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Home Based Nvidia Machine Learning Jobs in Portland, OR

... machine learning initiatives * Identify high-value AI use cases and guide teams on prompt ... Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors ...

Senior Software Engineer

Beaverton, OR · On-site

$127K - $168K/yr

... OAuth2 / JWT based Authentication with RBAC • Operationalize the Machine Learning Models (TensorFlow, PyTorch, Scikit-learn) • AWS Serverless Architecture (Lambda, API Gateway, IAM) • ...

Developing and applying analytics, machine learning, and data science techniques to cyber use cases ... Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors ...

PRIMARY RESPONSIBILITIES * Hands-on development and write algorithms in machine learning ... Python-based ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) * Data processing tools ...

Lead AI and Data Science Engineer II

Portland, OR · On-site

$108K - $143K/yr

... and machine learning methods to generate rigorous, actionable insights. * Perform analytics in cloud-based environments, support the development of clear leadership-ready presentations, and stay ...

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Home Based Nvidia Machine Learning information

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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.

Systems Software Engineer - New College Grad 2026

Nvidia Corporation

Hillsboro, OR • On-site

$188K - $223K/yr

Full-time

Re-posted 6 hours ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 243 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

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

Year founded

1993