{"id":2481682,"url":"https://alion.io/job/clockwork-senior-systems-engineer-ai-infrastructure-2","title":"Senior Systems Engineer - AI Infrastructure","company":{"id":39049,"name":"Clockwork","domain":"clockwork.io","url":"https://alion.io/company/clockwork-io","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":95,"open_postings":6,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":252,"computed_at":"2026-10-15T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Palo Alto, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":210000,"currency":"USD","period":"year","gross":null,"usd_annual":210000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"C++","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"NCCL","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"InfiniBand","optional":true}],"status":"live","first_seen_at":"2026-10-13T19:47:06Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-15T10:33:40Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About Clockwork Systems\nClockwork.io - Software Driven Fabrics to increase GPU cluster utilization\nClockwork Systems was founded by Stanford researchers and veteran systems engineers who share a vision for redefining the foundations of distributed computing. As AI workloads grow increasingly complex, traditional infrastructure struggles to meet the demands of performance, reliability, and precise coordination. Clockwork is pioneering a software-driven approach to AI fabrics by delivering cross-stack observability to catch and quickly resolve problems, workload fault tolerance to keep jobs running through failures, and performance acceleration that dynamically routes and paces traffic to avoid congestion.\nTo learn more, visit www.clockwork.io.\nAbout the Role\nWe're building infrastructure for fault-tolerant, high-performance distributed GPU training. You'll work at the intersection of GPU systems, high-speed networking, and distributed coordination-designing and implementing systems that run at scale.\nThis is a systems building role. You'll dig into internals, understand why things break under pressure, and design solutions that handle the messy reality of distributed systems.\nWhat You'll Do\nDesign and implement low-level systems software for GPU clusters\nWork with internals of frameworks like PyTorch, NCCL, CUDA runtime-not as a user, but modifying and extending them\nBuild components that make large-scale GPU training more reliable and efficient\nDebug complex distributed/concurrent systems where failures are subtle and non-deterministic\nOwn systems end-to-end: from design through production\nWhat We're Looking For\nRequired: Systems building experience\nYou've designed and built complex systems-not just deployed or operated them. Examples:\nKernel subsystems, device drivers, or OS-level components\nDistributed storage, databases, or coordination systems\nRuntimes, profilers, or performance tooling\nNetwork stacks, protocols, or high-performance I/O systems\nLarge-scale infrastructure at the systems layer\nCore technical skills:\nStrong C/C++ in systems contexts \nDeep understanding of concurrency, memory models.\nExperience reasoning about distributed system behavior: consistency, ordering, partial failures\nComfortable reading and modifying large, unfamiliar codebases\nNice to have: \nGPU programming (CUDA) or GPU systems experience\nHigh-performance networking (RDMA, InfiniBand)\nML framework or runtime internals\nCluster scheduling or orchestration systems\nWe believe strong systems engineers pick up domain-specific tools quickly. We value your ability to reason about complex systems over checkbox familiarity with our specific stack.\nEnjoy\nChallenging projects.\nA friendly and inclusive workplace culture.\nCompetitive compensation.\nA great benefits package.\nCatered lunch.\nCompensation for this position will vary based on the skills and experience you bring, as well as internal equity considerations. For candidates hired at the posted level, the expected base salary range is $150,000 - $210,000. In addition to cash compensation, this role is eligible to participate in thecompany’s equity program, which may include stock options granted in accordance with the company’s equity plan and subject to approval and applicable vesting schedules.\nClockwork Systems is an equal opportunity employer. We are committed to building world-class teams by welcoming bright, passionate individuals from all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, religion, age, sex, sexual orientation, gender identity or expression, national origin, disability, or protected veteran status. 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