on your project around the clock, delivering on even the most challenging timelines.</p>\n<p>The team at Keywords Studios handle media localization and translation services for any project size, from indie to AAA games. We help you speak to global audiences by translating your games for your target language and dialect, and ensure expert quality control throughout the game development and translation process through both technology solutions and human oversight.</p>\n<p><strong>Role overview:</strong></p>\n<p>The in-house Games Linguist position will be based at Keywords Tokyo. This is a unique opportunity to be part of a team focusing on videogames localization. Passionate about providing high quality translations and turning them into great gaming experience, you will be part of this adventure, translating world-renowned games.</p>\n<p>The role is to translate from Japanese into English, a variety of game content: seasonal and permanent content, as well as offer cards, informational popups, and just about anything else the player might read in-game! This role requires excellent language skills, creativity and a passion for Games.</p>\n<p><strong>Duties and responsibilities:</strong></p>\n<ul>\n<li>Translate, review &amp; proofread content from Japanese into English to a high-quality standard.</li>\n<li>Create, review and maintain style guides, glossaries and translation memories.</li>\n<li>Fix linguistic bugs reported by the testing team.</li>\n<li>Provide support and linguistic feedback to internal &amp; external teams - Assist with Review Reports and QA reports as needed.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>2+ years’ experience as an in-house video games linguist or freelancer.</li>\n<li>Highly proficient in Japanese language - English-Language Proficiency Test C1 / C2 CEFR certification, higher than IELTS 8.0 or equivalent capability.</li>\n<li>Educational qualification in linguistics - Experience working with Cat Tools - Availability to work exclusively in-house from our Keywords Tokyo studio (〒168-0063 Tokyo, Suginami City, Izumi, 1 Chome−22−19 9F) - Passion for videogames</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_62ec38a3-7f1","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Keywords Studios","sameAs":"https://apply.workable.com","logo":"https://logos.yubhub.co/j.com.png"},"x-apply-url":"https://apply.workable.com/j/804CC07FFA","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Japanese","English","Linguistics","Cat Tools","Video games localization"],"x-skills-preferred":["Game development","Translation memory","Style guide"],"datePosted":"2026-03-09T10:54:09.437Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Suginami City"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Japanese, English, Linguistics, Cat Tools, Video games localization, Game development, Translation memory, Style guide"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9cea4dd1-515"},"title":"Chef d'équipe artistique, environnements","description":"<p><strong>Art &amp; Animation</strong></p>\n<p>We&#39;re looking for a seasoned Art Director, Environments to join our team at Epic Games. 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We also offer a weekly indemnity (short-term disability) and a retirement savings plan with employer matching contributions. 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In addition to the EAP (employee assistance program), we also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees &amp; dependents.</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_2b48a97b-3bd","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Epic Games","sameAs":"https://www.epicgames.com","logo":"https://logos.yubhub.co/epicgames.com.png"},"x-apply-url":"https://www.epicgames.com/en-US/careers/jobs/5793658004","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["environment art","game development","Unreal Engine","PBR","Photogrammetry","performance optimization","memory trade-offs","scalability","asset reuse","art fundamentals","composition","lighting","color theory","scale","visual appeal"],"x-skills-preferred":["leadership","team management","mentoring","collaboration","low-ego leadership style"],"datePosted":"2026-03-08T22:14:45.774Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Montreal, Canada"}},"employmentType":"FULL_TIME","occupationalCategory":"Design","industry":"Technology","skills":"environment art, game development, Unreal Engine, PBR, Photogrammetry, performance optimization, memory trade-offs, scalability, asset reuse, art fundamentals, composition, lighting, color theory, scale, visual appeal, leadership, team management, mentoring, collaboration, low-ego leadership style"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e7674cdd-fe9"},"title":"Lead Environment Artist","description":"<p><strong>Lead Environment Artist</strong></p>\n<p>We are seeking a highly skilled Lead Environment Artist to join our team at Epic Games. As a Lead Environment Artist, you will be responsible for creating high-quality environments for our games, including Rocket League.</p>\n<p><strong>What You Will Do</strong></p>\n<ul>\n<li>Collaborate with the Art Director to define, maintain, and elevate the visual quality of the worlds in Rocket League, balancing realism, legibility, and performance in all visual aspects of the game.