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NVIDIA

Manager, Systems Software Engineering - GPU

NVIDIA is hiring a Manager, Systems Software Engineering - GPU in Santa Clara, United States. Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • On Level's scale, this role is Uses AI ●●○○: an ordinary role that requires AI tools.
  • Level classifies it as a mid-level role.
  • Level lists 2,700+ other open roles at NVIDIA.
  • The role was posted in the last few days.

AI in this role

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in an inclusive, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.


This role is pivotal. You will manage the team responsible for maintaining the reliability, robustness, and pre-silicon readiness of GSP firmware. You will ensure flawless execution across our product lines. If you thrive in a dynamic environment and have a passion for modern technology, this is the opportunity for you!


What you'll be doing:

  • Lead, mentor, and develop a multidisciplinary engineering team that owns GSP firmware stability, field debuggability, and resiliency, along with pre-silicon readiness for upcoming chips, from roadmap and architecture through development and validation.
  • Own release execution for GSP firmware across concurrent release trains, dedication tracking, blocker burndown, and go/no-go readiness.
  • Partner with the technical leads and architects, who own technical direction while you own team, execution, and delivery.
  • Drive measurable improvement in test coverage and stability metrics, reported monthly.
  • Coordinate architectural alignment, project scoping, prioritization, and execution accountability, ensuring that all projects are delivered on time, within scope, and to the highest quality standards.
  • Champion the delivery of robust, high-quality GPU driver software by establishing thorough validation protocols, monitoring key performance indicators, and proactively addressing technical challenges.

What we need to see:

  • Bachelors or master’s degree in Computer Science/ Electrical / Electronic engineering or related field (or equivalent experience)
  • 6+ overall years of proven experience in related areas with at least 3+ years of management experience
  • Strong systems-software background – hands-on C programming, debugging skills, kernel, driver, firmware, or embedded.
  • Demonstrated ownership of release processes and quality metrics in a shipping product.
  • Experience managing incident and critical issue response with customer exposure.

Ways to stand out from the crowd:

  • Proven expertise in GPU driver development and validation.
  • Experience leading distributed engineering teams across multiple time zones and regions.
  • Outstanding leadership skills with a history of successfully implementing complex engineering projects.
  • Collaboration and communication skills, able to effectively partner with collaborators at all levels.
  • Experience bringing up software on pre-silicon platforms such as simulation or emulation.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 7, 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

Manager, Systems Software Engineering - GPU at NVIDIA rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  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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