{"schemaVersion":"jobsearcher.job.v1","id":"1e613a7b13e4ea6447d4524d","url":"https://jobsearcher.com/jobs/1e613a7b13e4ea6447d4524d","canonicalUrl":"https://jobsearcher.com/jobs/1e613a7b13e4ea6447d4524d","title":"Principal AI Accelerator Tools Development Engineer","description":"Overview\n\nMicrosoft Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) is the team behind Microsoft’s expanding Cloud Infrastructure and responsible for powering Microsoft’s “Intelligent Cloud” mission. SCHIE delivers the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, Teams, OneDrive, and the Microsoft Azure platform globally with our server and data center infrastructure, security and compliance, operations, globalization, and manageability solutions. Our focus is on smart growth, high efficiency, and delivering a trusted experience to customers and partners worldwide and we are looking for passionate engineers to help achieve that mission.\nMicrosoft's Hardware Systems organization is developing AI-native silicon and hyperscale systems designed to power the next generation of frontier AI models. The MAIA platform combines custom silicon, high-performance networking, advanced compiler technologies, and large-scale system infrastructure to enable industry-leading AI training and inference.\nThe Platform Systems Engineering (PSE) team is seeking a Principal AI Accelerator Tools Development Engineer to lead the development of next-generation stress, validation, and performance tooling for MAIA AI accelerator platforms.\nIn this role, you will build software frameworks, stress workloads, and validation tools that exercise every layer of the AI stack, from hardware execution engines and memory subsystems to compiler-generated kernels, distributed communication fabrics, and large-scale AI workloads. Your work will play a critical role in platform bring-up, qualification, performance characterization, reliability validation, and fleet readiness for both current and future generations of MAIA systems.\nYou will work closely with silicon architects, compiler teams, runtime developers, performance engineers, validation teams, and AI framework developers to translate platform requirements into scalable tooling and workload solutions.\nMicrosoft’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.\n\nResponsibilities\n\nAI Workload & Stress Tool Development\nDesign and develop scalable stress, performance, and validation frameworks for MAIA AI accelerator platforms.\nBuild workload generation infrastructure capable of exercising compute, memory, interconnect, networking, storage, and system-level resources.\nDevelop reusable stress tools using PyTorch, Triton, Python, C++, and custom MAIA SDKs.\nCreate synthetic and production-inspired workloads that model training and inference behaviors observed in large-scale AI deployments.\nBuild automated infrastructure for workload deployment, orchestration, telemetry collection, and result analysis.\nHardware-Aware Workload Optimization\nDevelop and optimize kernels targeting custom AI accelerators.\nCreate GEMM, attention, collective communication, and memory intensive stress workloads.\nAnalyze execution behavior across the hardware-software stack and identify bottlenecks impacting utilization and performance.\nCollaborate with compiler and runtime teams to improve workload efficiency and hardware utilization.\nCompiler & SDK Integration\nDevelop tooling that integrates with MAIA compiler pipelines, SDKs, runtime environments, and performance analysis tools.\nUnderstand and debug compiler output, generated kernels, scheduling decisions, and execution behavior.\nBuild automation around model compilation, kernel validation, regression testing, and workload portability.\nPartner with compiler teams to validate new compiler features and workload optimization strategies.\nPlatform Validation & Reliability\nDesign workload suites for platform bring-up, qualification, and reliability testing.\nBuild comprehensive regression infrastructure supporting silicon, firmware, system software, and platform releases.\nDevelop automated validation tools capable of identifying correctness, performance, thermal, power, and stability issues.\nEnable platform readiness through scalable validation methodologies and continuous regression testing.\nPerformance Engineering\nCharacterize system performance across compute, networking, memory, and storage subsystems.\nDevelop benchmarking methodologies and performance dashboards.\nAdapt and optimize industry-standard workloads including:\nHPL/HPC benchmarks\nLLM training workloads\nTransformer-based inference workloads\nCollective communication benchmarks\nAI framework benchmark suites\nDrive root-cause analysis and optimization initiatives across the stack.\nDeveloper Productivity & Automation\nImprove developer productivity through automation, CI/CD integration, diagnostics, and debugging infrastructure.\nBuild reusable tooling for workload generation, failure triage, telemetry analysis, and reporting.\nDevelop dashboards and automated workflows for large-scale validation environments.