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NVIDIA

Designs the chips and software that power AI

Technical Program Manager - Autonomous Vehicles

Program ManagementConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A Bachelor of Science or Master of Science in Computer Science or Electrical Engineering, or equivalent experience.
  • At least 4 years of experience leading a team.
  • At least 8 years of overall relevant experience.
  • Proven experience in automotive, perception, path planning, robotics, and/or artificial intelligence.
  • Ability to collaborate on global projects across teams and time zones.

Responsibilities

  • Own the delivery roadmap and health of autonomy software programs, aligning execution with vehicle programs and customer timelines.
  • Lead and grow a team of experienced technical program managers, hire talent, and guide each person's professional development.
  • Personally lead critical and technically demanding programs, contributing to design reviews, integration planning, and issue investigations to identify root causes, challenge assumptions, and drive decisions.
  • Partner with program, product, and engineering leaders to turn strategy and ambiguous goals into executable plans with defined scope, milestones, accountable owners, and measurable outcomes.
  • Establish and run program governance, including planning, execution tracking, risk management, and reporting.
  • Drive cross-functional delivery of software features across engineering, test and validation, regulatory, and customer teams, resolving complex interdependencies and systemic risks.
  • Build partnerships with leaders across software, testing, regulatory affairs, and vehicle programs.
  • Serve as the primary escalation point and senior representative in cross-functional and executive forums, providing concise updates and recommendations on technical and regulatory risks.

Desired Qualifications

  • Proven experience leading end-to-end development of advanced driver-assistance systems or self-driving features.
  • Experience as a software engineer, software quality assurance professional, or systems engineer.
  • Experience in a fast-paced automotive original equipment manufacturer or supplier.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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