</li>\n<li>Lead and collaborate with artists from various areas and external partners to create high-quality environments on a large scale.</li>\n<li>Develop a strong understanding of the game&#39;s direction and provide guidance on the execution of environment art.</li>\n<li>Review and provide feedback on the work of other artists to ensure consistency and quality.</li>\n<li>Represent the Art Director in meetings, discussions, and planning sessions as needed.</li>\n</ul>\n<p><strong>What We Are Looking For</strong></p>\n<ul>\n<li>A strong understanding of environment art for games, including realistic constructions, natural landscapes, and the integration of organic and artificial elements.</li>\n<li>Demonstrated experience in supervising large outsourcing pipelines, including asset summaries, reviews, feedback, and quality control of multiple vendors.</li>\n<li>Experience working with designers to support main game loops.</li>\n<li>A strong desire and ability to grow, lead, and manage teams with clarity and empathy.</li>\n<li>Experience in launching at least one commercial game with 3D realistic environments on multiple platforms, including console and PC, ideally in live or long-term titles (experience with the Unreal Engine is a plus).</li>\n<li>A deep understanding of performance, optimization, and memory compensation, with a practical approach to scalability and asset reusability.</li>\n<li>Strong technical knowledge of art, including workflows, tools, and content integration for PBR and photogrammetry pipelines.</li>\n<li>Excellent understanding of art fundamentals, composition, lighting, color theory, scale, and visual appeal.</li>\n<li>Experience as a leader responsible for the development of environment art from start to finish, including internal teams and external partners.</li>\n<li>A highly collaborative mindset, low-ego leadership style, and strong instincts for what makes environments fun.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>We pay 100% of benefits for employees and dependents.</li>\n<li>Our current benefits package includes medical, dental, and life insurance coverage.</li>\n<li>We also offer additional benefits, including daily meal vouchers and transportation benefits for local employees.</li>\n</ul>\n<p><strong>About Us</strong></p>\n<p>Epic Games is a global company with 46 studios across 25 countries and over 4,500 employees worldwide. For over 25 years, we have created award-winning games and game engines that enable others to create visually stunning and interactive 3D content. Our Unreal Engine technology not only provides game developers with the ability to create high-fidelity interactive experiences for PC, console, mobile, and VR, but it is also adopted by creators in various industries, such as media and entertainment, automotive, and architecture. As we continue to build our game engine and develop notable games, we strive to form teams of world-class talent.</p>\n<p><strong>Join Something Epic</strong></p>\n<p>Epic Games values diverse teams and an inclusive work culture, and we are proud to be an equal opportunities employer. Learn more about our Equal Opportunities in Employment (EOE) policy here.</p>\n<p><strong>Note to Recruitment Agencies</strong></p>\n<p>Epic does not accept unsolicited resumes or approaches from unauthorized third parties (including recruitment or placement agencies) (i.e., a third party with which we do not have a validly executed and negotiated contract). We will not pay any fees to unauthorized third parties. More details about these matters can be found here.</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_e7674cdd-fe9","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Epic Games","sameAs":"https://www.epicgames.com","logo":"https://logos.yubhub.co/epicgames.com.png"},"x-apply-url":"https://www.epicgames.com/en-US/careers/jobs/5795340004","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Environment Art","Unreal Engine","PBR","Photogrammetry","Performance Optimization","Memory Compensation","Scalability","Asset Reusability","Composition","Lighting","Color Theory","Scale","Visual Appeal"],"x-skills-preferred":["Game Development","Game Engines","3D Content Creation","Game Art","Game Design","Game Programming","Game Testing","Game Localization"],"datePosted":"2026-03-08T22:13:57.246Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Porto Alegre, Brazil"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Environment Art, Unreal Engine, PBR, Photogrammetry, Performance Optimization, Memory Compensation, Scalability, Asset Reusability, Composition, Lighting, Color Theory, Scale, Visual Appeal, Game Development, Game Engines, 3D Content Creation, Game Art, Game Design, Game Programming, Game Testing, Game Localization"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8c398744-7bd"},"title":"Lead Environment Artist","description":"<p><strong>Lead Environment Artist</strong></p>\n<p>We&#39;re looking for an experienced Environment Art Lead to join the Rocket League team. 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We offer unlimited PTO and sick time and recognize individuals for 7 years of employment with a paid sabbatical.