{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/performance-modeling"},"x-facet":{"type":"skill","slug":"performance-modeling","display":"Performance Modeling","count":14},"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_cb0e4862-bd7"},"title":"Optical Systems Engineer","description":"<p>Anduril Industries is a defence technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century&#39;s most innovative companies to the defence industry, Anduril is changing how military systems are designed, built and sold.</p>\n<p>The Anduril Imaging team develops state-of-the-art imaging systems across both hardware and software, deployed to tackle the most significant security challenges of America and its allies.</p>\n<p>Anduril Imaging&#39;s System Engineering team is seeking a Systems Engineer to join our team. The System Engineering team is responsible for system architecture definition, trade analyses, and modeling/validating system performance for land, sea, air, and space EO/IR applications.</p>\n<p>In this role, you will be responsible for defining active EO/IR system architectures. You will perform radiometric performance modeling as well as laboratory, ground, and flight testing. To predict real-world performance, you will also model atmospheric and environmental effects for land, sea, and air targets.</p>\n<p>You will leverage your analyses to inform system-level architectural trades. As needed, you will also lead small teams of engineers from concept ideation through system definition and development.</p>\n<p>You should have a track record of successfully working on fast-paced, highly technical, interdisciplinary teams. Proficiency in analytical toolchains or languages (e.g., MATLAB, Python) is required. Experience with industry standard EO/IR modeling software packages (e.g. MODTRAN, SPIRITS, AFSIM) is a plus.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Define system architectures via detailed trade studies and analyses.</li>\n</ul>\n<ul>\n<li>Adapt or derive physics-based models of sensor system performance and derive requirements based on those models.</li>\n</ul>\n<ul>\n<li>Take ownership over the development of prototype sensor systems in a lab environment.</li>\n</ul>\n<ul>\n<li>Support both laboratory-based and field-based experiments and demonstrations.</li>\n</ul>\n<ul>\n<li>Engage technically with the hardware, software, and mission teams to define, integrate, and deliver high performance systems to our customers.</li>\n</ul>\n<ul>\n<li>Validate models against laboratory and real-world data.</li>\n</ul>\n<ul>\n<li>Coordinate and communicate with both external &amp; internal stakeholders with varying degrees of technical background.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Model development and validation in one or more domains relevant to remote sensing.</li>\n</ul>\n<ul>\n<li>Ability to decompose complex systems into functional parts, with clearly defined interfaces and requirements for each.</li>\n</ul>\n<ul>\n<li>Experience in system design and development from initial concept through test and delivery to customer.</li>\n</ul>\n<ul>\n<li>Strong laboratory skills (rapid prototyping, design of experiments) and familiarity with opto-electrical test and measurement equipment.</li>\n</ul>\n<ul>\n<li>Willingness to travel to test sites, as needed.</li>\n</ul>\n<ul>\n<li>Must be able to obtain and hold a U.S. security clearance.</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Knowledge of current and next-generation advanced sensing systems and platforms.</li>\n</ul>\n<ul>\n<li>Active and passive sensing domain experience (e.g., LiDAR, EO/IR, Radar).</li>\n</ul>\n<ul>\n<li>Experience with laser systems, including opto-mechanical scanning and beam steering techniques.</li>\n</ul>\n<ul>\n<li>Knowledge of electro-mechanical control systems, including their performance requirements and verification methodologies.</li>\n</ul>\n<ul>\n<li>Experience with LiDAR/Radar signal processing techniques, and knowledge of their implementation on real-time embedded platforms (FPGA, MCU, etc.).</li>\n</ul>\n<ul>\n<li>Experience with signature and/or scenario modeling/software packages (MODTRAN, SPIRITS, AFSIM).</li>\n</ul>\n<p>Salary: The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations.</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_cb0e4862-bd7","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anduril Industries","sameAs":"https://www.anduril.com/","logo":"https://logos.yubhub.co/anduril.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/andurilindustries/jobs/5115664007","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$166,000-$220,000 USD","x-skills-required":["Model development and validation","System architecture definition","Trade analyses","Radiometric performance modeling","Laboratory, ground, and flight testing","Atmospheric and environmental effects modeling","System-level architectural trades","Analytical toolchains or languages (e.g., MATLAB, Python)","Industry standard EO/IR modeling software packages (e.g. MODTRAN, SPIRITS, AFSIM)"],"x-skills-preferred":["Knowledge of current and next-generation advanced sensing systems and platforms","Active and passive sensing domain experience (e.g., LiDAR, EO/IR, Radar)","Experience with laser systems, including opto-mechanical scanning and beam steering techniques","Knowledge of electro-mechanical control systems, including their performance requirements and verification methodologies","Experience with LiDAR/Radar signal processing techniques, and knowledge of their implementation on real-time embedded platforms (FPGA, MCU, etc.)","Experience with signature and/or scenario modeling/software packages (MODTRAN, SPIRITS, AFSIM)"],"datePosted":"2026-04-24T15:18:31.986Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Lexington, Massachusetts, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Model development and validation, System architecture definition, Trade analyses, Radiometric performance modeling, Laboratory, ground, and flight testing, Atmospheric and environmental effects modeling, System-level architectural trades, Analytical toolchains or languages (e.g., MATLAB, Python), Industry standard EO/IR modeling software packages (e.g. MODTRAN, SPIRITS, AFSIM), Knowledge of current and next-generation advanced sensing systems and platforms, Active and passive sensing domain experience (e.g., LiDAR, EO/IR, Radar), Experience with laser systems, including opto-mechanical scanning and beam steering techniques, Knowledge of electro-mechanical control systems, including their performance requirements and verification methodologies, Experience with LiDAR/Radar signal processing techniques, and knowledge of their implementation on real-time embedded platforms (FPGA, MCU, etc.), Experience with signature and/or scenario modeling/software packages (MODTRAN, SPIRITS, AFSIM)","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":166000,"maxValue":220000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e4a111aa-bc9"},"title":"SOC Architect","description":"<p>We are seeking an experienced SoC Architect to lead the definition and development of next-generation custom AI silicon for edge deployments. This role will be responsible for shaping the architecture of highly efficient, high-performance SoCs optimized for machine learning inference and on-device intelligence.</p>\n<p>You will work cross-functionally with internal engineering teams and external ecosystem partners to translate product requirements into scalable silicon solutions, driving execution from concept through delivery.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Defining the architecture and technical roadmap for custom SoCs targeted for edge applications.</li>\n<li>Driving system-level tradeoff analysis across compute, memory, interconnect, power, thermal, and cost constraints.