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Weekend Software Engineer Gpu Jobs in Oregon (NOW HIRING)

Software Engineer, GPU Performance Tools

Hillsboro, OR ยท On-site

$152K/yr

NVIDIA's GPU Architecture Group is seeking an outstanding Software Engineer to advance the state of the art in GPU performance tools. This role offers the opportunity to develop innovative profiling ...

OR

$129K - $175K/yr

Join our technically diverse team of GPU architects, software engineers and deep learning experts to push the boundaries of AI performance! What you'll be doing: * Architect and plan features in ...

OR ยท On-site

$122K - $161K/yr

We are looking for a Senior Software Engineer to lead the bring-up, triage, benchmarking, analysis ... You will lead deep performance and reliability investigations on multi-GPU and multi-node ...

OR ยท On-site

$122K - $161K/yr

More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU ... Are you a motivated system software engineer with a deep understanding of device driver who has ...

... software stacks, GPU programming, and performance optimization. Contributes to the design ... Graphics experience (GPU / CUDA) Job Type:Student / Intern Shift:Shift 1 (United States of America ...

OR ยท On-site

$122K - $161K/yr

... engineers to develop groundbreaking technologies in the inference systems software stack! We build ... As a member of the team, you'll develop libraries, code generators, and GPU kernel technologies for ...

Software Engineer 5 - Model Runtime, AI Platform

OR ยท On-site +1

$466K - $750K/yr

We're looking for a Software Engineer who thrives at the intersection of systems engineering and ML ... Optimize across the full stack - Profile and tune from PyTorch operators down to GPU kernels ...

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Weekend Software Engineer Gpu information

What is the difference between Weekend Software Engineer Gpu vs Weekend Software Engineer Cloud?

AspectWeekend Software Engineer GpuWeekend Software Engineer Cloud
Required CredentialsBachelor's in Computer Science or related, experience with GPU programmingBachelor's in Computer Science or related, experience with cloud platforms
Work EnvironmentOn-site or remote, focused on GPU hardware and softwareRemote or hybrid, focused on cloud infrastructure and services
Industry UsageGaming, AI, high-performance computingWeb services, SaaS, enterprise solutions
Search & Comparison IntentYesYes

The Weekend Software Engineer Gpu and Weekend Software Engineer Cloud roles share similar educational backgrounds and work environments but differ in focus areas. The GPU role emphasizes hardware acceleration and high-performance computing, while the Cloud role centers on cloud infrastructure and services. Both are in high demand and often compared by job seekers exploring flexible tech roles.

What are the most commonly searched types of Software Engineer Gpu jobs in Oregon? The most popular types of Software Engineer Gpu jobs in Oregon are:
Software Engineer, GPU Performance Tools

Software Engineer, GPU Performance Tools

Nvidia

Hillsboro, OR โ€ข On-site

$152K/yr

Full-time

Posted 22 days ago


Job description

NVIDIA's GPU Architecture Group is seeking an outstanding Software Engineer to advance the state of the art in GPU performance tools. This role offers the opportunity to develop innovative profiling capabilities on the next-generation hardware. In this role, you will get to reshape how engineers understand and optimize the world's most advanced GPUs. If you want the freedom to take features from concept through implementation while applying critical thinking and engineering judgment, this is the role for you!

What you'll be doing:

  • Build innovative features for NVIDIA's GPU profiling tools from inception to execution

  • Incorporate new hardware profiling capabilities into tools and workflows

  • Work independently based on high-level requirements, filling in build details and making sound engineering decisions

  • Collaborate with architects, performance engineers, and other software teams to understand requirements and deliver solutions

  • Improve and maintain a large, evolving codebase with high standards for quality and reliability

What we need to see :

  • B.S., M.S., or PhD in Computer Science, Computer Engineering, or a related field (or equivalent experience)

  • 3 years or more experience writing production software in Python and C++

  • Proven foundation in computer architecture and performance analysis

  • Experience in parallel programming or accelerated computing

  • Track record of building tools or infrastructure for other engineers, with a strong sense of what makes a great developer experience

  • Up to date with the latest software engineering practices including AI-enabled development tooling

Ways to stand out from the crowd:

  • Contributions to open-source performance analysis tooling

  • Experience as a user or creator of CPU or GPU profiling tools

  • Experience in GPU computing or accelerated computing platforms

  • Background with building software tools on top of hardware capabilities

  • Familiarity with AI workloads and their performance characteristics

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 7, 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.

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

Year founded

1993