1

Home Based Nvidia Machine Learning Jobs in Oregon

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... based ML through advanced deep learning and deployment. * Effective Teaching Methods: Ability to ...

Machine Learning Tutor

OR · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... based ML through advanced deep learning and deployment. * Effective Teaching Methods: Ability to ...

Machine Learning Tutor

Eugene, OR · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... based ML through advanced deep learning and deployment. * Effective Teaching Methods: Ability to ...

Senior Deep Learning Algorithm Engineer

OR · On-site +1

$122K - $161K/yr

NVIDIA is looking for engineers for our core AI Frameworks (Megatron Core and NeMo Framework) team ... Develop algorithms for AI/DL, data analytics, machine learning, or scientific computing Contribute ...

Research background in machine learning systems or adjacent fields and experience profiling and ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive ...

Senior Compiler Engineer - AI

OR · On-site +1

$122K - $161K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... The ideal candidate brings broad experience across machine learning, including reinforcement ...

Machine Learning Engineer - Ads

OR · On-site +1

$205K - $355K/yr

Our machine learning team is lean but hungry to drive even more impact and make Nextdoor the ... and work from home experience for our valued employees. The hiring team will go over these ...

Senior Software Engineer, CUDA Deep Learning Systems

OR · On-site +1

$122K - $161K/yr

Research background in machine learning systems or adjacent fields and experience profiling and ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive ...

... Machine Learning, High Performance Computing, Graphics and Automotive. NVIDIA is looking for a ... Your base salary will be determined based on your location, experience, and the pay of employees in ...

Senior Math Libraries Engineer - AI and HPC

OR · On-site +1

$104K - $143K/yr

NVIDIA Math Libraries team is looking for a senior engineer to join our development efforts in the ... Good understanding of Machine Learning and Deep Learning technologies as well as knowledge of GPU ...

... NVIDIA GPUs and Tegra Processors. It delivers unified CI/CD solutions and cloud-based software ... Depth in AI, Machine Learning and Deep Learning algorithms and techniques. Strong collaborative and ...

Showing results 21-40

Home Based Nvidia Machine Learning information

What are popular job titles related to Home Based Nvidia Machine Learning jobs in Oregon?

For Home Based Nvidia Machine Learning jobs in Oregon, the most frequently searched job titles are:

What cities in Oregon are hiring for Home Based Nvidia Machine Learning jobs?

Cities in Oregon with the most Home Based Nvidia Machine Learning job openings:

Infographic showing various Home Based Nvidia Machine Learning job openings in Oregon 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 Performance Architect - LPU

Nvidia

OR • On-site, Remote

Full-time

Posted 4 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

We are now looking for a Senior Deep Learning Performance Architect. NVIDIA seeks a Senior DL Performance Architect to join our group of pioneers who enjoy pushing AI Inference performance boundaries. Our team focuses on ambitious hardware-software co-design to speed AI Inference workloads.

This role gives an outstanding opportunity to develop world-class performance strategies, guide future GPU architecture decisions, and lead AI innovation. If you are passionate about AI efficiency Pareto curves, have a proven record of modeling LLM performance and architecting AI systems, and enjoy optimizing every cycle, this role may be perfect for you. What you'll be doing: Design novel GPU and system architectures to advance the forefront of AI Inference performance and efficiency Construct, investigate, and test popular deep learning algorithms and applications Understand and analyze the relationship between hardware and software architectures as it influences future algorithms and applications Build efficient power and performance models of AI inference stack, while capturing minimal but significant information to guide next-gen HW architecture Collaborate across the company to guide the direction of AI, working with software, research, and product teams What we need to see: A MS or PhD in a relevant field (CS, EE, Math) or equivalent experience, with 5+ years of relevant experience Strong mathematical foundation in machine learning and deep learning Expert programming skills in C, C++, and/or Python Familiarity with GPU computing (CUDA or similar) and HPC (MPI, OpenMP) stack Strong knowledge and coursework in computer architecture Ways to stand out from the crowd: Background with systems-level performance modeling, profiling, and analysis Experience in characterizing and modeling system-level performance, accomplishing comparison studies, and documenting and publishing results Background in improving AI Inference workloads by developing CUDA kernels or compilers for custom ASIC hardware #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 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 15, 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