$104.40K - $143.40K/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 ...
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 ...
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 ...
$104.40K - $143.40K/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 ...
OR · Hybrid
$122.40K - $161.30K/yr
NVIDIA is seeking an experienced Deep Learning Engineer passionate about analyzing and improving the performance of NVIDIA's inference ecosystem! NVIDIA is rapidly growing our research and ...
$122.40K - $161.30K/yr
As the complexity and scale of artificial intelligence continue to grow, the intersection of advanced deep learning architectures, massive-scale distributed computing, and low-level hardware ...
$104.40K - $143.40K/yr
Work with deep learning compiler and architecture teams to analyze and validate sophisticated optimizations (e.g., graph rewrites in MLIR, fusion passes, mixed-precision transformations), ensuring ...
$122.40K - $161.30K/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 ...
OR · Hybrid
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.
We are looking for a motivated Deep Learning engineer to bring advanced communication technologies into AI stacks, including PyTorch, TRT-LLM, vLLM, SGLang, JAX, etc. You will be working with the ...
$104.40K - $143.40K/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 ...
$122.40K - $161.30K/yr
We are looking for a motivated Deep Learning engineer to bring advanced CUDA features and Distributed Runtime technologies into AI stacks, including PyTorch, TRT-LLM, vLLM, SGLang, JAX, etc. You will ...
S. in Computer Science, Electrical Engineering, or a related field (or equivalent experience), with 12+ years of industry experience in high-performance computing (HPC) or distributed deep learning.
$139.90K/yr
We are now looking for a Deep Learning Software Engineer, TensorRT Performance! NVIDIA is seeking an experienced Deep Learning Engineer passionate about analyzing and improving the performance of ...
Deep Learning Software is looking for a Technical Program Manager to lead software programs for Deep Learning Training and Inference Frameworks, with the goal of supporting NVIDIA's top AI ...
$104.40K - $143.40K/yr
NVIDIA's Deep Learning Frameworks Teams seek Senior Software Engineers to create systems for continuous integration, testing, and delivery of advanced software stacks. Join a diverse, ambitious team ...
Senior Software Engineer - Deep Learning Compiler CI Infrastructure
$133.40K - $175.90K/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 ...
Senior Software Engineer - Deep Learning Compiler CI Infrastructure
$133.40K - $175.90K/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 ...
$129.40K - $175.80K/yr
We build communication libraries like NCCL, NVSHMEM, and UCX that are crucial for scaling Deep Learning and HPC. We're seeking a Senior Software Architect to help co-design next-gen data center ...
Deep understanding of modern deep learning architectures and optimization techniques. * Proven record of deploying production-grade ML models for self-driving, robotics, or related fields at scale.
$125.40K - $172.80K/yr
Deep understanding of modern deep learning architectures and optimization techniques. * Proven record of deploying production-grade ML models for self-driving, robotics, or related fields at scale.
OR · On-site
$104.40K - $143.40K/yr
GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. Now, NVIDIA's GPU runs Deep Learning algorithms, simulating human intelligence, and acts as ...
Deep Learning information
See Oregon salary details
$23.1K is the 25th percentile. Wages below this are outliers.
$11.6K - $24K
27% of jobs
$24K - $36.4K
0% of jobs
$36.4K - $48.8K
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$48.8K - $61.2K
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$61.2K - $73.6K
0% of jobs
The median wage is $85K / yr.
$73.6K - $86K
25% of jobs
$86K - $98.4K
18% of jobs
$107.3K is the 75th percentile. Wages above this are outliers.
$98.4K - $110.8K
7% of jobs
$110.8K - $123.2K
2% of jobs
$123.2K - $135.6K
0% of jobs
$135.6K - $148K
21% of jobs
$11.6K
$88.7K
$148K
How much do deep learning jobs pay per year?
As of May 30, 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 key skills and qualifications needed to thrive in the Deep Learning position, and why are they important?
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 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 deep learning jobs?
Deep learning jobs involve developing and applying neural network models to solve complex problems such as image recognition, natural language processing, and speech analysis. These roles typically require skills in programming languages like Python, experience with frameworks like TensorFlow or PyTorch, and a strong understanding of machine learning concepts. They are common in industries such as technology, healthcare, and finance, often requiring a background in computer science or related fields.
More about Deep Learning jobs
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:
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 looking for a Deep Learning Compiler Engineer. 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 breakthroughs in many areas, e.g. large language models, generative AIs, recommendation systems, image classification, speech recognition, etc. Our DLC has been the backbone of NVIDIA inference engine, spanning across data centers, personal devices, automotive, and robotics. The compiler must deliver leading inference performance, fast build time, reduced memory footprints, and ease of use in the forms of both Ahead-of-Tine and Just-in-Time. Join the team building the DLC which will be used by the entire deep learning community.
What you'll be doing:
Analyzing deep learning networks and developing compiler optimization algorithms.
Collaborating with members of the deep learning software framework teams and the hardware architecture teams to accelerate the next generation of deep learning software.
Scope of these efforts includes defining public APIs, performance optimizations and analysis, crafting and implementing compiler infrastructure techniques for neural networks, and other general software engineering work.
What we need to see:
Bachelors, Masters or Ph.D. in Computer Science, Computer Engineering, related field or equivalent experience
3+ years of relevant work or research experience in performance analysis and compiler optimizations.
Ability to work independently, define project goals and scope, and lead your own development efforts.
Excellent C/C++ and Python 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:
Proficient in CPU and/or GPU architecture. CUDA or OpenCL programming experience.
Experiences in systems with constrained resources, such as embedded platforms, small memory size, and cross compilation.
Experience with the following technologies: MLIR, XLA, TVM, LLVM, deep learning models and algorithms, and deep learning frameworks, such as PyTorch.
GPU kernel generation with high performance and fast build time.
A track record of success in mentoring junior engineers and interns is a bonus.
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.
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.#deeplearning
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