{"id":2182187,"url":"https://alion.io/job/graphcore-staff-ai-performance-engineer-2","title":"Staff AI Performance Engineer","company":{"id":33,"name":"Graphcore","domain":"graphcore.ai","url":"https://alion.io/company/graphcore","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":92,"open_postings":161,"ghost_share":0,"stale_share":0.112,"repost_share":0,"time_to_fill_p50_days":69,"computed_at":"2026-10-12T06:55:09Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Milpitas, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":177000,"max_usd":362000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":780},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Machine Learning","optional":false},{"name":"NCCL","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-10-09T13:29:54Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-12T17:32:49Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"About the Job\nLead performance work that turns large-scale AI workloads into faster, more efficient systems.\nAs a Staff AI Performance Engineer, you will analyze and optimize AI training and inference workloads across distributed systems. Your work will connect compute, memory, networking and software behavior.\nYou will lead complex performance workstreams across hardware and software. You will find bottlenecks, validate improvements and turn performance evidence into practical engineering decisions.\nYou will build benchmarks, profile demanding workloads and develop C++ and Python tools for analysis and optimization. Your recommendations will help teams improve efficiency, scalability and reliability.\nThis role gives you broad technical scope across AI infrastructure at data center scale. It is based in Milpitas, California.\nThe team and culture\nThe System Engineering Performance team architects, evaluates and optimizes high-performance infrastructure for large-scale data center deployments. The team works across the computing stack to understand real system behavior.\nWork moves through evidence, ownership and clear technical judgment. You will lead investigations, coordinate across teams and validate impact with reliable performance data.\nDecisions are shaped through benchmarks, models, simulations and practical engineering tradeoffs. The team values engineers who think big, act fast, take responsibility, speak up and lead beyond their own area.\nWhat we’re looking for\n· Strong experience profiling and optimizing AI, machine learning or high-performance computing workloads.\n· Experience with distributed systems and communication libraries such as MPI, NCCL, UCX or libfabric.\n· Strong C++ and Python skills, including reliable tools or performance-sensitive software.\n· Deep understanding of compute, memory and communication behavior in large-scale systems.\n· Ability to lead technically complex work and coordinate improvements across teams.\n· Familiarity with MLPerf, accelerated architectures, ML frameworks or high-performance interconnects.\nWhile we have outlined a set of requirements, we value transferable skills and diverse experiences. We also welcome engineers returning to the profession after a career break, including through returnship routes.\nBenefits\nGraphcore offers competitive compensation and benefits designed to support employees' health, financial well-being, work-life needs, and professional growth. Benefits and programs for eligible U.S. employees may include: \nMedical, dental, and vision coverage, with options that may extend to eligible dependents.\nMental health, wellness, and employee assistance resources.\nRetirement savings benefits and company contributions where applicable.\nPaid vacation, sick time, company holidays, and parental or family leave in accordance with applicable plans and policies.\nLife insurance and short-term or long-term disability coverage.\nFlexible working hours and hybrid working arrangements where compatible with the role and team requirements.\nProfessional-development resources, learning programs, office amenities, and team-led activities. \nBenefits vary by work location, employment status, scheduled hours, and plan eligibility and are subject to the terms of the applicable plans and company policies. This overview is not a contract or guarantee of benefits. \nGraphcore is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, creed, sex, pregnancy, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, veteran status, or any other status protected by applicable law. \nGraphcore is committed to an inclusive and accessible hiring process. If you need a reasonable accommodation to participate in the application or interview process, please let the recruiting team know. \nPersonal information submitted during the recruiting process will be handled in accordance with Graphcore's applicable candidate privacy notices.\nJoin the Team at Graphcore\nGraphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.\nAs part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.\nGraphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute.\nReady to lead performance improvements across AI systems at data center scale? Apply now to join Graphcore in Milpitas.","description_format":"text","description_chars":5064,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Flexible schedule","Hybrid work","Life insurance","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-10-09T15:15:40Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":69,"reasons":["conf:1","velocity","win:early","comp:brand"],"computed_at":"2026-10-12T06:55:09Z"},"pay":null,"html_url":"https://alion.io/job/graphcore-staff-ai-performance-engineer-2","json_url":"https://alion.io/job/graphcore-staff-ai-performance-engineer-2.json","meta":{"generated_at":"2026-10-12T20:07:51Z","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":32590,"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":33},"rest":"https://alion.io/mcp/rest/get_company?id=33"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgraphcore-staff-ai-performance-engineer-2"},{"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%2Fgraphcore-staff-ai-performance-engineer-2"},{"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%2Fgraphcore-staff-ai-performance-engineer-2"},{"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/graphcore-staff-ai-performance-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgraphcore-staff-ai-performance-engineer-2"}]}