</li>\n<li>Architecting energy-efficient ML compute subsystems optimized for inference workloads and real-world deployment environments.</li>\n<li>Collaborating with internal hardware, software, systems, and product teams to align architecture with platform needs.</li>\n<li>Partnering with external silicon vendors, IP providers, and manufacturing partners to execute development plans.</li>\n<li>Leading hardware/software co-design efforts to maximize performance per watt and end-to-end system efficiency.</li>\n<li>Guiding implementation teams through microarchitecture, RTL development, validation, and bring-up phases.</li>\n</ul>\n<p>To be successful in this role, you will need:</p>\n<ul>\n<li>Proven experience defining and delivering complex SoC or ASIC architectures from concept to production.</li>\n<li>Deep understanding of AI/ML accelerators, edge inference workloads, and energy-efficient compute design.</li>\n<li>Strong knowledge of SoC subsystems including CPU/GPU/NPU architectures, memory hierarchies, interconnects, and power management.</li>\n<li>Experience working with both internal engineering organizations and external strategic partners.</li>\n<li>Ability to lead cross-functional teams in fast-paced, execution-driven environments.</li>\n<li>Strong communication skills with the ability to influence technical direction across organizations.</li>\n</ul>\n<p>Preferred qualifications include experience with edge AI devices, embedded systems, or consumer hardware platforms, background in performance modeling, silicon cost optimization, and workload-driven architecture, and familiarity with advanced process nodes and modern semiconductor development flows.</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_e4a111aa-bc9","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/71508273-13e5-4b77-a675-953ff3d73ca5","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"$266K – $445K","x-skills-required":["SoC Architecture","Edge AI","Machine Learning","Energy-Efficient Compute Design","System-Level Tradeoff Analysis","Hardware/Software Co-Design"],"x-skills-preferred":["Edge AI Devices","Embedded Systems","Consumer Hardware Platforms","Performance Modeling","Silicon Cost Optimization","Workload-Driven Architecture"],"datePosted":"2026-04-24T12:23:36.684Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SoC Architecture, Edge AI, Machine Learning, Energy-Efficient Compute Design, System-Level Tradeoff Analysis, Hardware/Software Co-Design, Edge AI Devices, Embedded Systems, Consumer Hardware Platforms, Performance Modeling, Silicon Cost Optimization, Workload-Driven Architecture","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_9a0bf3cb-901"},"title":"Performance Modeling Lead","description":"<p>We are seeking a Performance Modeling Lead to build and lead a small, high-impact team responsible for answering forward-looking architectural questions across AI infrastructure systems.</p>\n<p>You will develop modeling frameworks and methodologies to evaluate system-level tradeoffs and guide key design decisions. Your work will directly influence reference architectures, vendor designs, and long-term infrastructure strategy.</p>\n<p>This role sits at the intersection of AI workloads, system architecture, and quantitative modeling, and requires strong technical judgment, ownership, and the ability to translate complex analysis into clear, actionable guidance.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Build and own a performance modeling framework/toolchain to evaluate AI systems across multiple levels of abstraction.</li>\n<li>Analyze and quantify architectural tradeoffs across compute, memory, networking, storage, and system topology.</li>\n<li>Develop performance models to guide decisions on:</li>\n<li>scale-up vs. scale-out architectures</li>\n<li>interconnect and network design</li>\n<li>memory hierarchy and system balance.</li>\n<li>Translate modeling outputs into clear recommendations for internal teams and external hardware vendors.</li>\n<li>Influence reference designs and vendor roadmaps through data-driven insights.</li>\n<li>Partner closely with machine learning, systems, and hardware teams to understand workload characteristics and requirements.</li>\n<li>Lead and grow a small team (2–3 engineers), setting technical direction and maintaining high standards for modeling rigor.</li>\n<li>Continuously improve modeling fidelity by validating against real system behavior and measurements.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Have experience owning or building performance modeling frameworks used to drive real system design decisions.</li>\n<li>Have deep knowledge of AI/ML workloads, including training and/or inference at scale.</li>\n<li>Understand system-level tradeoffs across compute, memory, and networking in large-scale distributed systems.</li>\n<li>Are comfortable working across abstraction layers,from workload behavior to hardware implementation.</li>\n<li>Have experience using modeling (analytical or simulation) to inform architectural decisions.</li>\n<li>Can operate in ambiguous problem spaces and turn open-ended questions into structured analysis.</li>\n<li>Communicate clearly and influence both internal teams and external partners.</li>\n</ul>\n<p>Preferred Skills:</p>\n<ul>\n<li>Experience working with hardware vendors (ODM/JDM, silicon, networking).</li>\n<li>Background in data center infrastructure or hyperscale systems.</li>\n<li>Familiarity with accelerators (GPUs/ASICs) and interconnects (e.g., NVLink, InfiniBand, Ethernet).</li>\n<li>Experience influencing hardware roadmaps or reference architectures.</li>\n<li>Prior experience leading or mentoring engineers.</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_9a0bf3cb-901","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/f2293c9f-d036-4198-a268-3dad738c8d19","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"$342K – $555K","x-skills-required":["performance modeling","system architecture","quantitative modeling","AI workloads","machine learning","systems engineering","hardware engineering"],"x-skills-preferred":["hardware vendors","data center infrastructure","hyperscale systems","accelerators","interconnects","hardware roadmaps","reference architectures"],"datePosted":"2026-04-24T12:21:47.132Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco; Seattle"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"performance modeling, system architecture, quantitative modeling, AI workloads, machine learning, systems engineering, hardware engineering, hardware vendors, data center infrastructure, hyperscale systems, accelerators, interconnects, hardware roadmaps, reference architectures","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_459e7356-55d"},"title":"3P Architect","description":"<p>We are seeking a 3P Architect to define and drive rack- and cluster-level reference designs in collaboration with external partners. This role is responsible for translating workload requirements and system-level goals into concrete architectures, aligning partners on critical design attributes, and ensuring vendor roadmaps meet our infrastructure needs.</p>\n<p>You will work closely with performance modeling and internal architecture teams to evaluate tradeoffs, while owning the end-to-end definition and execution of third-party system designs. This includes identifying gaps in current technologies, driving vendor development, and shaping future infrastructure capabilities.</p>\n<p>This role requires strong system intuition, cross-functional leadership, and the ability to operate effectively across internal teams and external ecosystems.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Define rack- and cluster-level reference architectures for AI infrastructure deployments.</li>\n<li>Translate workload requirements into clear system design specifications and partner deliverables.