\nPartner with engineering teams to convert recurring validation challenges into durable tooling solutions.\n\nQualifications\n\nRequired Qualifications:\nMaster's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 7+ years technical engineering experience\nOR Bachelor's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 8+ years technical engineering experience\nOR equivalent experience\n8+ years of experience developing and optimizing AI training and inference workloads for GPUs, AI accelerators, or HPC platforms, including distributed AI systems, compute-intensive kernel development, and performance-focused software development using frameworks such as C++, PyTorch and Triton.\n8+ years of experience analyzing and optimizing workloads on AI accelerator, GPU, or HPC platforms, including performance profiling, bottleneck analysis, and workload optimization, with knowledge of accelerator architectures, memory hierarchies, interconnects, runtime systems, and distributed AI infrastructure.\n8+ years of experience developing and optimizing GPU or AI accelerator kernels; building automated stress, validation, benchmarking, and reliability frameworks; and driving performance analysis and root-cause resolution across hardware, software, and distributed system environments.\n\nOther Qualifications:\nAbility to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:\nMicrosoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.\n\nPreferred Qualifications:\nExperience with AI compiler technologies and kernel generation frameworks, including LLVM, MLIR, Triton Compiler, or similar compiler toolchains.\nExperience training, optimizing, or deploying large-scale AI models, including LLM training and inference workloads.\nExperience with custom AI accelerator SDKs, collective communication libraries, and large-scale distributed computing environments.\nExperience supporting silicon bring-up, platform qualification, post-silicon validation, or hardware/software integration activities and cloud-scale validation infrastructure\n\n#azure #MAIA #AI/ML\n\nSoftware Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. 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.\nCertain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:\nhttps://careers.microsoft.com/us/en/us-corporate-pay\n\nThis position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.\n\nMicrosoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.","company":"Microsoft","rawCompany":"microsoft","city":"Mountain View","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-07-29T02:41:19.468Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Principal AI Accelerator Tools Development Engineer","description":"Overview\n\nMicrosoft Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) is the team behind Microsoft’s expanding Cloud Infrastructure and responsible for powering Microsoft’s “Intelligent Cloud” mission. SCHIE delivers the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, Teams, OneDrive, and the Microsoft Azure platform globally with our server and data center infrastructure, security and compliance, operations, globalization, and manageability solutions. Our focus is on smart growth, high efficiency, and delivering a trusted experience to customers and partners worldwide and we are looking for passionate engineers to help achieve that mission.\nMicrosoft's Hardware Systems organization is developing AI-native silicon and hyperscale systems designed to power the next generation of frontier AI models. The MAIA platform combines custom silicon, high-performance networking, advanced compiler technologies, and large-scale system infrastructure to enable industry-leading AI training and inference.\nThe Platform Systems Engineering (PSE) team is seeking a Principal AI Accelerator Tools Development Engineer to lead the development of next-generation stress, validation, and performance tooling for MAIA AI accelerator platforms.\nIn this role, you will build software frameworks, stress workloads, and validation tools that exercise every layer of the AI stack, from hardware execution engines and memory subsystems to compiler-generated kernels, distributed communication fabrics, and large-scale AI workloads. Your work will play a critical role in platform bring-up, qualification, performance characterization, reliability validation, and fleet readiness for both current and future generations of MAIA systems.\nYou will work closely with silicon architects, compiler teams, runtime developers, performance engineers, validation teams, and AI framework developers to translate platform requirements into scalable tooling and workload solutions.\nMicrosoft’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.\n\nResponsibilities\n\nAI Workload & Stress Tool Development\nDesign and develop scalable stress, performance, and validation frameworks for MAIA AI accelerator platforms.\nBuild workload generation infrastructure capable of exercising compute, memory, interconnect, networking, storage, and system-level resources.\nDevelop reusable stress tools using PyTorch, Triton, Python, C++, and custom MAIA SDKs.