ZipRecruiter

Log In

1

Gpu Applications Engineer Jobs (NOW HIRING)

Bot Auto

GPU Engineer

Houston, TX · On-site

You would collaborate with software engineers, AI researchers, and hardware specialists to develop ... Experience profiling GPU applications using tools such as NVIDIA Nsight Systems, Nsight Compute, or ...

Bot Auto

GPU Engineer

Houston, TX

You would collaborate with software engineers, AI researchers, and hardware specialists to develop ... Experience profiling GPU applications using tools such as NVIDIA Nsight Systems, Nsight Compute, or ...

Nvidia

GPU Performance Profiling Engineer

Austin, TX · On-site

See your efforts in action as developers profile and analyze the performance of their applications using software and hardware that you helped craft as a member of the GPU Foundations Developer Tools ...

Nvidia

GPU Performance Profiling Engineer

Austin, TX · On-site

See your efforts in action as developers profile and analyze the performance of their applications using software and hardware that you helped craft as a member of the GPU Foundations Developer Tools ...

Nvidia

System Software Engineer, Profiler - GPU

OR · On-site +1

... applications using the low-level libraries that you helped to craft as a member of the GPU ... As a system software engineer in the Developer Tools group, you will be developing software that ...

NextSilicon

HPC Applications Engineer

Minneapolis, MN · On-site +1

We are looking for an experienced Applications Engineer to join the Applications team, with ... CUDA or similar GPU kernel languages * Hands-on experience with one or more AI/ML frameworks, such ...

NextSilicon

HPC Applications Engineer

Minneapolis, MN · On-site

We are looking for an experienced Applications Engineer to join the Applications team, with ... CUDA or similar GPU kernel languages * Hands-on experience with one or more AI/ML frameworks, such ...

next page

Showing results 1-20

All JobsTechnology JobsSoftware JobsSoftware Developer JobsGpu Applications Engineer Jobs

Gpu Applications Engineer information

See salary details

$50.5K

$110.7K

$152K

How much do gpu applications engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for gpu applications engineer in the United States is $110,698.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $135,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Gpu Applications Engineer jobs?

For Gpu Applications Engineer jobs, the most frequently searched job titles are:

Infographic showing various Gpu Applications Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $110,698 per year, or $53.2 per hour.

GPU Performance Profiling Engineer

Austin, TX • On-site

NVIDIA Gruppe
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about NVIDIA Gruppeexternal

Other

Posted 29 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

What you’ll be doing:
  • Analyze hardware/software feature sets for next generation GPU and SoC performance tools.
  • Review next generation chip features for high-quality developer tools support, ensuring observability of critical performance behaviors.
  • Collaborate with developer tools engineers, software library developers, and GPU architects on new features.
  • Prototype new data collection methods to improve GPU dev tools quality and reduce time/cost to market.
  • Refine data collection with NVIDIA’s GPU Architecture and Developer Technology teams.
What we need to see:
  • B.S. EE/CS (or equivalent experience) with 4+ years of experience or MS with 2+ years’ experience, or Ph.D.
  • Demonstrated expertise in the software stack, encompassing C/C++/Python applications and both user-mode and kernel-mode drivers.
  • Proven knowledge of CPU and/or GPU architecture (e.g.: x86, ARM CPUs, GPUs).
  • Solid understanding of hardware pipeline concepts, with a willingness to work at a detailed implementation level.
  • Knowledge of performance analysis concepts, particularly of GPU applications.
  • Proficiency in hardware-software co-design principles and practices.
Ways to stand out from the crowd:
  • Strong programming ability in C, C++, and scripting languages.
  • Strong background in performance analysis tools and performance monitor hardware.
  • Experience in CUDA or GPU programming models.
  • Prior experience authoring developer tools, particularly for GPUs, games, or pro visualization.
  • In-depth experience with profiler tools including CPU, GPU, and networking as well as experience in device driver development.

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.

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.

#J-18808-Ljbffr

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

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.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

View All Nvidia Jobs

Apply