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Weekend Software Engineer Gpu Jobs in Oregon (NOW HIRING)

An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... NVIDIA is seeking a talented Software Engineer to join our small team building custom, high-impact ...

OR · On-site

We're looking for a Principal Engineer to join our CSP Engagements team as the technical focal ... Ensure key open-source performance and stress tools (e.g., STREAM, GPU Burn, GPU BLAST) are updated ...

OR · On-site

$122K - $161K/yr

An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... We are hiring software engineers for the CUDA Tile team. NVIDIA GPUs are at the center of the deep ...

OR · On-site

$122K - $161K/yr

An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... We are hiring software engineers for the CUDA Tile team. NVIDIA GPUs are at the center of the deep ...

Required : • Degree in Computer Science, ECE or equivalent experience • A software engineer ... GPU code generation, OpenMP, and OpenACC standards • Knowledge of compiler internals from ...

... GPU efficiency and enterprise-scale AI platform concerns. You should have a background in ... You'd be our first software engineer, so you'll set direction and see it through without a big ...

This role is ideal for a student who can work part-time (16 hours/week) for 6 months to 1 year and is interested in building strong foundations in AI software stacks, GPU programming, and performance ...

OR

$108K - $147K/yr

We are seeking an AI infrastructure software engineer to join our team. You'll be instrumental in ... The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our ...

Manager, Compiler Engineering

Hillsboro, OR · On-site

$224 - $356.50/hr

A software engineer with 10+ overall years of experience with at least 4+ years of hands‑on ... Familiarity with GPU code generation, OpenMP, and OpenACC standards * Knowledge of compiler ...

New

A software engineer with 10+ overall years of experience with at least 4+ years of hands-on ... Familiarity with GPU code generation, OpenMP, and OpenACC standards * Knowledge of compiler ...

Job Summary As a Software Developer on Active911's ActiveComms team, you will be a key contributor ... Availability for on-call duties during outages, which may include evenings, weekends, and holidays.

Showing results 21-40

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:

Systems Software Engineer - New College Grad 2026

Nvidia Corporation

Hillsboro, OR • On-site

$188K - $223K/yr

Full-time

Re-posted 26 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies


Job description

Today, NVIDIA is 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. As an NVIDIAN, you'll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world.
The Advanced Technology Group is looking for a highly motivated Systems Software Engineer - New College Grad to join our group. Do you have a proven software development background in advanced computational methods for advanced semiconductor manufacturing and design? Are you seen as a technical leader and an industry expert in several of the underlying fields, such as massively distributed computing, computational geometry, diffractive optics, and artificial intelligence? If yes, then we'd love to hear from you! The job requires creating strategy, driving industry-leading innovation, and working in lean teams to realize these strategies, from invention to production.
This role will be located in Hillsboro, Oregon.
What you'll be doing:
  • Working with some of the best technologists in the world to build industry-leading advanced computational methods for advanced semiconductor manufacturing and design.
  • Exploiting the potential of the GPU to dramatically accelerate these software solutions.
  • Ultimately, keeping the cadence of semiconductor innovation alive by accelerating semiconductor yield and time to market.

What we need to see:
  • Pursuing or recently completed a MS or PhD in Computer Science or Computer Engineering (or equivalent experience).
  • Experience in developing and delivering complex software solutions for enabling or improving semiconductor fabrication and design.
  • Research and/or industry experience working on advanced computational and AI systems
  • Exposure to ML/AI techniques and deep learning fundamentals, including various network architectures and advanced concepts like model optimization, backpropagation, and mitigating challenges like vanishing gradients and model overfitting.
  • Demonstrated ability in low-level performance optimization, including algorithm development, memory management, cache compression, and work-load balancing for scalable, distributed systems.
  • Ability to quickly ramp up on parallel programming models like CUDA, to accelerate computational methods.
  • Ability to solve complex algorithmic challenges and technical questions with minimal guidance, reflecting a strong foundation in algorithms, data structures, and computational theory

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. If you're creative and autonomous, we want to hear from you!
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 August 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.

What Nvidia employees say

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Benefits

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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