</li>\n<li>Collaborate with performance modeling teams to evaluate architectural tradeoffs and system behaviors.</li>\n<li>Align internal stakeholders and external partners on critical system attributes (performance, cost, power, reliability, scalability).</li>\n<li>Identify gaps in current technology offerings and drive vendors (ODM/JDM, silicon, networking) to close those gaps.</li>\n<li>Influence and shape vendor roadmaps to meet future infrastructure needs.</li>\n<li>Track emerging technologies and evaluate their applicability to AI systems.</li>\n<li>Define and lead proof-of-concept (PoC) efforts to validate new architectures and technologies.</li>\n<li>Act as a key interface between OpenAI and external partners, ensuring execution against design intent.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Have strong experience in system architecture for large-scale infrastructure or data center environments.</li>\n<li>Understand AI workload characteristics and how they map to system-level design decisions.</li>\n<li>Are comfortable working with performance modeling outputs to inform architectural direction.</li>\n<li>Have experience working with or managing hardware vendors (ODM/JDM, silicon, networking).</li>\n<li>Can drive alignment across multiple stakeholders with competing constraints.</li>\n<li>Have a track record of turning ambiguous requirements into clear, executable system designs.</li>\n<li>Are proactive in identifying gaps and driving solutions across organizational boundaries.</li>\n</ul>\n<p>Preferred Skills:</p>\n<ul>\n<li>Experience defining rack- or cluster-level systems for hyperscale or AI workloads.</li>\n<li>Familiarity with accelerators (GPUs/ASICs), interconnects, and data center networking architectures.</li>\n<li>Experience influencing vendor roadmaps and reference designs.</li>\n<li>Background in infrastructure deployment, hardware engineering, or systems integration.</li>\n<li>Experience leading PoCs or early-stage hardware validation efforts.</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_459e7356-55d","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/e2afdede-a222-4825-b2fc-fec439a7c893","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"$342K – $555K","x-skills-required":["system architecture","large-scale infrastructure","data center environments","AI workload characteristics","performance modeling","hardware vendors","cross-functional leadership"],"x-skills-preferred":["hyperscale or AI workloads","accelerators","interconnects","data center networking architectures","vendor roadmaps","reference designs","infrastructure deployment","hardware engineering","systems integration"],"datePosted":"2026-04-24T12:21:42.510Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco; Seattle"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"system architecture, large-scale infrastructure, data center environments, AI workload characteristics, performance modeling, hardware vendors, cross-functional leadership, hyperscale or AI workloads, accelerators, interconnects, data center networking architectures, vendor roadmaps, reference designs, infrastructure deployment, hardware engineering, systems integration","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_c7f352b8-62c"},"title":"Performance Modeling Engineer","description":"<p>We are seeking Performance Modeling Engineers to develop and apply modeling tools that evaluate AI system performance and inform architectural decisions.</p>\n<p>In this role, you will work closely with the Performance Modeling Lead and partner teams to analyze system behavior, run simulations or analytical models, and help quantify tradeoffs across compute, memory, networking, and storage. You will contribute to building modeling frameworks and applying them to real-world questions that impact system design and vendor decisions.</p>\n<p>This role is well-suited for engineers with strong software or modeling backgrounds who are interested in developing deeper expertise in system architecture and AI infrastructure.</p>\n<p><strong>Key Responsibilities</strong></p>\n<ul>\n<li>Develop and maintain performance modeling tools and frameworks.</li>\n</ul>\n<ul>\n<li>Build models to evaluate system behavior across:</li>\n<li>compute, memory, and interconnect subsystems</li>\n<li>distributed system scaling and bottlenecks.</li>\n</ul>\n<ul>\n<li>Run simulations and analytical models to support architectural tradeoff analysis.</li>\n</ul>\n<ul>\n<li>Collaborate with performance modeling lead and system architects to answer forward-looking design questions.</li>\n</ul>\n<ul>\n<li>Analyze and interpret modeling outputs, translating results into actionable insights.</li>\n</ul>\n<ul>\n<li>Validate models against real system measurements and workload behavior.</li>\n</ul>\n<ul>\n<li>Contribute to improving modeling fidelity, usability, and scalability.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Strong software engineering or modeling background (e.g., simulation, systems modeling, or performance analysis).</li>\n</ul>\n<ul>\n<li>Familiarity with system architecture fundamentals (compute, memory, networking).</li>\n</ul>\n<ul>\n<li>Experience with programming and building technical tools or frameworks.</li>\n</ul>\n<ul>\n<li>Ability to reason about performance bottlenecks and scaling behavior.</li>\n</ul>\n<ul>\n<li>Strong analytical skills and comfort working with quantitative models.</li>\n</ul>\n<ul>\n<li>Ability to collaborate across teams and learn new system domains quickly.</li>\n</ul>\n<p><strong>Preferred Skills</strong></p>\n<ul>\n<li>Exposure to AI/ML workloads or distributed systems.</li>\n</ul>\n<ul>\n<li>Experience with simulation tools, performance modeling, or systems analysis.</li>\n</ul>\n<ul>\n<li>Familiarity with data center infrastructure or large-scale systems.</li>\n</ul>\n<ul>\n<li>Experience working with performance data, benchmarking, or profiling tools.</li>\n</ul>\n<ul>\n<li>Interest in system architecture and hardware/software co-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_c7f352b8-62c","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/19fc3e36-3bf3-4a7c-b65f-498d89220436","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"Full time","x-salary-range":"$266K – $445K","x-skills-required":["performance modeling","system architecture","AI infrastructure","software engineering","modeling","simulation","systems modeling","performance analysis","programming","technical tools","frameworks"],"x-skills-preferred":["AI/ML workloads","distributed systems","simulation tools","systems analysis","data center infrastructure","large-scale systems","performance data","benchmarking","profiling tools","hardware/software co-design"],"datePosted":"2026-04-24T12:20:57.925Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco; Seattle"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"performance modeling, system architecture, AI infrastructure, software engineering, modeling, simulation, systems modeling, performance analysis, programming, technical tools, frameworks, AI/ML workloads, distributed systems, simulation tools, systems analysis, data center infrastructure, large-scale systems, performance data, benchmarking, profiling tools, hardware/software co-design","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_002c5e0f-f56"},"title":"Member of Technical Staff, Software Co-Design AI HPC Systems","description":"<p>Our team&#39;s mission is to architect, co-design, and productionize next-generation AI systems at datacenter scale. We operate at the intersection of models, systems software, networking, storage, and AI hardware, optimizing end-to-end performance, efficiency, reliability, and cost.</p>\n<p>We pursue this mission through deep hardware–software co-design, combining rigorous systems thinking with hands-on engineering. The team invests heavily in understanding real production workloads large-scale training, inference, and emerging multimodal models and translating those insights into concrete improvements across the stack: from kernels, runtimes, and distributed systems, all the way down to silicon-level trade-offs and datacenter-scale architectures.