</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_8c398744-7bd","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Epic Games","sameAs":"https://www.epicgames.com","logo":"https://logos.yubhub.co/epicgames.com.png"},"x-apply-url":"https://www.epicgames.com/en-US/careers/jobs/5784295004","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Environment Art","Game Development","Unreal Engine","PBR","Photogrammetry","Performance Optimization","Memory Trade-offs","Scalability","Asset Reuse","Art Fundamentals","Composition","Lighting","Color Theory","Scale","Visual Appeal"],"x-skills-preferred":["Leadership","Mentorship","Collaboration","Low-ego Leadership Style","Strong Instincts for Environment Design"],"datePosted":"2026-03-08T22:13:42.244Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cary"}},"employmentType":"FULL_TIME","occupationalCategory":"Design","industry":"Technology","skills":"Environment Art, Game Development, Unreal Engine, PBR, Photogrammetry, Performance Optimization, Memory Trade-offs, Scalability, Asset Reuse, Art Fundamentals, Composition, Lighting, Color Theory, Scale, Visual Appeal, Leadership, Mentorship, Collaboration, Low-ego Leadership Style, Strong Instincts for Environment Design"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_173381a1-8d0"},"title":"Software Engineer, Sandboxing (Systems)","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>We are seeking a Linux OS and System Programming Subject Matter Expert to join our Infrastructure team. In this role, you&#39;ll work on accelerating and optimising our virtualisation and VM workloads that power our AI infrastructure. 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Applications will be reviewed on a rolling basis.</p>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong></p>\n<p>We require at least a Bachelor&#39;s degree in a related field or equivalent experience.</p>\n<p><strong>Location-based hybrid policy:</strong></p>\n<p>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></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 the authenticity of an email or a request, please reach out to us directly.</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_173381a1-8d0","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/5025591008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$300,000 - $405,000 USD","x-skills-required":["Linux kernel development","System programming","Low-level software engineering","Virtualisation technologies","Kernel optimisation","C/C++ programming","Rust programming","Linux resource management","Scheduling","Memory management"],"x-skills-preferred":["GPU virtualisation","Cloud infrastructure","Container technologies","eBPF programming","OS-level security hardening","Custom scheduling algorithms","Performance optimisation","Network stack optimisation","TPUs","Custom ASICs"],"datePosted":"2026-03-08T14:03:08.579Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Linux kernel development, System programming, Low-level software engineering, Virtualisation technologies, Kernel optimisation, C/C++ programming, Rust programming, Linux resource management, Scheduling, Memory management, GPU virtualisation, Cloud infrastructure, Container technologies, eBPF programming, OS-level security hardening, Custom scheduling algorithms, Performance optimisation, Network stack optimisation, TPUs, Custom ASICs","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_11a60d5a-f54"},"title":"Performance Engineer, GPU","description":"<p><strong>About the role:</strong></p>\n<p>Pioneering the next generation of AI requires breakthrough innovations in GPU performance and systems engineering. As a GPU Performance Engineer, you&#39;ll architect and implement the foundational systems that power Claude and push the frontiers of what&#39;s possible with large language models. You&#39;ll be responsible for maximizing GPU utilization and performance at unprecedented scale, developing cutting-edge optimizations that directly enable new model capabilities and dramatically improve inference efficiency.</p>\n<p>Working at the intersection of hardware and software, you&#39;ll implement state-of-the-art techniques from custom kernel development to distributed system architectures. Your work will span the entire stack—from low-level tensor core optimizations to orchestrating thousands of GPUs in perfect synchronization.</p>\n<p>Strong candidates will have a track record of delivering transformative GPU performance improvements in production ML systems and will be excited to shape the future of AI infrastructure alongside world-class researchers and engineers.</p>\n<p><strong>You might be a good fit if you:</strong></p>\n<ul>\n<li>Have deep experience with GPU programming and optimization at scale</li>\n<li>Are impact-driven, passionate about delivering measurable performance breakthroughs</li>\n<li>Can navigate complex systems from hardware interfaces to high-level ML frameworks</li>\n<li>Enjoy collaborative problem-solving and pair programming</li>\n<li>Want to work on state-of-the-art language models with real-world impact</li>\n<li>Care about the societal impacts of your work</li>\n<li>Thrive in ambiguous environments where you define the path forward</li>\n</ul>\n<p><strong>Strong candidates may also have experience with:</strong></p>\n<ul>\n<li>GPU Kernel Development: CUDA, Triton, CUTLASS, Flash Attention, tensor core optimization</li>\n<li>ML Compilers &amp; Frameworks: PyTorch/JAX internals, torch.compile, XLA, custom operators</li>\n<li>Performance Engineering: Kernel fusion, memory bandwidth optimization, profiling with Nsight</li>\n<li>Distributed Systems: