Senior Technical Program Manager, Software Compute Platform

Reposted 5 Days Ago
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Santa Clara, CA, USA
In-Office
200K-322K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead end-to-end release management for enterprise Compute Platform software. Coordinate cross-functional teams, manage branching and version control, define release schedules and KPIs, mitigate risks, automate release tooling, and drive continuous improvement in delivery quality and predictability.
Summary Generated by Built In

We are looking for a driven, diligent leader to join our Technical Program Management team for Compute Platform Software. You will work with engineering and product leaders on the planning and execution of programs to develop and publish software enabling new enterprise systems that are at the heart of cross-industry advancement of AI applications. Our work has made major impact in various fields, and is used across leading academic institutions, start-ups, and industry; including the world’s largest Internet companies. We need passionate, hard-working, and creative people to help us reach our engineering goals.

This role is responsible for overseeing the end-to-end release management process – ensuring smooth, timely, and high-quality software releases from design through full production deployment at scale. You will coordinate release activities across multiple teams, aligning incremental breakthroughs with larger production release cycles to ensure consistency and predictability. In this position, you will partner closely with engineering, QA, product management, and operations teams to plan, track, and implement release objectives. You will collect requirements, define release priorities, and maintain detailed release calendars to coordinate multiple parallel efforts. You will develop and continuously improve release management processes — including scheduling, version control, deployment procedures, and post-release validation — to optimize delivery pipelines and reduce release risk. Additionally, you will collaborate with engineering management to refine workflows, streamline approvals, and drive continuous improvement in software delivery efficiency.

What you'll be doing:

  • Collaborate across product and engineering teams, spanning the entire stack, to ensure release readiness and successful delivery of enterprise software while being viewed as a leader across all Business Units

  • Manage software branching strategies, including feature, release, and hotfix branches, to ensure smooth integration, version control, and timely delivery of releases

  • Assess the release-readiness status, anticipate risk, and provide strategies to mitigate risk

  • Develop program schedules and KPIs to measure release health, predictability, and achievements and regularly communicate program status and key issues to senior leadership

  • Utilize coding skills to build or enhance automation scripts, dashboards, and tools that streamline release management and improve delivery efficiency

  • Work with Engineering and QA teams on test plans, execution, reviews, failure analysis and assessing overall quality and risk

  • Work with Customer Program Managers to track and resolve software issues incorporating technical feedback from CSPs and OEMs

  • Identify failures, lead retrospective analysis, and help to develop improvement action plans

What we need to see:

  • Bachelor’s degree in Engineering, Computer Science, or similar field or equivalent experience

  • 12+ years of hands-on experience with software program / release management in tech or related fields

  • Thorough knowledge of software engineering and life cycle principles

  • Ability to think strategically and tactically and to build consensus to make programs successful

  • You should have strong solution focused skills, consistently successful implementing systematic solutions

  • You must have experience influencing decisions and leading teams in a dynamic environment

  • Enthusiastic, responsive and passionate about finding opportunities for process improvement

  • Excellent communications and technical presentation skills as well as being thorough and ability to multitask is important

Ways to stand out from the crowd:

  • Experience on boards and servers in the datacenter space or with productizing enterprise server systems coordinating activities between HW / SW organizations

  • Deep understanding of software engineering principles and enterprise system architecture

  • Skilled in modern programming languages and practical familiarity with efficiency tools and process automation

  • Experience with OSS profiling and vulnerability resolution applying tools like Black Duck or Palamida

  • Previous experience in QA is a plus, providing valuable insight into release validation and quality assurance processes

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 14, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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 degree in Engineering, Computer Science, or similar field or equivalent experience
  • 12+ years of hands-on experience with software program / release management
  • Thorough knowledge of software engineering and life cycle principles
  • Ability to think strategically and tactically and to build consensus
  • Strong solution-focused skills and experience implementing systematic solutions
  • Experience influencing decisions and leading teams in a dynamic environment
  • Enthusiastic, responsive, and passionate about process improvement
  • Excellent communications and technical presentation skills; ability to multitask
  • Experience on boards and servers in the datacenter space or coordinating HW/SW organizations
  • Deep understanding of enterprise system architecture and software engineering principles
  • Skilled in modern programming languages and familiar with process automation/efficiency tools
  • Experience with OSS profiling and vulnerability resolution tools like Black Duck or Palamida
  • Previous experience in QA or release validation processes

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.

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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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