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NVIDIA

Senior Technical Program Manager, Software Compute Platform

NVIDIA is hiring a Senior Technical Program Manager, Software Compute Platform in Santa Clara, United States. It pays $168k-$259k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • Level classes it as a senior role.
  • NVIDIA has 2,600+ other open roles on Level.

AI in this role

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

  • 10+ 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

  • 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 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.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 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.

How we rate this

Senior Technical Program Manager, Software Compute Platform at NVIDIA rates 32 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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