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Contractual Computer Vision Deep Learning Engineer Jobs in Tualatin, OR

... and Computer Vision Machine/Deep learning. Create innovative products and see them launched and ... At least 3 years of experience in Python or C++ programming for complex SW systems. Experience ...

Senior Developer Technology Engineer - AI

Hillsboro, OR · Hybrid

$59.25 - $78.50/hr

... Engineer, Artificial Intelligence! Would you enjoy researching parallel algorithms to accelerate AI ... of Deep Learning models arising from Natural Language Processing, Computer Vision, Recommender ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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Contractual Computer Vision Deep Learning Engineer information

See Tualatin, OR salary details

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How much do contractual computer vision deep learning engineer jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for contractual computer vision deep learning engineer in Tualatin, OR is $62.06, according to ZipRecruiter salary data. Most workers in this role earn between $54.09 and $69.09 per hour, depending on experience, location, and employer.

Senior Deep Learning Performance Architect

Nvidia

Hillsboro, OR

$181K/yr

Full-time

Re-posted 22 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

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.

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