</p>\n<p>This role sits at the boundary between exploration and production. You will work closely with internal infrastructure, hardware, compiler, and product teams, as well as external partners across the hardware and systems ecosystem. Our operating model emphasizes rapid ideation and prototyping, followed by disciplined execution to drive high-leverage ideas into production systems that operate at massive scale.</p>\n<p>In addition to delivering real-world impact on large-scale AI platforms, the team actively contributes to the broader research and engineering community. Our work aligns closely with leading communities in ML systems, distributed systems, computer architecture, and high-performance computing, and we regularly publish, prototype, and open-source impactful technologies where appropriate.</p>\n<p>About the Team</p>\n<p>We build foundational AI infrastructure that enables large-scale training and inference across diverse workloads and rapidly evolving hardware generations. Our work directly shapes how AI systems are designed, deployed, and scaled today and into the future. Engineers on this team operate with end-to-end ownership, deep technical rigor, and a strong bias toward real-world impact.</p>\n<p>Microsoft Superintelligence Team</p>\n<p>Microsoft Superintelligence team’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p>\n<p>This role is part of Microsoft AI’s Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence,ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society,advancing science, education, and global well-being.</p>\n<p>We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in,come and join us as we work on our next generation of models!</p>\n<p>Responsibilities</p>\n<p>Lead the co-design of AI systems across hardware and software boundaries, spanning accelerators, interconnects, memory systems, storage, runtimes, and distributed training/inference frameworks.</p>\n<p>Drive architectural decisions by analyzing real workloads, identifying bottlenecks across compute, communication, and data movement, and translating findings into actionable system and hardware requirements.</p>\n<p>Co-design and optimize parallelism strategies, execution models, and distributed algorithms to improve scalability, utilization, reliability, and cost efficiency of large-scale AI systems.</p>\n<p>Develop and evaluate what-if performance models to project system behavior under future workloads, model architectures, and hardware generations, providing early guidance to hardware and platform roadmaps.</p>\n<p>Partner with compiler, kernel, and runtime teams to unlock the full performance of current and next-generation accelerators, including custom kernels, scheduling strategies, and memory optimizations.</p>\n<p>Influence and guide AI hardware design at system and silicon levels, including accelerator microarchitecture, interconnect topology, memory hierarchy, and system integration trade-offs.</p>\n<p>Lead cross-functional efforts to prototype, validate, and productionize high-impact co-design ideas, working across infrastructure, hardware, and product teams.</p>\n<p>Mentor senior engineers and researchers, set technical direction, and raise the overall bar for systems rigor, performance engineering, and co-design thinking across the organization.</p>\n<p>Qualifications</p>\n<p>Minimum Qualifications</p>\n<p>Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent practical experience.</p>\n<p>10+ years of experience (or equivalent depth) working across systems software, hardware architecture, or AI infrastructure , with demonstrated impact at scale.</p>\n<p>Strong background in one or more of the following areas: AI accelerator or GPU architectures Distributed systems and large-scale AI training/inference High-performance computing (HPC) and collective communications ML systems, runtimes, or compilers Performance modeling, benchmarking, and systems analysis Hardware–software co-design for AI workloads Proficiency in systems-level programming (e.g., C/C++, CUDA, Python) and performance-critical software development.</p>\n<p>Proven ability to work across organizational boundaries and influence technical decisions involving multiple stakeholders.</p>\n<p>Preferred Qualifications</p>\n<p>Experience designing or operating large-scale AI clusters for training or inference.</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_002c5e0f-f56","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/member-of-technical-staff-software-co-design-ai-hpc-systems-mai-superintelligence-team-5/","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["AI accelerator or GPU architectures","Distributed systems and large-scale AI training/inference","High-performance computing (HPC) and collective communications","ML systems, runtimes, or compilers","Performance modeling, benchmarking, and systems analysis","Hardware–software co-design for AI workloads","Proficiency in systems-level programming (e.g., C/C++, CUDA, Python)"],"x-skills-preferred":[],"datePosted":"2026-04-24T12:12:53.724Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Zürich"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI accelerator or GPU architectures, Distributed systems and large-scale AI training/inference, High-performance computing (HPC) and collective communications, ML systems, runtimes, or compilers, Performance modeling, benchmarking, and systems analysis, Hardware–software co-design for AI workloads, Proficiency in systems-level programming (e.g., C/C++, CUDA, Python)"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_46bdfe2d-ffb"},"title":"Senior Aerodynamics Engineer, Air Vehicles","description":"<p><strong>ABOUT THE ROLE</strong></p>\n<p>The Air Dominance and Strike Aerodynamics Engineering Team is responsible for the advanced aerodynamic design and analysis for Group 5 air vehicles and missile platforms. As a Senior Aerodynamics Engineer, you will own the full development lifecycle, from conceptual design to flight test planning, execution, and analysis, ensuring high-performance, resilient, and scalable systems that meet the demands of complex, contested environments.</p>\n<p><strong>RESPONSIBILITIES</strong></p>\n<ul>\n<li>Aerodynamic design of unmanned air vehicles/missiles at conceptual, preliminary, and detail design maturities</li>\n<li>Aerodynamic analysis of unmanned air vehicles, using both low and high order methods, including analysis tool development and improvement as needed</li>\n<li>Stability and control analysis</li>\n<li>Aircraft performance modeling and simulation</li>\n<li>Aerodynamic loads generation</li>\n<li>Wind tunnel test planning, execution, and analysis</li>\n<li>Flight test planning, execution, and analysis</li>\n</ul>\n<p><strong>REQUIRED QUALIFICATIONS</strong></p>\n<ul>\n<li>BS or higher degree in Aerospace Engineering</li>\n<li>8+ work experience as an individual contributing engineer</li>\n<li>Experience with aircraft performance and analysis predictions</li>\n<li>Competent in a variety of aerodynamic analysis techniques including hand calculations, vortex, lattice methods, panel methods, and computational fluid dynamics (CFD)</li>\n<li>Wind tunnel and flight test experience including data acquisition, data analysis, and project coordination</li>\n<li>Strong programming skills in higher-level languages (e.g., MATLAB, Python) for internal tool development in a version-controlled environment</li>\n<li>Experience preparing formal documentation (i.e., specifications, test procedures, technical reports, etc.)