Senior Technical Program Manager - Tegra

Posted 2 Days Ago
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Santa Clara, CA, USA
In-Office
136K-276K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead end-to-end Tegra diagnostic software planning and execution across the SoC silicon lifecycle, including pre-silicon development and validation, silicon and platform bring-up, and productization. Coordinate cross-functional teams, schedules, milestones, dependencies, technical activities, and software lifecycle deliverables across global locations. Partner with product design teams to prioritize and implement custom bring-up requirements for embedded, automotive, robotics, autonomous machine, and data center platforms.
Summary Generated by Built In

NVIDIA is seeking an experienced SW project management leader to help us define, build and complete end-to-end solution. It covers from chip  entire silicon life cycle, for Embedded, Automotive and DataCenter.

Today NVIDIA is building a platform and solutions for Robotics, Autonomous Machines and DataCenter making it a great time to join our company and this team! We are looking for a Tegra Diag SW chip manager to help us coordinate and implement software activities for next generation SOC chip & products development. This critical position is part of the core diag team for all SOC chip related activities. Join us!

What you’ll be doing:

  • Lead and execute all aspects of Tegra Diagnostic SW planning and execution - coordinate the Diag POR, pre-silicon development, pre-silicon Diag validation, Silicon and Platform bring-up and productization.

  • Identify and drive all technical, logistical related activities including running complex project schedules, removing roadblocks and meeting all silicon and platform milestones.

  • Ensure teams are providing all needed collaterals for the SW Product Life Cycle development process

  • As the focal point, schedule and lead status meetings, handle communication of progress/status within/across all key collaborators & dependencies across multiple geographic locations.

  • Partner closely with product design teams to define, prioritize, and execute bring-up of their custom requirements.

What we need to see:

  • Bachelors or master’s degree in computer/Electronics engineering or related field (or equivalent experience)

  • 8+ overall years of proven experience in related areas

  • Deep understanding of the SW development life cycle

  • Proven SW Technical program management background in a matrix organization

  • Strong understanding of systems architecture: CPU, memory, buses and interconnects, Power Management, Operating Systems and device drivers

Ways to stand out from the crowd:

  • Proven track record in leading SW for SOCs and Platform bring up

  • Experience in Pre-Silicon/Post-Silicon bring-up of complex SoC, and Platform

  • Experience in design and development of Kernel, System Software or drivers, or diagnostic software

  • Strong understanding of silicon and platform validation, characterization process, SOC micro-architecture, platform architecture

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 4, and 176,000 USD - 276,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 1, 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.

Skills Required

  • Bachelor's or master's degree in computer engineering, electronics engineering, a related field, or equivalent experience
  • 8 or more years of overall experience in related areas
  • Deep understanding of the software development lifecycle
  • Proven software technical program management experience in a matrix organization
  • Strong understanding of systems architecture, including CPU, memory, buses and interconnects, power management, operating systems, and device drivers
  • Experience leading software for SoCs and platform bring-up
  • Experience with pre-silicon and post-silicon bring-up of complex SoCs and platforms
  • Experience designing or developing kernels, system software, drivers, or diagnostic software
  • Strong understanding of silicon and platform validation, characterization processes, SoC microarchitecture, and platform architecture

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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