{"id":127752,"url":"https://alion.io/job/genmo-gpu-performance-engineer","title":"GPU Performance Engineer","company":{"id":48064,"name":"Genmo","domain":"genmo.ai","url":"https://alion.io/company/genmo","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":169000,"max_usd":322000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1213},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"CUTLASS","optional":false},{"name":"InfiniBand","optional":false},{"name":"Python","optional":false},{"name":"Sass","optional":false},{"name":"Triton","optional":false},{"name":"World Models","optional":false}],"status":"live","first_seen_at":"2025-07-17T16:55:44Z","employer_posted_date":"2025-07-17","last_verified_at":"2026-10-17T23:15:36Z","board_verified":true,"closed_at":null,"days_open":457,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":456},"description":"We are Genmo, a research lab developing the world’s most sophisticated video world models to understand, simulate, and interact with the physical world. Our mission is to unlock the right brain of AGI. Join us in advancing physical intelligence and enabling robots to learn and act in a changing world.\nWe're seeking a GPU Performance Engineer to squeeze every last FLOP from our H100 infrastructure and optimize our model serving stack to its absolute limits.\nThe Role\nYou'll be our performance optimization expert, using advanced profiling tools to identify bottlenecks and implementing solutions that achieve 5-10x speedups. From writing custom CUDA kernels to eliminating cold start latency, you'll ensure our infrastructure delivers world-class performance. This role is perfect for someone who gets excited about microsecond optimizations and pushing hardware to its theoretical limits.\nKey Responsibilities\nProfile and optimize GPU workloads using Nsight Systems, nvprof, and custom instrumentation\n\nWrite high-performance CUDA and Triton kernels for critical model operations\n\nOptimize cold start latency from seconds to milliseconds for our serving infrastructure\n\nTune memory access patterns, kernel fusion, and GPU utilization\n\nCollaborate with ML engineers to optimize model implementations\n\nDebug performance issues across the full stack from application to hardware\n\nImplement custom memory pooling and allocation strategies\n\nShare optimization techniques and build performance culture across teams\n\nQualifications\nBachelor's or Master's degree in Computer Science, Electrical Engineering, or related field\n\n5+ years systems programming experience with 3+ years focused on GPU optimization\n\nExpert proficiency with GPU profiling tools (Nsight Systems, nvprof)\n\nStrong CUDA programming skills with production kernel development\n\nDeep understanding of GPU architecture (memory hierarchy, SMs, warps)\n\nTrack record of achieving significant performance improvements (5-10x)\n\nExperience with Python and C++ in production environments\n\nWe Value\nExperience with Triton kernel development\n\nKnowledge of CUTLASS or similar high-performance libraries\n\nBackground in ML-specific optimizations (attention, transformers)\n\nRDMA/InfiniBand optimization experience\n\nContributions to GPU libraries or frameworks\n\nLow-level debugging skills (PTX/SASS reading)\n\nGenmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. 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