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Open Source Platform Architect

NVIDIA· Engineer, SW
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Hybrid (Santa Clara, CA), Hybrid (Remote)$168k - $270.3kFull-timePosted 2w ago

About the role

NVIDIA Open Source Platform Architect role within DSX OS, focusing on turning an internal readiness utility into a scalable platform that measures, scores, tracks, and reports on open-source readiness across the DSX OS portfolio.

Responsibilities

  • Lead the platform as production infrastructure. Maintain, harden, and evolve it from a measurement tool into the system every DSX OS project runs on — reliability and data quality matter because everything else in the program depends on it.

Qualifications

  • 8+ years of relevant experience and a bachelors degree (or equivalent experience)
  • Experience leading a software product or internal platform end-to-end and making the calls on what gets built, why, and in what order
  • Strong software engineering skills, with a track record of turning manual, error-prone processes into reliable automation
  • Hands-on experience with agentic coding tools (e.g., Claude Code, Copilot, Cursor) as part of your actual engineering workflow, not just casual use
  • Experience running a production system in the real world — on-call, incident response, or otherwise owning uptime and reliability for something people depend on daily
  • Experience building reporting or dashboards that a non-engineering audience (leadership, partners) can trust as a source of truth
  • Ownership mentality for production systems — system dependability and integrity of data fall under your responsibility, not someone else's

Skills

Required:Production infrastructure leadershipAutomation and tooling for scoringOnboarding and workshop integrationProduct feedback loopReadiness tracking and reporting

Benefits

  • Equity and benefits (as referenced in the posting)
  • Competitive salaries and comprehensive benefits package
  • Details at www.nvidiabenefits.com/
Last updated Oct 23, 2026. Interested? Apply on the company site.

About NVIDIA

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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