NVIDIA
Engineering Manager, Graphics System Software
$224K–$431K
US, CA, Santa Clara +1 · Manager · Full-time · Posted Oct 23, 2026
- Location
- US, CA, Santa Clara
US, NC, Durham - Experience
- 8+ overall years of relevant industry experience, including 3+ years of software engineering management experience.
- Education
- Bachelor’s or master’s degree in Computer Science, Computer Engineering, or a related field, or equivalent experience.
About the job
Leads a team developing workstation graphics drivers and system software, enabling new GPU architectures and improving performance, reliability, and engineering practices.
What you'll do
- Manage, mentor, hire, and develop engineers responsible for graphics driver development and GPU architecture enablement.
- Guide driver design, implementation, optimization, validation, and issue resolution from hardware bring-up through production release.
- Set technical priorities and partner across hardware and software teams; advance automated validation and AI-assisted development.
What they ask for
- Bachelor’s or master’s degree in Computer Science, Computer Engineering, or a related field, or equivalent experience.
- 8+ overall years of relevant industry experience, including 3+ years of software engineering management experience delivering complex system software.
- Strong understanding of computer architecture, operating system fundamentals, and hardware–software interactions; background in graphics drivers, runtimes, or GPU system software.
- Strong C/C++ programming skills; practical experience with AI-assisted development tools and coding agents.
Nice to have
- Deep knowledge of graphics driver architecture or experience enabling new GPU architectures.
- Experience with workstation graphics or Linux graphics software, or improving graphics performance and driver reliability.
Pay
224,000 USD - 356,500 USD base salary; 272,000 USD - 431,250 USD base salary
Tools
C/C++, Vulkan, OpenGL, DirectX, Metal
AI focus
Use AI-assisted development tools and coding agents; guide engineers in delegating work to coding agents and reviewing outputs for correctness, quality, and maintainability.
Model-written summary · the original posting is authoritative