NCCL, NVLink, collective communication, model parallelism</li>\n<li>Low-Precision: INT8/FP8 quantization, mixed-precision techniques</li>\n<li>Production Systems: Large-scale training infrastructure, fault tolerance, cluster orchestration</li>\n</ul>\n<p><strong>Representative projects:</strong></p>\n<ul>\n<li>Co-design attention mechanisms and algorithms for next-generation hardware architectures</li>\n<li>Develop custom kernels for emerging quantization formats and mixed-precision techniques</li>\n<li>Design distributed communication strategies for multi-node GPU clusters</li>\n<li>Optimize end-to-end training and inference pipelines for frontier language models</li>\n<li>Build performance modeling frameworks to predict and optimize GPU utilization</li>\n<li>Implement kernel fusion strategies to minimize memory bandwidth bottlenecks</li>\n<li>Create resilient systems for planet-scale distributed training infrastructure</li>\n<li>Profile and eliminate performance bottlenecks in production serving infrastructure</li>\n<li>Partner with hardware vendors to influence future accelerator capabilities and software stacks</li>\n</ul>\n<p><strong>Deadline to apply:</strong> None. 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The Safeguards Data Infrastructure team owns the offline data stack that underpins our safeguards work: the storage layer for sensitive user data, the tooling built on top of it, and the interfaces that let the rest of the Safeguards organisation access that data safely and ergonomically.</p>\n<p>As Engineering Manager of this team, you&#39;ll be responsible for ensuring full portability of our safeguards data stack across an expanding set of deployment environments, building privacy-preserving data interfaces that enable ML and training workflows, and driving compliance with data regulations including HIPAA. This is a role at the intersection of infrastructure engineering, data privacy, and enterprise product requirements — and it sits at a critical juncture as Anthropic scales into new cloud environments and geographies</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Lead and grow a team of engineers delivering the data infrastructure and tooling that powers Anthropic&#39;s safeguards capabilities</li>\n<li>Own the strategy and execution for porting the safeguards offline data stack — including PII storage and tooling — across new cloud and deployment environments as Anthropic expands</li>\n<li>Build and maintain privacy-safe data APIs and interfaces that enable ML and training workflows while respecting data retention and access constraints</li>\n<li>Drive tooling and architecture decisions that maximise data retention within the bounds of our privacy and compliance requirements</li>\n<li>Manage privacy incident response processes and partner with compliance teams on regulatory requirements (e.g. HIPAA, EU privacy regulations)</li>\n<li>Collaborate closely with enterprise customers and product teams on zero data retention offerings, working balancing safety needs with robust enterprise data contracts</li>\n<li>Independently own and drive multiple workstreams, including planning, execution, and cross-team coordination</li>\n<li>Coach, mentor, and support the career development of your direct reports, helping them set and achieve their professional goals</li>\n<li>Partner with recruiting to attract, hire, and retain strong engineering talent</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have 4+ years of front-line engineering management experience</li>\n<li>Have a track record of leading teams that build and operate data infrastructure at scale</li>\n<li>Have hands-on software engineering experience as an individual contributor prior to moving into management</li>\n<li>Have a strong understanding of data privacy principles, PII handling, and compliance frameworks</li>\n<li>Are comfortable driving technical decisions in an ambiguous, fast-moving environment with competing priorities</li>\n<li>Have experience working cross-functionally across infrastructure, product, and compliance or security teams</li>\n<li>Are clear and persuasive communicators, both in writing and in person</li>\n</ul>\n<p><strong>Strong candidates may also:</strong></p>\n<ul>\n<li>Have experience with multi-cloud or multi-region data portability, particularly in regulated environments</li>\n<li>Have built privacy-preserving data pipelines or interfaces for ML workloads</li>\n<li>Have experience with enterprise data contracts or zero data retention architectures</li>\n<li>Have explored novel approaches to data processing under strict access constraints, such as in-memory storage and compute for sensitive data</li>\n<li>Have a passion for building diverse and inclusive teams</li>\n</ul>\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><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> 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><strong>Your safety matters to us.