</li>\n<li>Passion for defending the United States and her allies</li>\n<li>Eligible to obtain and maintain an active U.S. Secret security clearance</li>\n</ul>\n<p><strong>PREFERRED QUALIFICATIONS</strong></p>\n<ul>\n<li>StarCCM+ experience</li>\n<li>Ice accretion or icing analysis experience</li>\n<li>Missile DATCOM, OTIS, or DYMOS</li>\n<li>Experience with transonic and supersonic flow regimes</li>\n<li>Active U.S. Secret security clearance</li>\n</ul>\n<p><strong>BENEFITS</strong></p>\n<p>Anduril offers top-tier benefits for full-time employees, including:</p>\n<ul>\n<li>Healthcare Benefits</li>\n<li>Income Protection</li>\n<li>Generous time off</li>\n<li>Family Planning &amp; Parenting Support</li>\n<li>Mental Health Resources</li>\n<li>Professional Development</li>\n<li>Commuter Benefits</li>\n<li>Relocation Assistance</li>\n<li>Retirement Savings Plan</li>\n</ul>\n<p><strong>PROTECTING YOURSELF FROM RECRUITMENT SCAMS</strong></p>\n<p>Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We&#39;ve observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.</p>\n<p>To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:</p>\n<ul>\n<li>No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.</li>\n<li>Please always verify communications:</li>\n<li>Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.</li>\n<li>Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency&#39;s authenticity by reaching out to contact@anduril.com.</li>\n<li>Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender&#39;s email domain is @anduril.com before providing any personal information or clicking on links.</li>\n<li>What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.</li>\n</ul>\n<p><strong>DATA PRIVACY</strong></p>\n<p>Anduril is committed to protecting the privacy of our candidates and employees. We collect and use personal data in accordance with applicable laws and regulations. For more information, please refer to our Privacy Policy.</p>\n<p>We are an equal opportunities employer and welcome applications from diverse candidates. We are committed to creating an inclusive workplace where everyone feels valued, respected, and supported.</p>\n<p>If you have any questions or concerns about this role or our application process, please don&#39;t hesitate to reach out to us at contact@anduril.com.</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_46bdfe2d-ffb","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/4629832007","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$166,000-$220,000 USD","x-skills-required":["Aerodynamic design","Aerodynamic analysis","Stability and control analysis","Aircraft performance modeling and simulation","Aerodynamic loads generation","Wind tunnel test planning and execution","Flight test planning and execution","Computational fluid dynamics (CFD)","MATLAB","Python","Version-controlled environment","Formal documentation preparation"],"x-skills-preferred":["StarCCM+","Ice accretion or icing analysis","Missile DATCOM, OTIS, or DYMOS","Transonic and supersonic flow regimes"],"datePosted":"2026-04-18T15:53:24.434Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Costa Mesa, California, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Aerodynamic design, Aerodynamic analysis, Stability and control analysis, Aircraft performance modeling and simulation, Aerodynamic loads generation, Wind tunnel test planning and execution, Flight test planning and execution, Computational fluid dynamics (CFD), MATLAB, Python, Version-controlled environment, Formal documentation preparation, StarCCM+, Ice accretion or icing analysis, Missile DATCOM, OTIS, or DYMOS, Transonic and supersonic flow regimes","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":166000,"maxValue":220000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_63572733-fec"},"title":"Staff Engineer, Aircraft Configuration Design","description":"<p>Shield AI is seeking an Aircraft Configuration Design Engineer to support the development of next-generation autonomous UAVs. In this role, you will assist in the design, optimization, and integration of aircraft configurations, ensuring that vehicle aerodynamics, structures, propulsion, and mission systems are harmonized for performance, manufacturability, and operational effectiveness.</p>\n<p>This position is ideal for a mechanical or aerospace engineer with a passion for cutting-edge aircraft design, multi-disciplinary systems integration, and iterative prototyping in a fast-paced defense technology environment.</p>\n<p>Responsibilities:</p>\n<p>Assist in the conceptual and preliminary design of Shield AI&#39;s UAV platforms, ensuring optimal aerodynamic and structural configurations.\nSupport aircraft sizing, weight estimation, and trade studies to evaluate different airframe configurations.\nWork with multi-disciplinary engineering teams (mechanical, electrical, propulsion, avionics) to ensure seamless system integration.\nDevelop and refine 3D CAD models of aircraft structures, subsystems, and flight-critical components.\nPerform basic aerodynamic and structural analysis using computational tools to assess feasibility and performance impacts.\nParticipate in design reviews, system trade studies, and prototype development efforts.\nSupport rapid prototyping and wind tunnel testing of scaled models to validate design concepts.\nAssist in requirements development, documentation, and verification planning for aircraft subsystems.\nEnsure designs comply with manufacturing feasibility, mission requirements, and aerospace industry standards.\nWork closely with manufacturing and production teams to transition designs from concept to prototype and full-scale production.</p>\n<p>Required qualifications:</p>\n<p>Bachelor&#39;s degree in Aerospace, Mechanical, or Systems Engineering (or related field).\n5 years of experience in aircraft design, configuration layout, or airframe integration.\nProficiency in CAD modeling (NX, SolidWorks, or similar) for airframe and structural design.\nBasic understanding of aircraft aerodynamics, structures, and propulsion system integration.\nAbility to perform basic FEA, CFD, or weight &amp; balance assessments.\nStrong problem-solving skills, attention to detail, and ability to work in cross-functional teams.\nExcellent communication and technical documentation skills.\nActive Secret clearance</p>\n<p>Preferred qualifications:</p>\n<p>Master&#39;s degree in Aerospace, Mechanical, or Systems Engineering (or related field).\nExperience with unmanned aerial vehicle (UAV) design or aircraft conceptual design.\nFamiliarity with aircraft performance modeling, stability &amp; control, and flight dynamics.\nHands-on experience with rapid prototyping, wind tunnel testing, or flight hardware development.\nKnowledge of manufacturing techniques, composite materials, and aerospace structural design principles.\nExperience working in a fast-paced, high-tech startup or defense environment.\nActive TS clearance or ability to gain a TS clearance.