Manager, CUDA Systems Software

NVIDIA is hiring a Manager, CUDA Systems Software in Santa Clara, United States. It pays $224k-$357k a year and Level rates it ; you can apply on Level.

AI in this role

vllmpytorchtensorflow

We are looking for a software engineering manager with strong leadership and mentoring skills to join the CUDA Driver team! We design the CUDA programming model, expose that programming model through the CUDA Driver & CUDA Runtime APIs, and implement the associated functionality in the CUDA Driver & CUDA Runtime. The CUDA Driver and its programming model serve as the foundation for NVIDIA’s CUDA-X software stack and compute platform. The team primarily works on aspects of the CUDA Driver related to its memory model – how to allocate, move, and access memory in a performant and efficient manner across NVIDIA’s range of hardware offerings, including both single-node and multi-node environments.

What you will be doing:

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.

What we need to see:

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.

Ways to stand out from the crowd:

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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 431,250 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 19, 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.

How we rate this

Manager, CUDA Systems Software at NVIDIA rates 82 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Manager, CUDA Systems Software is an open job at NVIDIA.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $224k-$357k a year.
The role is based in US, CA, Santa Clara.
The job was posted on September 15, 2026.
Seniority: mid.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

vLLMPyTorchTensorFlow

Questions you could be asked

What's a project where you used vLLM hands-on?
Walk me through how you've used PyTorch in your day-to-day work.
What are the limits of TensorFlow that you've run into, and how did you work around them?
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: vLLM, PyTorch, and TensorFlow. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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