</strong> 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</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_5ef0c826-856","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/5103078008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$405,000 - $485,000USD\n£325,000 - £390,000GBP","x-skills-required":["data infrastructure","data privacy","compliance frameworks","software engineering","team management","cross-functional collaboration","communication","data portability","multi-cloud","multi-region","regulated environments","privacy-preserving data pipelines","ML workloads","enterprise data contracts","zero data retention architectures"],"x-skills-preferred":["in-memory storage","compute for sensitive data","novel approaches to data processing","diverse and inclusive teams"],"datePosted":"2026-03-08T13:42:50.694Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK; New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data infrastructure, data privacy, compliance frameworks, software engineering, team management, cross-functional collaboration, communication, data portability, multi-cloud, multi-region, regulated environments, privacy-preserving data pipelines, ML workloads, enterprise data contracts, zero data retention architectures, in-memory storage, compute for sensitive data, novel approaches to data processing, diverse and inclusive teams","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":325000,"maxValue":485000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_61448503-aa0"},"title":"Design Verification Engineer","description":"<p><strong>Job Posting</strong></p>\n<p><strong>Design Verification Engineer</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>Scaling</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$226K – $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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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’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> OpenAI is developing custom silicon to power the next generation of frontier AI models. We’re looking for experienced Design Verification (DV) Engineers to ensure functional correctness and robust design for our cutting-edge ML accelerators. You will play a key role in verifying complex hardware systems—ranging from individual IP blocks to subsystems and full SoC—working closely with architecture, RTL, software, and systems teams to deliver reliable silicon at scale.</p>\n<p><strong>In this role you will:</strong></p>\n<ul>\n<li>Own the verification of one or more of: custom IP blocks, subsystems (compute, interconnect, memory, etc.), or full-chip SoC-level functionality.</li>\n</ul>\n<ul>\n<li>Define verification plans based on architecture and microarchitecture specs.</li>\n</ul>\n<ul>\n<li>Develop constrained-random, directed, and system-level testbenches using SystemVerilog/UVM or equivalent methodologies.</li>\n</ul>\n<ul>\n<li>Build and maintain stimulus generators, checkers, monitors, and scoreboards to ensure high coverage and correctness.</li>\n</ul>\n<ul>\n<li>Drive bug triage, root cause analysis, and work closely with design teams on resolution.</li>\n</ul>\n<ul>\n<li>Contribute to regression infrastructure, coverage analysis, and closure for both block- and top-level environments.</li>\n</ul>\n<p><strong>You might thrive in this role if you have:</strong></p>\n<ul>\n<li>BS/MS in EE/CE/CS or equivalent with 3+ years of experience in hardware verification.</li>\n</ul>\n<ul>\n<li>Proven success verifying complex IP or SoC designs in industry-standard flows</li>\n</ul>\n<ul>\n<li>Proficient in SystemVerilog, UVM, and common simulation and debug tools (e.g., VCS, Questa, Verdi).</li>\n</ul>\n<ul>\n<li>Strong knowledge of computer architecture concepts, memory and cache systems, coherency, interconnects, and/or ML compute primitives.</li>\n</ul>\n<ul>\n<li>Familiarity with performance modeling, formal verification, or emulation is a plus.</li>\n</ul>\n<ul>\n<li>Experience working in fast-paced, cross-disciplinary teams with a passion for building reliable hardware.</li>\n</ul>\n<p>_To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations._</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_61448503-aa0","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/3a415c1d-4f66-4578-8eb3-8b15ef0ab52b","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$226K – $445K • Offers Equity","x-skills-required":["SystemVerilog","UVM","VCS","Questa","Verdi","BS/MS in EE/CE/CS or equivalent","3+ years of experience in hardware verification","Proven success verifying complex IP or SoC designs in industry-standard flows"],"x-skills-preferred":["Computer architecture concepts","Memory and cache systems","Coherency","Interconnects","ML compute primitives","Performance modeling","Formal verification","Emulation"],"datePosted":"2026-03-06T18:41:15.010Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SystemVerilog, UVM, VCS, Questa, Verdi, BS/MS in EE/CE/CS or equivalent, 3+ years of experience in hardware verification, Proven success verifying complex IP or SoC designs in industry-standard flows, Computer architecture concepts, Memory and cache systems, Coherency, Interconnects, ML compute primitives, Performance modeling, Formal verification, Emulation","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":226000,"maxValue":445000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8f296e48-0fd"},"title":"Training: Process Management Engineer","description":"<p><strong>Location</strong></p>\n<p>London, UK</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><strong>About the Team</strong></strong></p>\n<p>Training Runtime designs the core distributed runtime that powers everything from early research experiments to frontier-scale model runs. We work on building robust, scalable, high performance components to support our distributed training workloads. Our priorities are to maximize the productivity of our researchers and our hardware, with the goal of accelerating progress towards AGI.