System Software Engineer - GPU Profiling

Sorry, this job was removed at 10:09 a.m. (CST) on Tuesday, Nov 04, 2025
Be an Early Applicant
2 Locations
In-Office
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role

At NVIDIA, we build groundbreaking products for the following sectors: Deep Learning, High Performance Computing, Gaming, VR, and Automotive. See your efforts in action as developers use your tools to debug, profile and analyze the performance of their systems/applications using the low-level library that you helped to craft as a member of the GPU Foundations Developer Tools team! Innovate as you develop the performance analysis capabilities of NVIDIA hardware along with the Nsight tools and the foundation library to support next generation accelerated computing at datacenter scale.

As a system software engineer in the Developer Tools group, you will be developing software that empowers GPU application developers to build outstanding applications that are recognized world-wide. We are seeking a motivated Software Engineer to join our team and contribute to the performance triage development and co-design of our software libraries in collaboration with our Hardware Architecture team. Join our team and gain exciting opportunities to work hands-on at every layer of NVIDIA's outstanding technology.

What you will be doing:
  • Partner with multi-disciplinary teams to design, implement, and verify performance metrics for NVIDIA GPUs

  • Work on developing and improving methodologies for profiling data collection from GPUs

  • Define, invent, and improve our GPU profiling library with new features to allow NVIDIA's customers to extract the best performance out of their applications

  • Read and understand HW specs to design solutions based on it

  • Work on software unit level tests and framework ensuring the quality of the product

  • Work on supporting a variety of platforms ranging from super-computers to embedded systems

What we need to see:
  • B.Tech. EE/CS or equivalent with 4+ years of experience, or M.Tech. with 2+ years of experience, or Ph.D.

  • Strong programming ability in C, C++, Python with proficiency in Data Structures and Algorithms

  • Solid understanding of Computer Architecture (e.g. x86, ARM CPUs, GPUs) and Operating System concepts

  • Knowledge of SW design principles, as that's a key as we scale!

Ways to stand out from the crowd:
  • Experience in Device Drivers or System Software development

  • Knowledge of GPU APIs such as CUDA, OpenCL, OpenGL, Direct3D, Vulkan

  • Prior experience authoring developer tools, particularly for GPUs

  • Experience in performance analysis of GPU applications

  • Ability to read and write in Assembly language, especially for multi-processor architectures

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most dedicated and hard-working people in the world working with us. If the work described above excites you and you are up to the challenge, we want to hear from you. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people in multiple disciplines to help us accelerate the next wave of computing.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity, 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, disability status or any other characteristic protected by law.

Similar Jobs

NVIDIA Logo NVIDIA

Software Engineer

Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
In-Office
2 Locations
21960 Employees

Mondelēz International Logo Mondelēz International

Process & Pay Expert

Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Hybrid
2 Locations
90000 Employees
3K-3K Annually

Mondelēz International Logo Mondelēz International

Manager, Change Management

Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Hybrid
2 Locations
90000 Employees

Mondelēz International Logo Mondelēz International

Web Engineer

Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Hybrid
Mumbai, Maharashtra, IND
90000 Employees
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 Companies Hiring

Credal.ai Thumbnail
Software • Security • Productivity • Machine Learning • Artificial Intelligence
Brooklyn, NY
Standard Template Labs Thumbnail
Software • Information Technology • Artificial Intelligence
New York, NY
10 Employees
Scotch Thumbnail
Software • Retail • Payments • Fintech • eCommerce • Artificial Intelligence • Analytics
US
25 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account