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Product Engineer, Developer Platform

🕒 October 8

🏄 California – Remote

infoinfo

💵 $168k - $270.3k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🏗️ Platform Engineer

Where this job comes from

Posted on NVIDIA's careers page, not through a job board

First seen by Remote Rocketship October 8

Still open on NVIDIA's site. Checked 1 hour ago.

Logo of NVIDIA

NVIDIA

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Lead the platform as production infrastructure • Maintain, harden, and evolve the platform from a measurement tool into infrastructure used by every DSX OS project • Automate scoring and replace manual review-fix-recheck loops with tooling • Enable self-serve integration • Build scoring into onboarding and workshop experiences for real-time project feedback • Work directly with project teams using the platform and feed friction signals back into the product • Automate generation and tracking of per-project readiness plans • Make status, blockers, and progress transparent to leadership • Own the roadmap for evolving the internal utility into the definition of open-source readiness for DSX OS

🎯 Requirements

• 8+ years of relevant experience • A bachelor’s degree or equivalent experience • Experience leading a software product or internal platform end-to-end • Strong software engineering skills • Track record of turning manual, error-prone processes into reliable automation • Hands-on experience with agentic coding tools such as Claude Code, Copilot, or Cursor as part of an actual engineering workflow • Experience running a production system, including on-call, incident response, or ownership of uptime and reliability • Experience building reporting or dashboards trusted by leadership and partners • Ownership of production-system dependability and data integrity • NVIDIA uses AI tools in its recruiting processes

🏖️ Benefits

• Competitive salaries • Comprehensive benefits package • Equity • Benefits for you and your family

Apply Now

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