Director, Platform Quality Engineering

NVIDIASanta Clara, CA
1d

About The Position

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define 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. We are seeking a Director of Platform Quality Engineering for NVIDIA Omniverse, the developer platform to enable Physical AI and digital twins. This role requires strong leadership to define and execute a comprehensive quality strategy, manage and mentor a high-performing team, and collaborate effectively across engineering, product, and QA organizations. The ideal candidate brings deep expertise in quality engineering principles, test-driven development, first-principles analysis, automated testing frameworks, and CI/CD pipelines, along with a proven track record of delivering high-quality, large-scale developer platforms related to Physical AI.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience)
  • 15+ overall years of experience with 6+ years of managing and leading platforms and quality engineering teams, preferably in a developer platform context.
  • Demonstrated experience driving significant improvements in system reliability, performance, or operational efficiency for a large-scale developer platform
  • Strong understanding of modern CI/CD practices and tools.
  • Excellent communication, interpersonal, and negotiation skills.
  • Working experience in AI-assisted automation to improve the production testing framework and software quality
  • Familiarity with NVIDIA’s platform strategy, especially around Physical AI
  • Ability to evaluate and test our developer platform as a developer persona

Nice To Haves

  • Experience working in digital twin and robotics-related fields is a plus!

Responsibilities

  • Define the platform organization's overall quality strategy!
  • Drive adoption of standards for quality engineering, including test automation, performance testing, security testing, and chaos engineering.
  • Establish clear quality metrics to monitor and communicate platform health.
  • Lead all aspects of the design, development, and maintenance of robust and scalable automated testing frameworks and tools.
  • Collaborate with platform architecture and development teams to embed quality principles early in the development lifecycle (shift-left).
  • Drive continuous performance and scalability analysis, proactively identifying and addressing bottlenecks using scientific, first-principles measures.
  • Implement strategies for AI-assisted testing and analysis of code quality
  • Partner closely with Engineering Leads, Product Management, and QA teams to align quality goals with business objectives and product roadmaps.
  • Act as the primary advocate for quality and reliability across the platform organization.
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