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Contractual Computer Vision Deep Learning Engineer Jobs in Oregon

Nvidia

Senior Deep Learning Tools Engineer - CUDA Tile

OR · On-site +1

$104K - $143K/yr

... Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or related field 5+ years of software engineering experience, including experience in performance engineering ...

Nvidia

Senior Deep Learning Software Infrastructure Engineer

OR · On-site +1

$108K - $147K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Doing what's never been done before takes vision, innovation, and the world's best talent. As an ...

Nvidia

Senior Deep Learning Software Engineer, Inference

OR · On-site +1

$122K - $161K/yr

Masters or PhD or equivalent experience in relevant field (Computer Engineering, Computer Science ... Ways to Stand out from The Crowd Contribute to deep learning software projects, such as PyTorch ...

Nvidia

Senior Machine Learning Engineer, AI Safety

OR · On-site +1

$114K - $156K/yr

NVIDIA is seeking talented Deep Learning Scientists / AI Researchers / Machine Learning Engineers ... Master's or PhD in Computer Science, Electrical Engineering, or a related quantitative field (or ...

BetterHelp

Staff Machine Learning Engineer

OR · On-site +1

Strong expertise in machine learning techniques, including deep learning, neural networks ... Solid foundation in computer science fundamentals, including object-oriented programming, data ...

Anno.ai

Senior Machine Learning Engineer

OR · On-site +1

$104K - $143K/yr

Bachelor's degree in Computer Science, Electrical Engineering, Data Science, or a related technical ... Strong proficiency in Python and familiarity with at least one deep learning framework (e.g ...

Particle41

AI Engineer

OR · On-site +1

As an AI Engineer at Particle41 you will design, develop and deploy machine-learning and deep ... Experience in computer vision, time-series modelling (ARIMA, Prophet) or multimodal AI.

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Infographic showing various Contractual Computer Vision Deep Learning Engineer job openings in Oregon as of July 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Senior Deep Learning Performance Architect

Hillsboro, OR • On-site

SupportFinity™
IT Services • 51 - 200 employees
Learn more about SupportFinity™external

Other

Posted 22 days ago

Key responsibilities

  • Develop innovative hardware architectures to improve parallel computing performance, energy efficiency, and programmability.

  • Benchmark and analyze AI workloads in single and multi-node configurations, and evaluate hardware performance, power, and area trade-offs.

  • Develop high-level simulator and analysis tools in C++ and Python, and collaborate with architecture teams and product management to guide product development.

Job description

Senior Deep Learning Performance Architect

NVIDIA |

NVIDIA | Posted Mar 2

Full-time

Hillsboro

Advanced (5-10 yrs)

We are now looking for a Senior Deep Learning Performance Architect! NVIDIA is seeking outstanding Performance Analysis Architects to help analyze and develop the next generation of architectures that accelerate AI and high-performance computing applications.

What You'll Be Doing
  • Develop innovative HW architectures to extend the state of the art in parallel computing performance, energy efficiency and programmability.
  • Benchmark and analyze AI workloads in single and multi-node configurations.
  • Develop high level simulator and analysis tools in C++/Python.
  • Evaluate PPA (performance, power, area) for hardware features and system-level architectural trade-offs.
  • Work closely with peer architecture teams and product management to guide development of the products.
  • Keep abreast with emerging trends and research in deep learning.
What We Need To See
  • MS or PhD in a relevant discipline (Computer Science, Electrical Engineering, Computer Engineering, etc) or equivalent experience.
  • 4+ years of experience in parallel computing architectures, interconnect fabrics and deep learning applications.
  • Background in GPU or Deep Learning ASIC architecture evaluation for training and/or inference.
  • Strong programming skills in Python and C++.
Ways To Stand Out From The Crowd
  • Solid fundamental knowledge in computer architecture and interconnect fabrics.
  • Understanding of modern transformer-based model architectures.
  • Ability to simplify and communicate rich technical concepts to non-technical audience.
  • Have a curious demeanor with excellent problem-solving skills.

Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. NVIDIA's GPUs run AI algorithms, simulating human intelligence, and act as the brains of computers, robots and self-driving cars that can perceive and understand the world. Increasingly known as “the AI computing company”, NVIDIA wants you. Come, join our Deep Learning Architecture team, where you can help build real-time, cost-effective computing platforms driving our success in this exciting and rapidly growing field!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.

About the company

NVIDIA

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