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.
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 Science, Electrical Engineering, Electronic Engineering, or a related field, or equivalent experience
- 6+ years of overall experience in related areas
- 3+ years of management experience
- Hands-on C programming and systems-software experience
- Debugging experience with kernels, drivers, firmware, or embedded systems
- Experience owning release processes and quality metrics for a shipping product
- Experience managing incidents and critical issue response with customer exposure
- GPU driver development and validation expertise
- Experience leading distributed engineering teams across multiple time zones and regions
- Leadership experience implementing complex engineering projects
- Experience bringing up software on pre-silicon simulation or emulation platforms
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.
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Equity Value & Accessibility — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
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Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
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Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
NVIDIA Insights
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.”