</p>\n<p>$136,730 - $205,096 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_63572733-fec","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Shield AI","sameAs":"https://www.shield.ai","logo":"https://logos.yubhub.co/shield.ai.png"},"x-apply-url":"https://jobs.lever.co/shieldai/0d9b57b1-24ab-4ad7-9c6a-453e6a2960e2","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$136,730 - $205,096 a year","x-skills-required":["Aerospace Engineering","Mechanical Engineering","Systems Engineering","CAD Modeling","Aerodynamics","Structures","Propulsion System Integration","FEA","CFD","Weight & Balance Assessments"],"x-skills-preferred":["Unmanned Aerial Vehicle (UAV) Design","Aircraft Conceptual Design","Aircraft Performance Modeling","Stability & Control","Flight Dynamics","Rapid Prototyping","Wind Tunnel Testing","Flight Hardware Development","Manufacturing Techniques","Composite Materials","Aerospace Structural Design Principles"],"datePosted":"2026-04-17T13:05:23.246Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Diego"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Aerospace Engineering, Mechanical Engineering, Systems Engineering, CAD Modeling, Aerodynamics, Structures, Propulsion System Integration, FEA, CFD, Weight & Balance Assessments, Unmanned Aerial Vehicle (UAV) Design, Aircraft Conceptual Design, Aircraft Performance Modeling, Stability & Control, Flight Dynamics, Rapid Prototyping, Wind Tunnel Testing, Flight Hardware Development, Manufacturing Techniques, Composite Materials, Aerospace Structural Design Principles","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":136730,"maxValue":205096,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a51375e8-30e"},"title":"Member of Technical Staff, Software Co-Design AI HPC Systems","description":"<p>Our team&#39;s mission is to architect, co-design, and productionize next-generation AI systems at datacenter scale. We operate at the intersection of models, systems software, networking, storage, and AI hardware, optimizing end-to-end performance, efficiency, reliability, and cost. Our work spans today&#39;s frontier AI workloads and directly shapes the next generation of accelerators, system architectures, and large-scale AI platforms. We pursue this mission through deep hardware–software co-design, combining rigorous systems thinking with hands-on engineering. The team invests heavily in understanding real production workloads large-scale training, inference, and emerging multimodal models and translating those insights into concrete improvements across the stack: from kernels, runtimes, and distributed systems, all the way down to silicon-level trade-offs and datacenter-scale architectures. This role sits at the boundary between exploration and production. You will work closely with internal infrastructure, hardware, compiler, and product teams, as well as external partners across the hardware and systems ecosystem. Our operating model emphasizes rapid ideation and prototyping, followed by disciplined execution to drive high-leverage ideas into production systems that operate at massive scale. In addition to delivering real-world impact on large-scale AI platforms, the team actively contributes to the broader research and engineering community. Our work aligns closely with leading communities in ML systems, distributed systems, computer architecture, and high-performance computing, and we regularly publish, prototype, and open-source impactful technologies where appropriate.</p>\n<p>About the Team</p>\n<p>We build foundational AI infrastructure that enables large-scale training and inference across diverse workloads and rapidly evolving hardware generations. Our work directly shapes how AI systems are designed, deployed, and scaled today and into the future. Engineers on this team operate with end-to-end ownership, deep technical rigor, and a strong bias toward real-world impact.</p>\n<p>Microsoft Superintelligence Team</p>\n<p>Microsoft Superintelligence team’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p>\n<p>This role is part of Microsoft AI’s Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being. We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!</p>\n<p>Responsibilities</p>\n<p>Lead the co-design of AI systems across hardware and software boundaries, spanning accelerators, interconnects, memory systems, storage, runtimes, and distributed training/inference frameworks. Drive architectural decisions by analyzing real workloads, identifying bottlenecks across compute, communication, and data movement, and translating findings into actionable system and hardware requirements. Co-design and optimize parallelism strategies, execution models, and distributed algorithms to improve scalability, utilization, reliability, and cost efficiency of large-scale AI systems. Develop and evaluate what-if performance models to project system behavior under future workloads, model architectures, and hardware generations, providing early guidance to hardware and platform roadmaps. Partner with compiler, kernel, and runtime teams to unlock the full performance of current and next-generation accelerators, including custom kernels, scheduling strategies, and memory optimizations. Influence and guide AI hardware design at system and silicon levels, including accelerator microarchitecture, interconnect topology, memory hierarchy, and system integration trade-offs. Lead cross-functional efforts to prototype, validate, and productionize high-impact co-design ideas, working across infrastructure, hardware, and product teams. Mentor senior engineers and researchers, set technical direction, and raise the overall bar for systems rigor, performance engineering, and co-design thinking across the organization.</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_a51375e8-30e","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/member-of-technical-staff-software-co-design-ai-hpc-systems-mai-superintelligence-team-3/","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["AI accelerator or GPU architectures","Distributed systems and large-scale AI training/inference","High-performance computing (HPC) and collective communications","ML systems, runtimes, or compilers","Performance modeling, benchmarking, and systems analysis","Hardware–software co-design for AI workloads","Proficiency in systems-level programming (e.g., C/C++, CUDA, Python) and performance-critical software development"],"x-skills-preferred":["Experience designing or operating large-scale AI clusters for training or inference","Deep familiarity with LLMs, multimodal models, or recommendation systems, and their systems-level implications","Experience with accelerator interconnects and communication stacks (e.g., NCCL, MPI, RDMA, high-speed Ethernet or InfiniBand)","Background in performance modeling and capacity planning for future hardware generations","Prior experience contributing to or leading hardware roadmaps, silicon bring-up, or platform architecture reviews","Publications, patents, or open-source contributions in systems, architecture, or ML systems"],"datePosted":"2026-03-08T22:18:41.443Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI accelerator or GPU architectures, Distributed systems and large-scale AI training/inference, High-performance computing (HPC) and collective communications, ML systems, runtimes, or compilers, Performance modeling, benchmarking, and systems analysis, Hardware–software co-design for AI workloads, Proficiency in systems-level programming (e.g., C/C++, CUDA, Python) and performance-critical software development, Experience designing or operating large-scale AI clusters for training or inference, Deep familiarity with LLMs, multimodal models, or recommendation systems, and their systems-level implications, Experience with accelerator interconnects and communication stacks (e.g., NCCL, MPI, RDMA, high-speed Ethernet or InfiniBand), Background in performance modeling and capacity planning for future hardware generations, Prior experience contributing to or leading hardware roadmaps, silicon bring-up, or platform architecture reviews, Publications, patents, or open-source contributions in systems, architecture, or ML systems"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cd1a0d16-311"},"title":"Member of Technical Staff, Software Co-Design AI HPC Systems","description":"<p>Our team&#39;s mission is to architect, co-design, and productionize next-generation AI systems at datacenter scale. We operate at the intersection of models, systems software, networking, storage, and AI hardware, optimizing end-to-end performance, efficiency, reliability, and cost.</p>\n<p>We pursue this mission through deep hardware–software co-design, combining rigorous systems thinking with hands-on engineering. The team invests heavily in understanding real production workloads large-scale training, inference, and emerging multimodal models and translating those insights into concrete improvements across the stack: from kernels, runtimes, and distributed systems, all the way down to silicon-level trade-offs and datacenter-scale architectures.