{"id":2910645,"url":"https://alion.io/job/amd-triton-compiler-and-kernel-software-engineer","title":"Triton Compiler and Kernel Software Engineer","company":{"id":93,"name":"AMD","domain":"amd.com","url":"https://alion.io/company/amd","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Jibe","truth_index":{"grade":"B","score":75,"open_postings":162,"ghost_share":0,"stale_share":0.994,"repost_share":0,"time_to_fill_p50_days":29,"computed_at":"2026-10-25T05:49:26Z"}},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Jose, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":153000,"max_usd":327000,"period":"year","method":"role_country_seniority_unknown","sample_n":8836},"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Mixture of Experts","optional":false},{"name":"MLIR","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"ROCm","optional":false},{"name":"Triton","optional":false},{"name":"CUDA","optional":true},{"name":"NCCL","optional":true}],"status":"live","first_seen_at":"2026-09-29T15:30:00Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-25T17:12:45Z","board_verified":true,"closed_at":null,"days_open":26,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":26},"description":"ADVANCE YOUR CAREER. ADVANCE THE WORLD.\nAt AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.\nWhether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger - technology that moves the world forward. Join us and, together, we’ll advance your career.\nTHE ROLE:\nWe are seeking a Senior Triton Compiler and Kernel Engineer to advance Triton performance and capabilities on AMD GPUs.\nTriton is an open-source language and compiler for developing high-performance GPU kernels in Python. It is a critical layer in the AI software stack, connecting frameworks and workloads to GPU hardware. Triton is strategic to AMD’s AI roadmap, and AMD is investing fully in making it a first-class platform for current and future AMD GPUs.\nYou will work across GPU architecture, compilers, kernels, multi-GPU communication, and AI frameworks while contributing to upstream Triton and AMD’s ROCm software stack.\nTHE PERSON:\nThe ideal candidate has strong experience in several of the following areas:\nGPU architecture and programming\nCompiler development and optimization\nHigh-performance GPU kernels\nMulti-GPU communication and collective operations\nDistributed AI training and inference\nAI workload and framework performance\nLow-level performance analysis\nYou can reason across the stack-from distributed AI algorithms and Triton programs to compiler transformations, communication libraries, generated instructions, and GPU hardware.\nKEY RESPONSIBILITIES:\nDevelop and optimize Triton compiler support for AMD GPUs.\nImprove compiler lowering, optimization, scheduling, and code generation.\nCreate high-performance kernels for attention, GEMM, MoE, and other AI workloads.\nDevelop and optimize multi-GPU kernels and communication primitives.\nEnable new AMD GPU and interconnect capabilities through effective Triton abstractions.\nAnalyze compute, memory, communication, occupancy, register usage, and generated code.\nResolve complex correctness and performance issues across single- and multi-GPU workloads.\nCollaborate with GPU architecture, ROCm, PyTorch, and AI framework teams.\nContribute designs and implementations to upstream Triton and LLVM/MLIR.\nProvide technical leadership, code reviews, and mentoring.\nPREFERRED EXPERIENCE:\nExperience with AMD GPU architecture and ROCm is highly desirable.\nExperience optimizing kernels with Triton, HIP, CUDA, or GPU assembly.\nExperience with Triton, LLVM, MLIR, or another optimizing compiler.\nKnowledge of GPU execution models, memory hierarchies, synchronization, and instruction pipelines.\nExperience with collective communication, distributed programming, and libraries such as RCCL or NCCL.\nUnderstanding of communication topologies, interconnects, synchronization, and communication-computation overlap.\nFamiliarity with distributed training, inference, tensor parallelism, expert parallelism, or pipeline parallelism.\nExperience using AI coding tools and autonomous agents to accelerate software development, debugging, benchmarking, and kernel performance tuning.\nFamiliarity with AI primitives, reduced-precision formats, and performance profiling.\nContributions to complex or open-source software projects.\nStrong analytical, debugging, communication, and collaboration skills.\nACADEMIC CREDENTIALS:\nBachelor’s or Master'sdegree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent\nThis role is not eligible for visa sponsorship.\nBenefits offered are described: AMD benefits at a glance.\nAMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.\nAMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.\n\nThis posting is for an existing vacancy.\nTHE ROLE:\nWe are seeking a Senior Triton Compiler and Kernel Engineer to advance Triton performance and capabilities on AMD GPUs.\nTriton is an open-source language and compiler for developing high-performance GPU kernels in Python. It is a critical layer in the AI software stack, connecting frameworks and workloads to GPU hardware. Triton is strategic to AMD’s AI roadmap, and AMD is investing fully in making it a first-class platform for current and future AMD GPUs.\nYou will work across GPU architecture, compilers, kernels, multi-GPU communication, and AI frameworks while contributing to upstream Triton and AMD’s ROCm software stack.\nTHE PERSON:\nThe ideal candidate has strong experience in several of the following areas:\nGPU architecture and programming\nCompiler development and optimization\nHigh-performance GPU kernels\nMulti-GPU communication and collective operations\nDistributed AI training and inference\nAI workload and framework performance\nLow-level performance analysis\nYou can reason across the stack-from distributed AI algorithms and Triton programs to compiler transformations, communication libraries, generated instructions, and GPU hardware.\nKEY RESPONSIBILITIES:\nDevelop and optimize Triton compiler support for AMD GPUs.\nImprove compiler lowering, optimization, scheduling, and code generation.\nCreate high-performance kernels for attention, GEMM, MoE, and other AI workloads.\nDevelop and optimize multi-GPU kernels and communication primitives.\nEnable new AMD GPU and interconnect capabilities through effective Triton abstractions.\nAnalyze compute, memory, communication, occupancy, register usage, and generated code.\nResolve complex correctness and performance issues across single- and multi-GPU workloads.\nCollaborate with GPU architecture, ROCm, PyTorch, and AI framework teams.\nContribute designs and implementations to upstream Triton and LLVM/MLIR.\nProvide technical leadership, code reviews, and mentoring.\nPREFERRED EXPERIENCE:\nExperience with AMD GPU architecture and ROCm is highly desirable.\nExperience optimizing kernels with Triton, HIP, CUDA, or GPU assembly.\nExperience with Triton, LLVM, MLIR, or another optimizing compiler.\nKnowledge of GPU execution models, memory hierarchies, synchronization, and instruction pipelines.\nExperience with collective communication, distributed programming, and libraries such as RCCL or NCCL.\nUnderstanding of communication topologies, interconnects, synchronization, and communication-computation overlap.\nFamiliarity with distributed training, inference, tensor parallelism, expert parallelism, or pipeline parallelism.\nExperience using AI coding tools and autonomous agents to accelerate software development, debugging, benchmarking, and kernel performance tuning.\nFamiliarity with AI primitives, reduced-precision formats, and performance profiling.\nContributions to complex or open-source software projects.\nStrong analytical, debugging, communication, and collaboration skills.\nACADEMIC CREDENTIALS:\nBachelor’s or Master'sdegree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent\nThis role is not eligible for visa sponsorship.\nBenefits offered are described: AMD benefits at a glance.\nAMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.\nAMD may use Artificial Intelligence to help screen, assess or select applicants for this position. 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