1

Nvidia Device Engineer Jobs (NOW HIRING)

Device Engineer

Cedar Rapids, IA · On-site

$79K - $130K/yr

Device Engineer What You'll Be Doing: * Perform Development and Verification for Flight Management ... NVIDIA, NXP, Analog Devices, Texas Instruments, Amazon, Microsoft and Google to name a few. Along ...

Device Engineer

Cedar Rapids, IA · On-site

$79K - $130K/yr

Device Engineer What You'll Be Doing: * Perform Development and Verification for Flight Management ... NVIDIA, NXP, Analog Devices, Texas Instruments, Amazon, Microsoft and Google to name a few. Along ...

Device Engineer

Cedar Rapids, IA · On-site

$79K - $130K/yr

Device Engineer What You'll Be Doing: * Perform Development and Verification for Flight Management ... NVIDIA, NXP, Analog Devices, Texas Instruments, Amazon, Microsoft and Google to name a few. Along ...

Senior Kubernetes Engineer

Dallas, TX · On-site

$107K - $146K/yr

... NVIDIA device plugins, Multi-Instance GPU (MIG) and GPU sharing features into the scheduling layer • Optimising GPU utilisation and job placement through scheduler extensions, such as kube ...

Senior Software Engineer - NVIDIA Warp

Santa Clara, CA · On-site

$143K - $189K/yr

... programming on CPUs and NVIDIA GPUs. Our team develops Warp for computational physics, AI, and ... or device simulation (TCAD), molecular dynamics, or related computational workloads. Examples ...

Senior Software Engineer - NVIDIA Warp

Santa Clara, CA · On-site

$143K - $189K/yr

... programming on CPUs and NVIDIA GPUs. Our team develops Warp for computational physics, AI, and ... or device simulation (TCAD), molecular dynamics, or related computational workloads. Examples ...

Senior Software Engineer - NVIDIA Warp

OR · On-site +1

$122K - $161K/yr

... programming on CPUs and NVIDIA GPUs. Our team develops Warp for computational physics, AI, and ... or device simulation (TCAD), molecular dynamics, or related computational workloads. Examples ...

Senior Kubernetes Engineer

Dallas, TX · On-site

$107K - $145K/yr

Its engineers build critical infrastructure to eliminate friction in scientific research ... Integrating NVIDIA device plugins, Multi-Instance GPU (MIG) and GPU sharing features into the ...

Senior Kubernetes Engineer

Dallas, TX · On-site

$107K - $145K/yr

Its engineers build critical infrastructure to eliminate friction in scientific research ... Integrating NVIDIA device plugins, Multi-Instance GPU (MIG) and GPU sharing features into the ...

next page

Showing results 1-20

Nvidia Device Engineer information

What are popular job titles related to Nvidia Device Engineer jobs?

For Nvidia Device Engineer jobs, the most frequently searched job titles are:

Infographic showing various Nvidia Device Engineer job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Quality Assurance Software Developer Engineer in Test, GeForce GPU

Santa Clara, CA

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

$58.75 - $75.75/hr

Full-time

Re-posted 21 days ago


Key responsibilities

  • Design and implement automated tests for NVIDIA software products on Windows and Linux operating systems.

  • Develop tools and applications in Python, C, or C++ to automate and optimize testing workflows and accelerate delivery.

  • Execute manual and automated tests, identify and report defects, and analyze code coverage to improve software quality.


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

Are you passionate about inspiring change, building data driven tools to improve software quality, and ensuring customers have the best experience. If so, we have a phenomenal opportunity for you. NVIDIA is seeking a creative, and hands-on software engineer with a test to failure approach who is a quick learner, can understand software and hardware specifications, build reliable tests and tools C++/C#/Python to improve quality and accelerate delivery of GeForce NVIDIA products.

The successful candidate will demonstrate substantial experience with AI technologies for automation of test cases, as well as an in-depth understanding of both Windows and Linux operating systems. What you'll be doing: As a Software Development Engineer in Test, you will take part in technical design and implementation of tests for NVIDIA software products with the goal to identify defects early in the software development lifecycle. You will also build tools that accelerate execution workflows for the organization.

In this role you can expect to: Design and implement automated tests incorporating AI technologies for NVIDIA's device driver software and SDKs on various Windows and Linux operating systems. Develop automated end to end tests for NVIDIA device driver and SDKs on windows platform. Execute manual and automated tests, identify, and report defects.

Measure code coverage, analyze and drive code coverage improvements. Develop applications and tools that bring data driven insights to development and test workflows. Build tools/utility/framework in Python / C / C++ which would help automate and optimize the testing workflows in GPU domain.

Write maintainable, reliable, and well detailed code. Debug issues to identify the root cause. Provide peer code reviews including feedback on performance, scalability, and correctness Optimally estimate and prioritize tasks in order to create a realistic delivery schedule and work on challenging technical and process issues.

Generate and test compatibility across a range of products and interfaces. Work closely with leadership to report progress by generating effective and impactful reports What we need to see: B.E./B. Tech degree in Computer Science/IT/Electronics engineering with strong academics or equivalent experience 5+ years of programming experience in Python/C/C++ with experience in applying Object-Oriented Programming concepts

Hands-on knowledge of developing Python scripts with application development concepts like dictionaries, tuples, RegEx, PIP etc. Good experience with using AI development tools for test plans creation, test cases development and test cases automation Experience with testing RESTful APIs and the ability to conduct performance and load testing to ensure the application can handle high traffic and usage. Experience working with databases and storage technologies like SQL and Elasticsearch Good understanding of OS fundamentals, PC Hardware and troubleshooting.

Skillful at debugging issues and have experience using debugging tools like WinDBG/gdb Working knowledge of GPUs devices and technologies like DLSS, Frame Generation, Reflex, CUDA, G-Sync, etc. The ability to collaborate with multiple development teams to gain knowledge and improve test code coverage Ways to stand out from the crowd: Prior project experience with building ML and DL based applications would be a plus Good understanding of testing fundamentals Good problem solving skills (solid logic to apply in isolation and regression of issues found). #SDETSChiring Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

The base salary range is 140,000 USD - 224,250 USD for Level 3, and 168,000 USD - 270,250 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 14, 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.


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