</p>\n<p>This role sits at the boundary between exploration and production. You will work closely with internal infrastructure, hardware, compiler, and product teams, as well as external partners across the hardware and systems ecosystem. Our operating model emphasizes rapid ideation and prototyping, followed by disciplined execution to drive high-leverage ideas into production systems that operate at massive scale.</p>\n<p>In addition to delivering real-world impact on large-scale AI platforms, the team actively contributes to the broader research and engineering community. Our work aligns closely with leading communities in ML systems, distributed systems, computer architecture, and high-performance computing, and we regularly publish, prototype, and open-source impactful technologies where appropriate.</p>\n<p>Microsoft Superintelligence Team\nMicrosoft Superintelligence team’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p>\n<p>This role is part of Microsoft AI’s Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being. We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact.</p>\n<p>Responsibilities\nLead the co-design of AI systems across hardware and software boundaries, spanning accelerators, interconnects, memory systems, storage, runtimes, and distributed training/inference frameworks.</p>\n<p>Drive architectural decisions by analyzing real workloads, identifying bottlenecks across compute, communication, and data movement, and translating findings into actionable system and hardware requirements.</p>\n<p>Co-design and optimize parallelism strategies, execution models, and distributed algorithms to improve scalability, utilization, reliability, and cost efficiency of large-scale AI systems.</p>\n<p>Develop and evaluate what-if performance models to project system behavior under future workloads, model architectures, and hardware generations, providing early guidance to hardware and platform roadmaps.</p>\n<p>Partner with compiler, kernel, and runtime teams to unlock the full performance of current and next-generation accelerators, including custom kernels, scheduling strategies, and memory optimizations.</p>\n<p>Influence and guide AI hardware design at system and silicon levels, including accelerator microarchitecture, interconnect topology, memory hierarchy, and system integration trade-offs.</p>\n<p>Lead cross-functional efforts to prototype, validate, and productionize high-impact co-design ideas, working across infrastructure, hardware, and product teams.</p>\n<p>Mentor senior engineers and researchers, set technical direction, and raise the overall bar for systems rigor, performance engineering, and co-design thinking across the organization.</p>\n<p>Qualifications\nBachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.</p>\n<p>Additional or Preferred Qualifications\nMaster’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.</p>\n<p>Strong background in one or more of the following areas: AI accelerator or GPU architectures Distributed systems and large-scale AI training/inference High-performance computing (HPC) and collective communications ML systems, runtimes, or compilers Performance modeling, benchmarking, and systems analysis Hardware–software co-design for AI workloads Proficiency in systems-level programming (e.g., C/C++, CUDA, Python) and performance-critical software development.</p>\n<p>Proven ability to work across organizational boundaries and influence technical decisions involving multiple stakeholders. Experience designing or operating large-scale AI clusters for training or inference. Deep familiarity with LLMs, multimodal models, or recommendation systems, and their systems-level implications. Experience with accelerator interconnects and communication stacks (e.g., NCCL, MPI, RDMA, high-speed Ethernet or InfiniBand). Background in performance modeling and capacity planning for future hardware generations. Prior experience contributing to or leading hardware roadmaps, silicon bring-up, or platform architecture reviews. 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Your primary goal will be to build and optimize full-funnel campaigns that drive qualified signups, pipeline, and revenue, not just clicks.</p>\n<p>You will develop channel strategy across search, paid social, retargeting, and experimentation budgets, and test ad copy and creative angles tailored to technical audiences. You will also partner closely with creative, content, and product marketing to ship high-performing ad concepts and landing page iterations.</p>\n<p>Your responsibilities will include managing campaign structure, keyword strategy, audience segmentation, and bidding to improve CAC and payback. You will own measurement and attribution, with support from ops and engineering: tracking setup, conversion quality, offline conversion imports, and incrementality testing.</p>\n<p>You will analyse performance trends and communicate results clearly through dashboards, reporting, and weekly insights. You will run structured experiments to identify new growth levers (new audiences, formats, offers, onboarding flows), and collaborate with sales, lifecycle, and data teams to improve lead quality and conversion rates downstream.</p>\n<p><strong>You may be a fit if</strong></p>\n<p>We are actively hiring for both senior and junior roles. To be a good fit for this position, you should have proven ability to manage meaningful monthly budgets and scale spend efficiently while maintaining performance.</p>\n<p>You should have deep expertise in Google Ads (Search, YouTube, Performance Max) and at least one major paid social platform. You should also have strong understanding of funnel metrics: CAC, LTV, payback period, and conversion rates.</p>\n<p>Experience with analytics and attribution tools is also required. You should have highly analytical mindset with comfort in spreadsheets, cohort analysis, and performance modeling. You should be able to move fast, test often, and iterate based on data and user insight.</p>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary</li>\n<li>Opportunity to work with a talented team</li>\n<li>Flexible working hours</li>\n<li>Professional development opportunities</li>\n</ul>\n<p><strong>How to apply</strong></p>\n<p>To apply for this position, please submit your resume, cover letter, and any relevant work samples. We look forward to hearing from you!</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ac8dacbd-f6c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Cursor","sameAs":"https://cursor.com","logo":"https://logos.yubhub.co/cursor.com.png"},"x-apply-url":"https://cursor.com/careers/paid-media-manager","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Google Ads","LinkedIn","Meta","Reddit","YouTube","paid social","analytics","attribution","spreadsheets","cohort analysis","performance modeling"],"x-skills-preferred":["Google Ads","LinkedIn","Meta","Reddit","YouTube","paid social","analytics","attribution","spreadsheets","cohort analysis","performance modeling"],"datePosted":"2026-03-08T00:16:18.153Z","jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Technology","skills":"Google Ads, LinkedIn, Meta, Reddit, YouTube, paid social, analytics, attribution, spreadsheets, cohort analysis, performance modeling, Google Ads, LinkedIn, Meta, Reddit, YouTube, paid social, analytics, attribution, spreadsheets, cohort analysis, performance modeling"},{"@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_7badeaf5-492"},"title":"Hardware / Software CoDesign Engineer","description":"<p><strong>Hardware / Software CoDesign 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>$342K – $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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You will evangelize these constraints with various vendors to develop and influence future hardware architectures towards efficient training and inference on our models. If you are excited about efficiently distributing a large language model across devices, dealing with and optimizing system-wide/rack-wide networking bottlenecks and eventually tailoring the compute pipe and memory hierarchy of the hardware platform, simulating workloads at different abstractions and working closely with our partners, this is the perfect opportunity!