{"id":2202758,"url":"https://alion.io/job/clockwork-senior-software-engineer-torchpass-product-engineering","title":"Senior Software Engineer, TorchPass Product Engineering","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":8,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":130,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Backend","role_family":"Backend","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":230000,"currency":"USD","period":"year","gross":null,"usd_annual":230000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"NCCL","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"SLURM","optional":false}],"status":"live","first_seen_at":"2026-10-09T19:47:59Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-12T17:52:14Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"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, visitwww.clockwork.io.\nAbout the Role\nTorchPass keeps distributed PyTorch training running through hardware and network failures. The Product Engineering team makes it something customers can install, trust, and run on their own clusters.\nWe are looking for an experienced engineer who has turned working infrastructure software into a product that other people can deploy and operate. You will own the parts of TorchPass that customers touch, and you will be one of the engineers they hear from when something does not work.\nThis is a product and deployment role. It does not require GPU runtime, NCCL, or kernel experience.\nWhat You Will Do\nBuild and own the customer-facing surfaces of TorchPass: installation, configuration, and the views that show customers what the product is doing\nKeep product documentation accurate with every release\nWork directly with customers and our solutions engineers during evaluations: read logs, separate product defects from environment issues, and say clearly what happened\nTurn what we learn in the field into fixes, tests, and documentation\nDefine, together with the core engineering team, what TorchPass needs from a customer's cluster and what it guarantees in return\nExtend TorchPass to new schedulers and job launchers as customers need them\nWhat We're Looking For\n4+ years building or operating infrastructure software in production\nYou have taken a system that worked for its authors and made it installable and supportable by people who did not build it\nStrong debugging skills on production systems you did not write\nDeep experience with Kubernetes or Slurm\nStrong Python, and the ability to read and change Go\nYou use AI coding tools well, and you understand and stand behind the code you ship\nYou write documentation that people follow successfully\nYou are comfortable working with customers on technical problems\nA degree in computer science, electrical engineering, or a related field, or equivalent experience\nPreferred\nExperience with GPU clusters or machine learning training infrastructure\nExperience with release engineering: build pipelines, packaging, artifact delivery\nExperience bringing up clusters across more than one cloud provider\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 - $230,000. 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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