Senior Systems Software Engineer, CUDA and AI HW Profiler

NVIDIA is hiring a Senior Systems Software Engineer, CUDA and AI HW Profiler in Austin, United States. It pays $152k-$242k a year and Level rates it ; you can apply on Level.

Level's read on this job

Builds AI ●●●● is how Level rates this software engineer role: the job is building AI systems.
The posting mentions CUDA, C and Nvidia Nsight Compute among its tools and skills.
Level classes it as a senior role.
NVIDIA has 2,700+ other open roles on Level.
This posting went up in the last few days.

AI in this role

Design and develop GPU performance profiling tools focused on AI applications and CUDA workloads at NVIDIA.

cudacnvidia-nsight-compute

software-engineeringgpuperformance-profilingai-hardware

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 a diverse, 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.

NVIDIA Nsight Compute helps CUDA engineers around the world to innovate in Artificial Intelligence (AI) and High Performance Computing. Join our team and develop groundbreaking performance tools for GPUs that cater to both newcomers and top-tier CUDA experts. Your contributions will be key in crafting the future of our profiling tools and helping engineers harness the full power of GPU technology for tomorrow’s breakthroughs!

What you'll be doing:

Design and implement innovative features for our GPU performance profiling tools with a focus on AI applications.
Apply your own knowledge and skills to build tools that are instantly used by CUDA developers all over the world.
Collaborate and interact with other teams within NVIDIA, including compiler team as well as the CUDA driver team, to influence and design new features from the bottom up.

What we need to see:

5+ years proven experience in software engineering with a focus on performance tools.
B.S. EE/CS (or equivalent experience).
Strong programming skills in C++.
Existing knowledge of GPU hardware and/or motivated to learn.

Ways to stand out from the crowd:

Expertise in CUDA kernel programming and profiling.
Knowledgeable in parsing DWARF
Highly motivated to apply your knowledge and eager to learn new skills in a fast-paced environment.
Outstanding interpersonal skills and the ability to collaborate effectively as part of a dynamic team.

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/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 24, 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

Senior Systems Software Engineer, CUDA and AI HW Profiler at NVIDIA rates 90 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

Senior Systems Software Engineer, CUDA and AI HW Profiler is an open job at NVIDIA.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $152k-$242k a year.
The role is based in US, TX, Austin.
The job was posted on October 20, 2026.
Seniority: senior.
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

Software EngineeringGPUPerformance ProfilingAI HardwareCUDACNvidia Nsight Compute

Also common in software engineer jobs at this level

Python LLM AWS Machine learning AI agents Kubernetes

Pay

This job starts at: $152k
Typical software engineer job: $168k

This posting starts 10% below the typical software engineer job. See software engineer jobs

Questions you could be asked

Tell me about a project where software engineering was part of your work. What did you do?
Tell me about a project where gpu was part of your work. What did you do?
Tell me about a project where performance profiling was part of your work. What did you do?
Tell me about a project where ai hardware was part of your work. What did you do?
Walk me through how you've used CUDA in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Software Engineering, GPU, Performance Profiling, AI Hardware, and CUDA. 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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