\nCreate synthetic and production-inspired workloads that model training and inference behaviors observed in large-scale AI deployments.\nBuild automated infrastructure for workload deployment, orchestration, telemetry collection, and result analysis.\nHardware-Aware Workload Optimization\nDevelop and optimize kernels targeting custom AI accelerators.\nCreate GEMM, attention, collective communication, and memory intensive stress workloads.\nAnalyze execution behavior across the hardware-software stack and identify bottlenecks impacting utilization and performance.\nCollaborate with compiler and runtime teams to improve workload efficiency and hardware utilization.\nCompiler & SDK Integration\nDevelop tooling that integrates with MAIA compiler pipelines, SDKs, runtime environments, and performance analysis tools.\nUnderstand and debug compiler output, generated kernels, scheduling decisions, and execution behavior.\nBuild automation around model compilation, kernel validation, regression testing, and workload portability.\nPartner with compiler teams to validate new compiler features and workload optimization strategies.\nPlatform Validation & Reliability\nDesign workload suites for platform bring-up, qualification, and reliability testing.\nBuild comprehensive regression infrastructure supporting silicon, firmware, system software, and platform releases.\nDevelop automated validation tools capable of identifying correctness, performance, thermal, power, and stability issues.\nEnable platform readiness through scalable validation methodologies and continuous regression testing.\nPerformance Engineering\nCharacterize system performance across compute, networking, memory, and storage subsystems.\nDevelop benchmarking methodologies and performance dashboards.\nAdapt and optimize industry-standard workloads including:\nHPL/HPC benchmarks\nLLM training workloads\nTransformer-based inference workloads\nCollective communication benchmarks\nAI framework benchmark suites\nDrive root-cause analysis and optimization initiatives across the stack.\nDeveloper Productivity & Automation\nImprove developer productivity through automation, CI/CD integration, diagnostics, and debugging infrastructure.\nBuild reusable tooling for workload generation, failure triage, telemetry analysis, and reporting.\nDevelop dashboards and automated workflows for large-scale validation environments.\nPartner with engineering teams to convert recurring validation challenges into durable tooling solutions.\n\nQualifications\n\nRequired Qualifications:\nMaster's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 7+ years technical engineering experience\nOR Bachelor's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 8+ years technical engineering experience\nOR equivalent experience\n8+ years of experience developing and optimizing AI training and inference workloads for GPUs, AI accelerators, or HPC platforms, including distributed AI systems, compute-intensive kernel development, and performance-focused software development using frameworks such as C++, PyTorch and Triton.\n8+ years of experience analyzing and optimizing workloads on AI accelerator, GPU, or HPC platforms, including performance profiling, bottleneck analysis, and workload optimization, with knowledge of accelerator architectures, memory hierarchies, interconnects, runtime systems, and distributed AI infrastructure.\n8+ years of experience developing and optimizing GPU or AI accelerator kernels; building automated stress, validation, benchmarking, and reliability frameworks; and driving performance analysis and root-cause resolution across hardware, software, and distributed system environments.\n\nOther Qualifications:\nAbility to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:\nMicrosoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.\n\nPreferred Qualifications:\nExperience with AI compiler technologies and kernel generation frameworks, including LLVM, MLIR, Triton Compiler, or similar compiler toolchains.\nExperience training, optimizing, or deploying large-scale AI models, including LLM training and inference workloads.\nExperience with custom AI accelerator SDKs, collective communication libraries, and large-scale distributed computing environments.\nExperience supporting silicon bring-up, platform qualification, post-silicon validation, or hardware/software integration activities and cloud-scale validation infrastructure\n\n#azure #MAIA #AI/ML\n\nSoftware Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. 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.\nCertain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:\nhttps://careers.microsoft.com/us/en/us-corporate-pay\n\nThis position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.\n\nMicrosoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.","datePosted":"2026-07-29T02:41:19.468Z","dateModified":"2026-07-29T02:41:19.468Z","hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"1e613a7b13e4ea6447d4524d"},"url":"https://jobsearcher.com/jobs/1e613a7b13e4ea6447d4524d"}}