</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Co-design future hardware for programmability and performance with our hardware vendors</li>\n</ul>\n<ul>\n<li>Assist hardware vendors in developing optimal kernels and add support for it in our compiler</li>\n</ul>\n<ul>\n<li>Develop performance estimates for critical kernels for different hardware configurations and drive decisions on compute core and memory hierarchy features</li>\n</ul>\n<ul>\n<li>Build system performance models at different abstraction levels and carry out analysis to drive decisions on scale up, scale out, front end networking</li>\n</ul>\n<ul>\n<li>Work with machine learning engineers, kernel engineers and compiler developers to understand their vision and needs from high performance accelerators</li>\n</ul>\n<ul>\n<li>Manage communication and coordination with internal and external partners</li>\n</ul>\n<ul>\n<li>Influence the roadmap of hardware partners to optimize them for OpenAI’s workloads.</li>\n</ul>\n<ul>\n<li>Evaluate potential partners’ accelerators and platforms.</li>\n</ul>\n<ul>\n<li>As the scope of the role and team grows, understand and influence roadmaps for hardware partners for our datacenter networks, racks, and buildings.</li>\n</ul>\n<p><strong>You might thrive in this role if you have:</strong></p>\n<ul>\n<li>4+ years of industry experience, including experience harnessing compute at scale and optimizing ML platform code to run efficiently on target hardware.</li>\n</ul>\n<ul>\n<li>Strong experience in software/hardware co-design</li>\n</ul>\n<ul>\n<li>Deep understanding of GPU and/or other AI accelerators</li>\n</ul>\n<ul>\n<li>Experience with CUDA, Triton or a related accelerator programming language</li>\n</ul>\n<ul>\n<li>Experience driving Machine Learning accuracy with low precision formats</li>\n</ul>\n<ul>\n<li>Experience with system performance modeling and analysis to optimize ML model deployment</li>\n</ul>\n<ul>\n<li>Strong coding skills in C/C++ and Python</li>\n</ul>\n<ul>\n<li>Are familiar with the fundamentals of deep learning computing and chip architecture/microarchitecture.</li>\n</ul>\n<p><strong>These attributes are nice to have:</strong></p>\n<ul>\n<li>PhD in Computer Science and Engineering with a specialization in Computer Architecture, Parallel Computing. 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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<p><strong>Benefits</strong></p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p><strong>About the Team</strong></p>\n<p>The Kernels team at OpenAI builds the low-level software that accelerates our most ambitious AI research.</p>\n<p>We work at the boundary of hardware and software, developing high-performance kernels, distributed system optimizations, and runtime improvements to make large-scale training and inference more efficient.</p>\n<p>Our work enables OpenAI to push the limits by ensuring models - from LLMs to recommender systems - to run reliably on advanced supercomputing platforms. That includes adapting our software stack to new types of accelerators, tuning system performance end-to-end, and removing bottlenecks across every layer of the stack.</p>\n<p><strong>About the Role</strong></p>\n<p>On the Accelerators team, you will help OpenAI evaluate and bring up new compute platforms that can support large-scale AI training and inference.</p>\n<p>Your work will range from prototyping system software on new accelerators to enabling performance optimizations across our AI workloads.</p>\n<p>You’ll work across the stack, collaborating with both hardware and software aspects - working on kernels, sharding strategies, scaling across distributed systems, and performance modeling.</p>\n<p>You&#39;ll help adapt OpenAI&#39;s software stack to non-traditional hardware and drive efficiency improvements in core AI workloads. This is not a compiler-focused role, rather bridging ML algorithms with system performance - especially at scale.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Prototype and enable OpenAI&#39;s AI software stack on new, exploratory accelerator platforms.</li>\n</ul>\n<ul>\n<li>Optimize large-scale model performance (LLMs, recommender systems, distributed AI workloads) for diverse hardware environments.</li>\n</ul>\n<ul>\n<li>Develop kernels, sharding mechanisms, and system scaling strategies tailored to emerging accelerators.</li>\n</ul>\n<ul>\n<li>Collaborate on optimizations at the model code level (e.g. PyTorch) and below to enhance performance on non-traditional hardware.</li>\n</ul>\n<p>Perform system-level performance modeling, debug bottlenecks, and drive end-to-end optimization.</p>\n<ul>\n<li>Work with hardware teams and vendors to evaluate alternatives to existing platforms and adapt the software stack to their architectures.</li>\n</ul>\n<ul>\n<li>Contribute to runtime improvements, compute/communication overlapping, and scaling efforts for frontier AI workloads.</li>\n</ul>\n<p><strong>You might thrive in this role if you have:</strong></p>\n<ul>\n<li>3+ years of experience working on AI infrastructure, including kernels, systems, or hardware-software co-design</li>\n</ul>\n<ul>\n<li>Hands-on experience with accelerator platforms for AI at data center scale (e.g., TPUs, custom silicon, exploratory architectures).</li>\n</ul>\n<ul>\n<li>Strong understanding of kernels, sharding, runtime systems, or distributed scaling techniques.</li>\n</ul>\n<ul>\n<li>Familiarity with optimizing LLMs, CNNs, or recommender models for hardware efficiency.</li>\n</ul>\n<ul>\n<li>Experience with performance modeling, system debugging, and software stack adaptation for novel architectures.</li>\n</ul>\n<ul>\n<li>Exposure to mobile accelerators is welcome, but experience enabling data center-scale AI hardware is preferred.</li>\n</ul>\n<ul>\n<li>Ability to operate across multiple levels of the stack, rapidly prototype solutions, and navigate ambiguity in early hardware bring-up phases</li>\n</ul>\n<ul>\n<li>Interest in shaping the future of AI compute through exploration of alternatives to mainstream accelerators.</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_4e51470c-8f1","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/f386b209-1259-4b79-bf5a-aa97fc7ce77b","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$295K – $380K • Offers Equity","x-skills-required":["AI infrastructure","kernels","systems","hardware-software co-design","accelerator platforms","TPUs","custom silicon","exploratory architectures","kernels","sharding","runtime systems","distributed scaling techniques","LLMs","CNNs","recommender models","hardware efficiency","performance modeling","system debugging","software stack adaptation","novel architectures"],"x-skills-preferred":["mobile accelerators","data center-scale AI hardware"],"datePosted":"2026-03-06T18:27:12.141Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI infrastructure, kernels, systems, hardware-software co-design, accelerator platforms, TPUs, custom silicon, exploratory architectures, kernels, sharding, runtime systems, distributed scaling techniques, LLMs, CNNs, recommender models, hardware efficiency, performance modeling, system debugging, software stack adaptation, novel architectures, mobile accelerators, data center-scale AI hardware","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":295000,"maxValue":380000,"unitText":"YEAR"}}}]}