NVIDIA Logo

NVIDIA

Open Source Platform Architect

Reposted 6 Days Ago
In-Office or Remote
Hiring Remotely in CA, USA
168K-270K Annually
Senior level
In-Office or Remote
Hiring Remotely in CA, USA
168K-270K Annually
Senior level
Own and evolve NVIDIA’s internal developer platform for measuring, tracking, and reporting open-source readiness across DSX OS projects. Lead the product roadmap, production reliability, automation, self-service onboarding, scoring, dashboards, and feedback loops. Replace manual reviews with dependable tooling and ensure data integrity. The role requires strong software engineering, production ownership, experience with agentic coding tools, trusted reporting, and end-to-end product leadership.
The summary above was generated by AI

For more than 25 years, NVIDIA has driven innovation in computer graphics, PC gaming, and accelerated computing. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re harnessing the boundless possibilities of AI to build the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.


DSX OS is NVIDIA's open source foundation for AI infrastructure. It is a growing portfolio of engineering teams building in the open. Every project in that portfolio needs to meet a shared bar for open-source readiness: code hygiene, governance, community health. Today, that's measured by hand, project by project. This role owns an internal product that changes that to a platform that scores, tracks, and reports on readiness across the DSX OS portfolio, and the roadmap that takes it from an internal utility to the definition of what "open source ready" means for DSX OS.


What you'll be doing:

  • 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.
  • Automate scoring. Replace manual review-fix-recheck loops with tooling, so the portfolio scales through automation instead of added effort. Self-serve integration.
  • Build scoring into onboarding and workshop experiences. This lets participants get real-time feedback on their own project instead of waiting for manual review. It increases how many teams a single event can support.
  • Engineering team feedback loop. Work directly with the project teams using the platform, capture friction signals, and feed them back into the product instead of letting issues pile up in a backlog.
  • Readiness tracking and reporting. Automate the generation and tracking of per-project readiness plans so status, blockers, and progress are transparent to leadership without manual assembly.

What we need to see:

  • 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

Ways to stand out from the crowd:

  • Built or operated a rubric-based scoring or compliance system — quality gates, readiness checks, policy-as-code — where the output has to be defensible enough for people to act on it
  • Experience using LLMs within an evaluation pipeline (LLM-as-judge, qualitative signal assessment at scale) rather than only deterministic pass/fail checks
  • Designed a metric or signal taxonomy from scratch — deciding what to measure, how to weight it, and how to keep a single score relevant as the system it measures evolves
  • Built a tool that abstracts over multiple backends or platforms (e.g., supporting both GitHub and GitLab) so it isn't locked to one provider's API
  • Experience with GitOps-style automation — automated checks that run against every repo or PR or equivalent experience without a human in the loop

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you consider your future, explore what we can provide for you and your family at www.nvidiabenefits.com/ 

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
168,000 USD – 270,250 USD for Level 4; and 200,000 USD – 322,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Similar Jobs

Yesterday
Remote or Hybrid
United States
69K-114K Annually
Entry level
69K-114K Annually
Entry level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Supports Pfizer CentreOne’s inside sales and marketing activities by reviewing and routing marketing-qualified leads, executing outreach sequences, documenting activity in Salesforce, and assisting with campaigns, content, meetings, reporting, and marketing projects. The role develops commercial expertise across marketing, inside sales, and business development while progressing leads toward initial meetings and BD handoff.
Top Skills: HubspotExcelMicrosoft OutlookMicrosoft PowerpointMicrosoft SharepointMicrosoft TeamsMicrosoft WordSalesforce
Yesterday
In-Office or Remote
United States
177K-294K Annually
Senior level
177K-294K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads go-to-market excellence for specialty-care patient engagement programs across pharmaceutical brands. Translates strategy into launch plans, targeting models, channel and field execution, compliant content operations, training, governance, and performance dashboards. Partners with Marketing, Patient Solutions, Legal, Compliance, Medical, Sales, and other functions to improve program productivity, accelerate review cycles, and establish data-backed feedback loops. Requires significant pharmaceutical experience, matrix leadership, strategic planning, and complex program-management expertise.
Top Skills: AmplifyCentris
Yesterday
Remote or Hybrid
306K-381K Annually
Senior level
306K-381K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Leads applied AI research and development for foundation models and large-scale machine learning systems. Partners with data scientists, engineers, product managers, and academic researchers to define research directions, train and evaluate models, optimize inference and training, and deploy AI capabilities into products. Mentors applied scientists and managers, represents the organization externally, and translates advanced research into scalable customer experiences.
Top Skills: Aws UltraclustersCloud ComputingDeepspeedDglGpu ClustersHugging FaceLightningNemoPyTorchPytorch Geometric

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account