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Deep Learning Jobs in Oregon (NOW HIRING)

Nvidia

Deep Learning Compiler Engineer

OR · On-site +1

NVIDIA GPUs are at the center of the deep learning revolution and continue to enable breakthroughs in generative AI, large language models, recommendation systems, speech recognition, image ...

Nvidia

Deep Learning Compiler Engineer

OR · On-site +1

NVIDIA GPUs are at the center of the deep learning revolution and continue to enable breakthroughs in generative AI, large language models, recommendation systems, speech recognition, image ...

Nvidia

Senior Deep Learning Compiler Engineer

OR · On-site +1

$104K - $143K/yr

NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling ...

Nvidia

Engineering Manager, Deep Learning Inference

OR · On-site +1

The Deep Learning Inference team develops and optimizes open-source frameworks that make AI deployment scalable, efficient, and accessible - including vLLM / SGLang, and FlashInfer. Our work enables ...

Nvidia

Engineering Manager, Deep Learning Inference

OR · On-site +1

The Deep Learning Inference team develops and optimizes open-source frameworks that make AI deployment scalable, efficient, and accessible - including SGLang, vLLM, and FlashInfer. Our work enables ...

Nvidia

Senior Deep Learning Compiler Engineer - XLA

OR · On-site +1

$104K - $143K/yr

More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the ...

Nvidia

Senior Deep Learning Algorithm Engineer

OR · On-site +1

$104K - $143K/yr

NVIDIA is seeking a Senior Deep Learning Algorithms Engineer to advance Dynamo, our open-source distributed inference platform for large-scale, low-latency AI services. You'll lead architecture and ...

Nvidia

Principal Deep Learning Algorithm Engineer

OR · On-site +1

What we need to see: BS, MS, PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field (or equivalent experience). 15+ years of experience in deep learning and deep ...

Nvidia

Senior Deep Learning Tools Engineer - CUDA Tile

OR · On-site +1

$104K - $143K/yr

In this role, you will work at the intersection of deep learning compilers, GPU systems, and automation infrastructure, ensuring that performance improvements are measurable, scalable, and ...

Nvidia

Senior Deep Learning Software Engineer, Inference

OR · On-site +1

$122K - $161K/yr

NVIDIA seeks a Senior Software Engineer specializing in Deep Learning Inference for our growing team. As a key contributor, you will help design, build, and optimize the GPU-accelerated software that ...

Nvidia

Senior Deep Learning Algorithm Engineer

OR · On-site +1

$122K - $161K/yr

Strong understanding of AI/Deep-Learning fundamentals and their practical applications. Ways to stand out from the crowd: Hands-on experience in large-scale AI training, with a deep understanding of ...

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Deep Learning information

See Oregon salary details

$11.6K

$88.7K

$148K

How much do deep learning jobs pay per year?

As of Sep 5, 2026, the average yearly pay for deep learning in Oregon is $88,691.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,100.00 and $147,000.00 per year, depending on experience, location, and employer.

What is a deep learning job?

A Deep Learning job involves designing, developing, and optimizing neural networks to solve complex problems such as image recognition, natural language processing, and autonomous systems. Professionals in this field work with large datasets, neural network architectures, and frameworks like TensorFlow or PyTorch. They collaborate with data scientists, engineers, and researchers to improve model accuracy and efficiency. Deep Learning roles typically require strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration.

What are the typical daily responsibilities of a deep learning professional?

As a Deep Learning professional, your day-to-day tasks often include designing and training neural network models, preprocessing and analyzing large datasets, and evaluating model performance using various metrics. You may also participate in research activities, document your results, and collaborate with data scientists, engineers, or product teams to deploy machine learning solutions. Regular meetings for project updates, code reviews, and brainstorming sessions are common, as is staying updated on advances in the field. This dynamic environment offers both individual and team-based work, providing continuous learning and the opportunity to solve complex, real-world problems.

What are the key skills and qualifications needed to thrive in a deep learning position?

To thrive in Deep Learning, you need a solid understanding of machine learning theory, neural networks, mathematics (especially linear algebra and probability), and programming skills, typically backed by a degree in computer science, mathematics, or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data preprocessing, and optionally industry-recognized certifications are advantageous. Strong analytical thinking, problem-solving skills, and the ability to communicate findings clearly are crucial soft skills. These abilities enable the design, implementation, and optimization of effective deep learning solutions in real-world applications.

What jobs use deep learning?

Jobs that use deep learning include roles such as machine learning engineer, data scientist, AI researcher, and computer vision engineer. These positions typically require skills in programming languages like Python, experience with deep learning frameworks such as TensorFlow or PyTorch, and knowledge of neural network architectures. They are common in industries like technology, healthcare, automotive, and finance, often involving tasks like image recognition, natural language processing, and predictive modeling.

What are the most commonly searched types of Deep Learning jobs in Oregon?

The most popular types of Deep Learning jobs in Oregon are:

What are popular job titles related to Deep Learning jobs in Oregon?

For Deep Learning jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Deep Learning jobs in Oregon look for?

The top searched job categories for Deep Learning jobs in Oregon are:

What cities in Oregon are hiring for Deep Learning jobs?

Cities in Oregon with the most Deep Learning job openings:

Deep Learning jobs near you
Infographic showing various Deep Learning job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $88,691 per year, or $42.6 per hour.

Deep Learning Compiler Engineer

Nvidia

OR • On-site, Remote

Full-time

Posted 16 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

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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.

Come join the team and see how you can make a lasting impact on the world. We are hiring software engineers for the Tensor IR & CUDA Tile team. NVIDIA GPUs are at the center of the deep learning revolution and continue to enable breakthroughs in generative AI, large language models, recommendation systems, speech recognition, image classification and other areas.

Come join us to work with a top-notch team and have broad impact across the entire deep learning community. What you'll be doing: In this role, you will work on CUDA Tile and TensorIR compiler technologies for NVIDIA GPUs. CUDA Tile is a new tile-based programming model that shipped with CUDA 13.1, and TensorIR is an open-source compiler infrastructure project that uses CUDA Tile to generate high-performance GPU kernels

You will design and implement compiler transformations, develop MLIR-based dialects and lowering passes, and optimize the performance of tile-based kernels to ensure they execute efficiently across multiple generations of NVIDIA GPU architectures. The scope of these efforts includes defining public APIs, crafting and implementing compiler and optimization techniques, performance optimization, and other general software engineering work. What we need to see: Bachelors, Masters or Ph.D

in Computer Science, Computer Engineering or a related field (or equivalent experience) 3+ years of relevant work or research experience in compiler optimization, performance analysis and IR design. Ability to work independently, define project goals and scope, and lead your own development effort. Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design.

Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team. Ways to stand out from the crowd: Knowledge of CPU and/or GPU architecture. CUDA or OpenCL programming experience.

Experience with the following technologies: MLIR, LLVM, XLA, TVM and deep learning models and algorithms. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.

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. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 27, 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. #deeplearning.

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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