</p>\n<p>Within Training Runtime, the <strong>Process Management</strong> team develops the distributed OS responsible for launching, coordinating, and supervising the large numbers of processes that make up modern training workloads. Our runtime sits beneath training frameworks and on top of research infrastructure, ensuring jobs run reliably across massive clusters while maintaining performance, stability, and observability.</p>\n<p>Success for us is measured by both system reliability and researcher velocity - enabling ideas to scale from experiments to production training runs.</p>\n<p><strong><strong>About the Role</strong></strong></p>\n<p>As a <strong>Training Runtime: Process Management Engineer</strong>, you will work on the software that ties thousands of computers together and exposes them as a unified system.</p>\n<p>This system has to serve individual researchers running multiple parallel experiments, as well as our largest training runs spanning 100’s of thousands and even millions of machines and accelerators. This requires easy to use, introspectable systems that can promote a fast debugging and development cycle, as well as relentless optimization for scale while maintaining stability and performance throughout.</p>\n<p>You will work primarily in <strong>Rust</strong>, building high-performance asynchronous systems with a strong emphasis on performance, correctness, and scalability.</p>\n<p>Working at this scale and at the frontier of AI development poses novel challenges. Out-of-the-box approaches often don’t work. The problems you will be working on are highly ambiguous and require strong design judgment as well as proficient execution to advance the state of our infrastructure.</p>\n<p>We’re looking for people who love optimizing an end-to-end platform, understanding high-performance architectures to maximize both local and distributed performance across our supercomputers. We’re looking for engineers excited by the rapid pace of responding to the dynamic and evolving needs of our training runtime and compute stack.</p>\n<p>This role is based in London, UK. 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><strong>In this role, you will:</strong></strong></p>\n<ul>\n<li>Work across our Python and Rust stack</li>\n<li>Design, build, and maintain software to orchestrate and monitor machine learning workloads on our largest supercomputers</li>\n<li>Profile and optimize our software stack to support computation orchestration at frontier scale</li>\n<li>Improve reliability, observability, and fault tolerance for long-running jobs</li>\n<li>Debug complex distributed systems issues across large clusters</li>\n<li>Respond to the changing shapes and needs of the ML systems to enable our researchers</li>\n</ul>\n<p><strong><strong>You might thrive in this role if you:</strong></strong></p>\n<ul>\n<li>Have experience developing distributed systems (not just operating them)</li>\n<li>Enjoy understanding how large systems behave and fail at scale</li>\n<li>Care deeply about performance, correctness, and reliability</li>\n<li>Have strong software engineering skills and are proficient in Python and Rust or another systems programming language (e.g. C++)</li>\n<li>Have solid Linux knowledge, and are comfortable with systems-level debugging, performance analysis, and memory profiling</li>\n<li>Are comfortable and experienced working and developing asynchronous and concurrent systems</li>\n<li>Like high-ownership environments with light process and strong engineering agency</li>\n</ul>\n<p><strong><strong>About OpenAI</strong></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. 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architecture","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":226000,"maxValue":378000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_989f992b-6b2"},"title":"Software Engineer, Inference – AMD GPU Enablement","description":"<p><strong>Software Engineer, Inference – AMD GPU Enablement</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>Scaling</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$295K – $555K • 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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We empower consumers, enterprises and developers alike to use and access our state-of-the-art AI models, allowing them to do things that they’ve never been able to before. We focus on performant and efficient model inference, as well as accelerating research progression via model inference.</p>\n<p><strong>About the Role</strong></p>\n<p>We’re hiring engineers to scale and optimize OpenAI’s inference infrastructure across emerging GPU platforms. You’ll work across the stack - from low-level kernel performance to high-level distributed execution - and collaborate closely with research, infra, and performance teams to ensure our largest models run smoothly on new hardware.</p>\n<p>This is a high-impact opportunity to shape OpenAI’s multi-platform inference capabilities from the ground up with a particular focus on advancing inference performance on AMD accelerators.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Own bring-up, correctness and performance of the OpenAI inference stack on AMD hardware.