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Commission Nvidia Hardware Engineer Jobs in Oregon

Senior Developer Technology Engineer - AI

OR · On-site +1

$54.50 - $72/hr

Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA. What ...

Senior Performance Compiler Engineer - Triton

OR · On-site +1

$104K - $143K/yr

Investigating the latest and future NVIDIA GPU hardware architecture and programming models. Working on the frontier of AI by understanding advanced algorithms (like attention sinks and MoEs) and ...

NVIDIA's GPUs and SOCs are the world leaders in power, performance, and efficiency. We are ... To this purpose, we are now seeking a hard-working Senior Mask Design Engineer who is committed to ...

Senior Deep Learning Tools Engineer - CUDA Tile

OR · On-site +1

$104K - $143K/yr

NVIDIA is building advanced compiler technologies to accelerate AI workloads, and we are looking ... You will collaborate closely with compiler developers, infrastructure providers, and hardware teams ...

NVIDIA's GPUs and SOCs are the world leaders in power, performance, and efficiency. We are ... To this purpose, we are now seeking a hard-working Senior Mask Design Engineer who is committed to ...

Senior Software Engineer, Graphics Performance

OR · On-site +1

$139K - $172K/yr

Develop and maintain SW technologies targeted at enabling and supporting NVIDIA's GPU hardware on ... A Bachelors or higher degree in electrical engineering, computer science, or computer engineering ...

Software Engineer, Linux Graphics

OR · On-site +1

$139K - $172K/yr

Develop and maintain SW technologies targeted at enabling and supporting NVIDIA's GPU hardware: on ... A Bachelor's or higher degree in electrical engineering, computer science, or computer engineering ...

Senior AI Engineer, High Performance AI

OR · On-site +1

$122K - $161K/yr

... Engineer to build groundbreaking multi-agent systems for the CUDA ecosystem. We build innovative ... You will collaborate closely with internal NVIDIA software and hardware teams to push the latest ...

Senior DL Algorithms Engineer - Inference Performance

OR · On-site +1

$122K - $161K/yr

NVIDIA is seeking senior engineers who are mindful of performance analysis and optimization to help ... If you are unafraid to work across all layers of the hardware/software stack from GPU architecture ...

NVIDIA's GPUs and SOCs are the world leaders in power, performance and efficiency. We are ... To this purpose, we are now seeking a hard-working Senior Package Layout Engineer who is committed ...

We are looking for a Field Applications Engineer. NVIDIA's AI platforms have already made a major ... NVIDIA AI solutions. Solving complex hardware and deployment issues Be a technical specialist on ...

NVIDIA's GPUs and SOCs are the world leaders in power, performance and efficiency. We are ... To this purpose, we are now seeking a hard-working Senior Package Layout Engineer who is committed ...

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 ... Are you a Mask Layout Design Engineer. If yes, We would love to hear from you. We are looking for a ...

Showing results 41-60

Commission Nvidia Hardware Engineer information

What is the difference between Commission Nvidia Hardware Engineer vs Commission Nvidia Software Engineer?

AspectCommission Nvidia Hardware EngineerCommission Nvidia Software Engineer
Required CredentialsBachelor's or higher in Electrical Engineering, Computer Engineering, or related fields; hardware design certificationsBachelor's or higher in Computer Science, Software Engineering, or related fields; software development certifications
Work EnvironmentDesigning and testing hardware components, collaborating with hardware teamsDeveloping, testing, and maintaining software applications, collaborating with software teams
Industry UsageUsed in hardware product development, embedded systems, and chip designUsed in driver development, AI software, and system software for Nvidia products

The main difference between a Commission Nvidia Hardware Engineer and a Commission Nvidia Software Engineer lies in their focus areas. Hardware engineers work on designing and testing physical components, while software engineers develop and maintain software solutions. Both roles require relevant technical credentials and are integral to Nvidia's product development process.

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Infographic showing various Commission Nvidia Hardware Engineer job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 8% Part Time, and 6% Contract. Highlights an 67% Physical, 1% Hybrid, and 32% Remote job distribution.

Senior Developer Technology Engineer - AI

Nvidia

OR • On-site, Remote

$54.50 - $72/hr

Full-time

Posted 6 days ago


Key responsibilities

  • Research and develop techniques to GPU accelerate workloads in deep learning, machine learning, or other AI domains.

  • Perform in-depth analysis and optimization of complex AI and HPC algorithms to ensure optimal performance on CPU and GPU architectures.

  • Publish and present optimization techniques in developer blogs or relevant conferences to engage and educate the Developer community.


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies


Job description

We're currently seeking a Senior Developer Technology Engineer, Artificial Intelligence. Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures. Is it rewarding to investigate, find, and eliminate system bottlenecks to achieve the best possible performance of computer hardware.

Could you be thrilled about an opportunity to partner with the Developer community, working at the forefront of technology breakthroughs that contribute to the success of an industry leader like NVIDIA. If so, the Developer Technology Team invites you to consider this role. What you will be doing: In this position, you will research and develop techniques to GPU accelerate workloads in deep learning, machine learning or other AI domains.

Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex AI and HPC algorithms to ensure the best possible AI solutions on modern CPU and GPU architectures. Publish and present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the Developer community. Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA.

What we need to see: A Masters degree in Computer Science, Computer Engineering, or related computationally focused science degree (or additional equivalent experience). You have 8+ years of relevant work experience or research. Programming fluency in C/C++ with a deep understanding of algorithms and software development.

A background that includes parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, etc. Hands on experience doing low-level performance optimizations. In-depth expertise with CPU and GPU architecture fundamentals

Good communication and organization skills, with a logical approach to problem solving, and prioritization skills. Ways to stand out from the crowd: Expertise in parallelization and performance optimization of Deep Learning models arising from Natural Language Processing, Computer Vision, Recommender Systems, etc. Excellent understanding of linear algebra.

What's DevTech. We are a global organization whose mission is to drive innovation we see in the market towards our products. As recognized specialists across many domains, our work makes valuable contributions in two important ways.

Our solutions are at the cutting edge of technology, advancing NVIDIA's leadership in accelerated computing. Our discoveries generate findings that benefit the Developer Community and provides guidance to our engineering teams to help make our products better. NVIDIA's success in the advancement and availability of Artificial Intelligence has created incredible growth across the Company, and our Developer Technology Engineering team has been steadily growing to meet the demands for our services.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous computer scientist with a genuine passion for parallel computing.

If so, we want to hear from you. Come, join our AI Compute DevTech team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until August 9, 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