Manager, CUDA Driver

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $224,000–$356,500 / yr
Employment: Full-time
Posted: 4 days ago
Freshness: Confirmed live yesterday
Closes: Dec 20, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $207k

This role $290k

$143k $379k

below market most similar roles pay here above market

This role pays more than 96% of similar roles. Most pay $170,954–$243,825 — the blue band above. At the midpoint, this role pays about $290k versus about $207k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1472 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1109 roles with salary data.

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At a glance

TL;DR · Manager, CUDA Driver

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The Manager, CUDA Driver will lead a team of system software engineers within the CUDA Driver team to design and build CUDA for current and future hardware architectures. This role involves establishing team objectives, mentoring members, and managing performance while driving the CUDA roadmap and feature adoption. Daily responsibilities include monitoring execution, prioritizing work, and implementing process improvements. The position requires hands-on C programming, debugging skills, and strong system software fundamentals. Candidates should possess an understanding of computer architecture, memory subsystems, and GPU programming APIs like CUDA, OpenCL, OpenGL, or Vulkan. The work focuses on the CUDA Driver and Runtime APIs, specifically addressing the memory model to ensure performant and efficient memory allocation, movement, and access across single-node and multi-node hardware environments.

Skills

CUDA C GPU Programming Computer Architecture Distributed Systems PyTorch TensorFlow vLLM OpenCL OpenGL Vulkan System Software Debugging

What you'll do

Lead a team of system software engineers to design and build CUDA for current and future hardware architectures.
Define and drive the CUDA roadmap through multi-functional engagement with teams across the company.
Contribute to the design of new CUDA features and drive the adoption of new functionality.
Establish team objectives, prioritize incoming work, and manage individual team member performance.
Mentor team members and provide guidance on technical and professional development.
Monitor team execution and identify opportunities for process improvements.
Implement identified process improvements to enhance team efficiency and output.

What we're looking for

Experience in the software industry.
3+ years of management experience.
Bachelor's, Master's, or Ph.D. in Computer Science, Computer Engineering, or a related field (or equivalent experience).
Strong system software fundamentals with hands-on C programming and debugging skills.
Ability to manage team execution towards project deliverables in environments with competing priorities.
In-depth understanding of computer architecture and memory subsystems (preferred).
Experience implementing or using GPU programming APIs such as CUDA, OpenCL, OpenGL, or Vulkan (preferred).
Background with distributed systems, high-performance clusters, or Deep Learning frameworks (preferred).

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