</li>\n</ul>\n<ul>\n<li>Integrate internal model-serving infrastructure (e.g., vLLM, Triton) into a variety of GPU-backed systems.</li>\n</ul>\n<ul>\n<li>Debug and optimize distributed inference workloads across memory, network, and compute layers.</li>\n</ul>\n<ul>\n<li>Validate correctness, performance, and scalability of model execution on large GPU clusters.</li>\n</ul>\n<ul>\n<li>Collaborate with partner teams to design and optimize high-performance GPU kernels for accelerators using HIP, Triton, or other performance-focused frameworks.</li>\n</ul>\n<ul>\n<li>Collaborate with partner teams to build, integrate and tune collective communication libraries (e.g., RCCL) used to parallelize model execution across many GPUs.</li>\n</ul>\n<p><strong>You can thrive in this role if you:</strong></p>\n<ul>\n<li>Have experience writing or porting GPU kernels using HIP, CUDA, or Triton, and care deeply about low-level performance.</li>\n</ul>\n<ul>\n<li>Are familiar with communication libraries like NCCL/RCCL and understand their role in high-throughput model serving.</li>\n</ul>\n<ul>\n<li>Have worked on distributed inference systems and are comfortable scaling models across fleets of accelerators.</li>\n</ul>\n<ul>\n<li>Enjoy solving end-to-end performance challenges across hardware, system libraries, and orchestration layers.</li>\n</ul>\n<ul>\n<li>Are excited to be part of a small, fast-moving team building new infrastructure from first principles.</li>\n</ul>\n<p><strong>Nice to Have:</strong></p>\n<ul>\n<li>Contributions to open-source libraries like RCCL, Triton, or vLLM.</li>\n</ul>\n<ul>\n<li>Experience with GPU performance tools (Nsight, rocprof, perf) and memory/comms profiling.</li>\n</ul>\n<ul>\n<li>Prior experience deploying inference on other non-NVIDIA GPU environments.</li>\n</ul>\n<ul>\n<li>Knowledge of model/tensor parallelism, mixed precision, and serving 10B+ parameter models.</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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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<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>More details about our benefits are available to candidates during the hiring process.</p>\n<p>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>\n<p>Location: San Francisco, CA (Hybrid: 4 days onsite/week). 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Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.</p>\n<p>A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.</p>\n<p>Our engine’s resource management and streaming systems are critical to delivering a smooth, stable, and responsive experience for Roblox users across a huge range of devices and network conditions. These systems work together to intelligently allocate compute, memory, bandwidth, and rendering quality while dynamically delivering world content in real time as players move, explore, and interact. The challenges span highly dynamic environments, unpredictable user behavior, and opaque signals from device and OS constraints.</p>\n<p>This role offers a rare opportunity to pioneer the application of machine learning in real-time engine optimization. You will establish the ML framework for predictive resource allocation and content fetching, replacing heuristic-based logic with adaptive, data-driven decision-making. Your work will directly shape stability, visual quality, responsiveness, and content delivery across billions of global play sessions.</p>\n<p><strong>You Will</strong></p>\n<ul>\n<li>Analyze massive-scale engine performance, streaming patterns, and user behavior telemetry to uncover optimization opportunities and guide the long-term ML roadmap.</li>\n<li>Design ML models that infer player and interaction patterns for predictive resource management and content delivery.</li>\n<li>Build adaptive control systems that translate ML outputs into real-time adjustments of fidelity and system decisions, ensuring high-quality experiences without compromising stability or latency.</li>\n<li>Collaborate with core engine and performance engineering teams to integrate ML solutions directly into the critical path of gameplay across multiple platforms.</li>\n<li>Define the architectural strategy for deploying and scaling ML across resource management and streaming components at massive global scale.</li>\n</ul>\n<p><strong>You Have</strong></p>\n<ul>\n<li>Strong expertise in applied ML—such as reinforcement learning for control, predictive modeling (especially time-series and intent inference), trajectory prediction, or real-time optimization.</li>\n<li>Proficiency in C++, Python, Go, Java, or similar languages, with experience deploying ML models in performance-critical systems.</li>\n<li>A solid understanding of systems-level concepts (memory management, threading, OS signals) or a deep interest in learning them.</li>\n<li>A track record of solving complex optimization problems or integrating ML into real-time systems, ideally in gaming, simulation, robotics, or mobile environments</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p>As a full-time employee at Roblox, you will be eligible for equity compensation and benefits as described on <strong>this page</strong>.</p>\n<p><strong>Salary</strong></p>\n<p>The starting base pay for this position is as shown below. 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