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Home Based Nvidia Machine Learning Jobs in Portland, OR

Nvidia

Senior ASIC Timing Engineer

Hillsboro, OR · Hybrid

NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities which are ... will be determined based on your location, experience, and the pay of employees in similar ...

Nvidia

Senior ASIC Timing Engineer

Hillsboro, OR · Hybrid

NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities which are ... will be determined based on your location, experience, and the pay of employees in similar ...

Nvidia

Senior CPU Design Engineer

Hillsboro, OR · Hybrid

NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities that are ... If so, we want to hear from you. #LI-Hybrid Your base salary will be determined based on your ...

Nvidia

Senior CPU Design Engineer

Hillsboro, OR · Hybrid

NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities that are ... If so, we want to hear from you. #LI-Hybrid Your base salary will be determined based on your ...

Nvidia

Senior Software Engineer, CUTLASS Platform

Hillsboro, OR · On-site

$133K - $175K/yr

Understanding of deep learning models, algorithms, and frameworks. NVIDIA is widely considered to ... Your base salary will be determined based on your location, experience, and the pay of employees in ...

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Infographic showing various Home Based Nvidia Machine Learning job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, and 7% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Senior Deep Learning Software Engineer, DLSim

Nvidia

Hillsboro, OR • On-site

$133K - $175K/yr

Full-time

Posted 8 days ago

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

The DL Performance Modeling Team's core mission is to deliver full stack simulation infrastructure for deep learning applications across a spectrum of GPUs. We actively collaborate with architecture, software, product, and research teams to shape and refine the strategic roadmap of DL hardware and software We are now looking for a Deep Learning Software Engineer to help develop simulation infrastructure. The software rapidly assesses new AI-accelerating GPU hardware and software advancements.

What you'll be doing: Develop simulation backends that enable fast, scalable evaluation of AI workloads across NVIDIA compiler stacks. Improve deep learning compiler kernel code generation and computational graph optimization using analysis based on modeled scenarios and performance insight. Advance the modeling and optimization of datacenter-scale AI workloads and deployment scenarios.

Partner with architects and software teams to evaluate future GPU features and guide silicon and system-level design decisions. What we need to see: A Masters (or equivalent experience) in Computer Science, Computer Engineering, or a related STEM field; PhD preferred. 3+ years of relevant experience in compiler optimization, architectural simulation, or related areas.

Strong hands-on experience with MLIR and compiler infrastructure. Excellent C/C++ and Python programming skills, including software design, debugging, performance analysis, and test development. Strong communication and collaboration skills, with the ability to thrive in a fast-paced, multi-functional, outcome-focused environment.

Ways to stand out from the crowd: Experience designing and building compiler frameworks or intermediate representations from the ground up. Deep understanding of LLM inference workloads and their implications for computer architecture. Hands-on experience implementing and optimizing complex AI workloads on CPUs, GPUs, or custom accelerators.

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, collaborative and love a challenge, 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 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.

Applications for this job will be accepted at least until August 28, 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

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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

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