NVIDIA Logo

NVIDIA

Manager, Systems Software Engineering - GPU

Posted 14 Hours Ago
In-Office or Remote
2 Locations
Senior level
In-Office or Remote
2 Locations
Senior level
Manage a multidisciplinary engineering team responsible for GSP firmware reliability, resiliency, field debugging, pre-silicon readiness, release execution, validation, and quality metrics. Partner with technical leaders on architecture, prioritization, and delivery while driving incident response, blocker resolution, test coverage, and robust GPU driver software releases across product lines.
The summary above was generated by AI

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/

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:
184,000 USD – 287,500 USD for Level 2; and 224,000 USD – 356,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 8, 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.

HQ

NVIDIA Santa Clara, California, USA Office

2701 San Tomas Expressway, Santa Clara, CA, United States, Santa Clara

NVIDIA San Francisco, California, USA Office

San Francisco, United States

NVIDIA San Jose, California, USA Office

San Jose, United States

Similar Jobs

3 Minutes Ago
Remote or Hybrid
US
89K-110K Annually
Entry level
89K-110K Annually
Entry level
HR Tech • Information Technology • Professional Services • Sales • Software
Manage a portfolio of mid-market SaaS accounts focused on product adoption, usage, retention, and customer satisfaction. Build account relationship frameworks, conduct status calls and business reviews, maintain account plans, assess customer health, mitigate churn, and identify growth opportunities. Act as a trusted advisor and customer advocate while collaborating with Product, Development, Marketing, and Sales. Meet net retention and CSAT/NPS goals through data-driven planning and execution.
Top Skills: AsanaChurnzeroHrisSaaSSalesforce
17 Minutes Ago
In-Office or Remote
2 Locations
200K-290K Annually
Expert/Leader
200K-290K Annually
Expert/Leader
Artificial Intelligence • Software
Own the strategy and roadmap for Fieldguide’s corporate internal audit product line. Build enterprise-grade AI agents supporting the full audit lifecycle, from planning and risk assessment through execution and reporting. Partner with customer success, sales, marketing, and engineering to gather feedback, communicate strategy, and drive adoption. Engage directly with Chief Audit Executives and internal audit leaders to translate regulated compliance workflows into product requirements.
Top Skills: Agent ArchitectureAi AgentsAi EvaluationsLlm
17 Minutes Ago
In-Office or Remote
2 Locations
205K-275K Annually
Senior level
205K-275K Annually
Senior level
Artificial Intelligence • Software
Lead the strategy and development of AI-powered tax agents for CPA firms and corporate tax departments. Partner with engineers, designers, customers, sales, marketing, and customer success to define roadmaps, launch zero-to-one products, improve existing features, and drive adoption across the tax lifecycle, including data gathering, workpaper preparation, compliance, provision, research, and review.
Top Skills: AIAi Agents

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account