Manager, CUDA Driver

About the role

We are looking for a software engineering manager with strong leadership and mentoring skills to join the CUDA Driver team. The team designs the CUDA programming model, exposes it through the CUDA Driver & CUDA Runtime APIs, and implements the associated functionality. The CUDA Driver and its programming model serve as the foundation for NVIDIA’s CUDA‑X software stack and compute platform, focusing on the memory model – how to allocate, move, and access memory efficiently across single‑node and multi‑node hardware.

Responsibilities

• Lead a team of system software engineers to design and build CUDA for current and future hardware architectures.
• Engage multi‑functionally with teams across NVIDIA to define and drive CUDA’s roadmap.
• Contribute to CUDA feature design and drive adoption of new CUDA functionality.
• Establish team objectives, prioritize incoming work, mentor team members, and manage team performance.
• Monitor team execution, identify opportunities for process improvement, and take the lead on implementing any identified improvements.

Requirements

• 8+ overall years of experience in the software industry with 3+ years of management experience.
• Bachelors, Masters, or Ph.D. or equivalent experience in Computer Science, Computer Engineering, or a related field.
• Strong system software fundamentals, hands‑on C programming and debugging skills.
• Ability to manage a team’s execution towards project deliverables, particularly in environments with competing priorities.

Skills

• In‑depth understanding of computer architecture and memory subsystems.
• Experience implementing or directly using GPU programming APIs such as CUDA, OpenCL, OpenGL, or Vulkan.
• Background with distributed systems or high‑performance clusters.
• Experience with Deep Learning frameworks such as PyTorch, TensorFlow, or vLLM.

Benefits

Eligible for equity and benefits.

Pay

The base salary range is $224,000 USD – $356,500 USD for Level 3 and $272,000 USD – $431,250 USD for Level 4, based on location, experience, and the pay of employees in similar positions.