Nvidia

Senior Technical Program Manager, AI Inference

2 Locations

Found: Today

NVIDIA’s AI Platform Inference team builds the inference technology that powers AI applications worldwide. We’re hiring a Senior Technical Program Manager to lead critical programs across software, hardware, and tooling — helping our engineering teams move from roadmap to reality with speed and precision. Leading inference programs at NVIDIA means owning the full program lifecycle — from initial planning through delivery. We value clear thinking, strong execution, and people who thrive in technically complex environments where no two days look the same.

What You’ll Be Doing:

  • Drive planning, scheduling, dependency tracking, and executive reporting across multiple concurrent inference programs.
  • Partner with hardware and software engineering leads to align library development with new and upcoming hardware timelines.
  • Coach teams on agile practices and run the rituals that keep programs on track.
  • Build and maintain metrics that surface risks early and support decisions with real data.
  • Communicate program status and technical context clearly to engineering teams and senior leadership alike.
  • Align global, cross-disciplinary teams spanning hardware, software, and product.
  • Identify process gaps and implement improvements that increase delivery quality and team efficiency.
  • Moderate complex technical discussions and drive them to clear, documented conclusions.

What We Need to See:

  • BS degree in Computer Science, Artificial Intelligence, or equivalent experience plus 10 years of experience leading global technical programs.
  • Solid knowledge of software engineering standard methodologies, hardware bring-up processes, and enterprise quality standards.
  • Proficiency with Scaled Agile frameworks and program tracking tools.
  • Demonstrated ability to resolve resource conflicts, unblock teams, and drive alignment at every level of the organization.
  • Clear, compelling communication skills across both technical and business audiences.

Ways to Stand Out from the crowd:

  • Proven experience in machine learning, deep learning, GPU technology, or AI infrastructure.
  • Experience shipping production AI software or co-managing software-hardware programs end to end.
  • A record of building scalable program management practices in growing engineering organizations.
  • Mentorship instincts — the kind of person who invests in the teams around them.
  • Familiarity with open-source inference frameworks or model optimization tooling.

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 – 258,750 USD for Level 4; and 200,000 USD – 322,000 USD for Level 5.

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