{"id":2058410,"url":"https://alion.io/job/sciforium-gpu-kernel-engineer-6","title":"GPU Kernel Engineer","company":{"id":716759,"name":"Sciforium","domain":"sciforium.ai","url":"https://alion.io/company/sciforium-2","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":80,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":11,"computed_at":"2026-10-12T06:55:09Z"}},"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":{"min":190000,"max":250000,"currency":"USD","period":"year","gross":null,"usd_annual":250000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Assembly","optional":false},{"name":"C++","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"Edge AI","optional":false},{"name":"JAX","optional":false},{"name":"LLM","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"ROCm","optional":false},{"name":"Triton","optional":false},{"name":"TensorRT","optional":true},{"name":"TPU","optional":true},{"name":"vLLM","optional":true},{"name":"XLA","optional":true}],"status":"live","first_seen_at":"2026-10-07T23:16:23Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-12T11:48:27Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Sciforium is an AI infrastructure company developing next-generation multimodal AI models and a proprietary, high-efficiency serving platform. Backed by multi-million-dollar funding and direct sponsorship from AMD with hands-on support from AMD engineers the team is scaling rapidly to build the full stack powering frontier AI models and real-time applications.\nAbout the role\nWe are seeking a highly skilled GPU Kernel Engineer who is passionate about pushing the limits of performance on modern accelerators. In this role, you will design and optimize custom GPU kernels that power next-generation large-scale AI systems. You will work across the hardware-software stack, from low-level kernel development to integrating optimized ops into high-level ML frameworks used for large-scale training and inference.\nThis role is ideal for someone who thrives at the intersection of GPU programming, systems engineering, and cutting-edge AI workloads, and who wants to make meaningful contributions to the efficiency and scalability of our ML platform.\nKey Responsibilities\nDesign, implement, and optimize custom GPU kernels using C++, PTX, CUDA, ROCm, Triton, and/or JAX Pallas.\n\nProfile and optimize end-to-end performance of ML operations, with a focus on large-scale LLM training and inference.\n\nIntegrate low-level GPU kernels into frameworks such as PyTorch, JAX, and custom internal runtimes.\n\nDevelop performance models, identify bottlenecks, and deliver kernel-level improvements that significantly accelerate AI workloads.\n\nCollaborate with ML researchers, distributed systems engineers, and model-serving teams to optimize compute performance across the stack.\n\nWork closely with hardware vendors (NVIDIA/AMD) and stay current on the latest GPU architecture capabilities and compiler/toolchain improvements.\n\nContribute to tooling, documentation, benchmarking suites, and testing frameworks to ensure correctness and performance reproducibility.\n\nMust-Haves\n5+ years of industry or research experience in GPU kernel development or high-performance computing.\n\nBachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or a related field.\n\nStrong programming skills in C++, Python, and familiarity with ML frameworks.\n\nDeep expertise in CUDA/ROCm, GPU memory models, and performance optimization strategies.\n\nHands-on experience with Triton and/or JAX Pallas for custom kernel development.\n\nStrong understanding of PTX, GPU ASM, and low-level GPU execution.\n\nExtensive experience writing and optimizing custom GPU kernels in C++ and PTX.\n\nProven ability to integrate low-level kernels into PyTorch, JAX, or similar frameworks.\n\nExperience working with large-scale LLM workloads (training or inference).\n\nNice-to-Haves\nExperience with AMD GPUs and ROCm optimization.\n\nFamiliarity with JAX FFI and custom ML operator development.\n\nExperience with efficient model serving frameworks (e.g., vLLM, TensorRT).\n\nExperience with TPUs, XLA, or similar accelerator programming environments.\n\nContributions to open-source ML systems, compilers, or GPU kernels.\n\nBenefits include\nMedical, dental, and vision insurance\n\n401k plan\n\nDaily lunch, snacks, and beverages\n\nFlexible time off\n\nCompetitive salary and equity\n\nEqual opportunity\nSciforium is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.","description_format":"text","description_chars":3512,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Equity","Flexible time off","Vision insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["AI Compute & Inference"],"lifecycle":[{"event":"open","at":"2026-10-08T00:46:42Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 5","filings_12m":5,"filings_prev_12m":0,"green_card_filings_12m":0,"median_offered_wage_usd":175500,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":5}],"liveness":{"score":81,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":0.945,"age_days":4,"expected_fill_days":11,"reasons":["conf:2","win:mid"],"computed_at":"2026-10-12T06:55:09Z"},"pay":{"stated_usd_annual":250000,"is_top_pay":true},"html_url":"https://alion.io/job/sciforium-gpu-kernel-engineer-6","json_url":"https://alion.io/job/sciforium-gpu-kernel-engineer-6.json","meta":{"generated_at":"2026-10-12T13:30:16Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":21157,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":716759},"rest":"https://alion.io/mcp/rest/get_company?id=716759"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsciforium-gpu-kernel-engineer-6"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fsciforium-gpu-kernel-engineer-6"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fsciforium-gpu-kernel-engineer-6"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/sciforium-gpu-kernel-engineer-6\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsciforium-gpu-kernel-engineer-6"}]}