Senior Systems Software Engineer, CUDA and AI HW Profiler

Posted 2 Days Ago
2 Locations
In-Office or Remote
152K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design and implement GPU performance profiling tools focused on AI applications. Build features used by CUDA developers, collaborate with NVIDIA compiler and CUDA driver teams, and influence tool design. The role requires strong C++ software engineering experience, GPU hardware knowledge, and familiarity with performance tools, with preferred expertise in CUDA kernel programming, profiling, and DWARF parsing.
Summary Generated by Built In

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.

Skills Required

  • 5+ years of software engineering experience focused on performance tools
  • Bachelor's degree in Electrical Engineering, Computer Science, or equivalent experience
  • Strong programming skills in C++
  • Knowledge of GPU hardware or motivation to learn it
  • Expertise in CUDA kernel programming and profiling
  • Knowledge of parsing DWARF
  • Strong interpersonal and collaboration skills

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

Similar Jobs

SailPoint Logo SailPoint

Customer Success Manager

Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
Remote or Hybrid
United States
2461 Employees
76K-129K Annually

SoFi Logo SoFi

Financial Intelligence Unit Senior Specialist - Crypto

Fintech • Mobile • Software • Financial Services
Easy Apply
Remote or Hybrid
United States
4500 Employees
99K-186K Annually

Engine Logo Engine

Growth Marketing Lead, Spend

Artificial Intelligence • Fintech • Software • Travel
Easy Apply
Remote
United States
1000 Employees
170K-200K Annually

RevenueCat Logo RevenueCat

Senior Partnerships Manager, Product Partnerships

Fintech • Mobile • Payments • Software
Remote
41 Locations
40 Employees

Similar Companies Hiring

Unusual Machines, Inc. Thumbnail
Hardware • Robotics
Orlando, FL
300 Employees
Blee Thumbnail
Artificial Intelligence • Marketing Tech • Software
New York, New York
30 Employees
Vega Thumbnail
Artificial Intelligence • Automotive • Insurance • Transportation
US
65 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account