OR · On-site
$122K - $161K/yr
With the rapid advancement of AI, our DLC has been the backbone of NVIDIA's inference engine, spanning across data centers, personal devices, automotive, and robotics. The compiler must deliver ...
OR · On-site
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ...
OR · On-site
$129K - $175K/yr
Today, NVIDIA's GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We ...
OR · On-site
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ...
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 ...
OR · On-site
Experience in systems engineering, robotics development, or systems integration and test * Strong ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work ...
OR · On-site
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ...
OR · On-site
NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 ... An era in which our GPU acts as the brain of computers, robots, and self-driving cars that can ...
OR · On-site
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ...
OR · On-site
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ...
NVIDIA has some of the most innovative people working on meaningful problems that are defining the field of ML/DL, data science, robotics, and graphics. Your base salary will be determined based on ...
NVIDIA has some of the most innovative people working on meaningful problems that are defining the field of ML/DL, data science, robotics, and graphics. Your base salary will be determined based on ...
OR · On-site
$104K - $143K/yr
Now, NVIDIA's GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are now ...
OR · On-site
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for upwards of ... An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ...
Experience with Physical AI platforms including NVIDIA Omniverse, Isaac Sim, Jetson edge computing, or involvement in production robotics/autonomous systems implementations. * Active participation in ...
... from robotics and autonomous vehicles to healthcare and climate research. With the introduction of theGrace CPU Superchip, and more recently, the announcement of the Vera CPU, NVIDIA has expanded ...
... from robotics and autonomous vehicles to healthcare and climate research. With the introduction of theGrace CPU Superchip, and more recently, the announcement of the Vera CPU, NVIDIA has expanded ...
OR · On-site
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ...
OR · On-site
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ...
... from robotics and autonomous vehicles to healthcare and climate research. With the introduction of theGrace CPU Superchip, and more recently, the announcement of the Vera CPU, NVIDIA has expanded ...
... from robotics and autonomous vehicles to healthcare and climate research. With the introduction of theGrace CPU Superchip, and more recently, the announcement of the Vera CPU, NVIDIA has expanded ...
OR · On-site
$122K - $161K/yr
NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern ... robots, and self-driving cars that can perceive and understand the world. Today, we are ...
OR · On-site
$95K - $131K/yr
Today, NVIDIA's GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We ...
Nvidia Robotics information
See Oregon salary details
$88.8K - $91.9K
3% of jobs
$94.5K is the 25th percentile. Wages below this are outliers.
$91.9K - $95.1K
26% of jobs
The median wage is $96.8K / yr.
$95.1K - $98.2K
38% of jobs
$98.2K - $101.3K
4% of jobs
$103.8K is the 75th percentile. Wages above this are outliers.
$101.3K - $104.4K
4% of jobs
$104.4K - $107.6K
3% of jobs
$107.6K - $110.7K
4% of jobs
$110.7K - $113.8K
4% of jobs
$113.8K - $116.9K
4% of jobs
$116.9K - $120.1K
4% of jobs
$120.1K - $123.2K
4% of jobs
$88.8K
$101.5K
$123.2K
How much do nvidia robotics jobs pay per year?
As of Jun 11, 2026, the average yearly pay for nvidia robotics in Oregon is $101,499.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,200.00 and $107,800.00 per year, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive in the Nvidia Robotics position, and why are they important?
To excel in Nvidia Robotics, candidates typically need a strong background in robotics engineering, computer vision, machine learning, and software development, often supported by a relevant degree in computer science, engineering, or a related field. Experience with programming languages such as Python and C++, familiarity with ROS (Robot Operating System), and certifications in AI or robotics platforms are highly valued. Strong problem-solving abilities, teamwork, and adaptability help professionals address complex technical challenges and collaborate effectively. These skills are crucial for developing, optimizing, and deploying advanced robotic systems that meet Nvidia's innovative standards.
Which robotics company partner with NVIDIA?
NVIDIA Robotics partners with several leading robotics companies, including Boston Dynamics, Fetch Robotics, and Omron. These collaborations often involve integrating NVIDIA's AI and computing platforms to enhance robot perception, navigation, and automation capabilities.
What is an Nvidia Robotics job?
An Nvidia Robotics job involves working on cutting-edge robotics technology, including AI-powered perception, planning, and control systems. Engineers in this role develop software and hardware solutions for autonomous machines, leveraging NVIDIA's GPUs, AI frameworks, and simulation tools. These jobs often involve contributing to platforms like Isaac Sim and Jetson to accelerate robotics research and deployment across industries such as manufacturing, logistics, and healthcare.
Does NVIDIA hire remote workers?
NVIDIA offers remote work opportunities for certain roles, including positions in robotics and engineering, depending on the team and project requirements. Remote work policies vary by department and location, and candidates should review specific job postings for remote options and eligibility criteria.
Is it hard to get hired at NVIDIA?
Getting hired for a robotics-related role at NVIDIA can be competitive, as the company seeks candidates with strong technical skills, relevant experience, and often advanced degrees in engineering or computer science. The hiring process typically involves multiple interviews, technical assessments, and a review of project work or certifications. Success depends on demonstrating expertise in areas like AI, machine learning, or robotics, and aligning with NVIDIA's innovation-focused environment.
How much do NVIDIA robotics engineers make?
NVIDIA robotics engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and specific role. Senior engineers with specialized skills in AI, machine learning, and robotics may earn higher salaries, often supplemented with bonuses and stock options.
What are some typical responsibilities for a robotics engineer working at Nvidia, and how do they collaborate with other teams?
Robotics engineers at Nvidia are often involved in designing, developing, and testing advanced robotics solutions that leverage the company's cutting-edge AI and GPU technologies. On a daily basis, they may work on software algorithms, integrate sensor and perception systems, and optimize robotic hardware performance. Collaboration is a key part of the role, as engineers frequently interact with colleagues in software development, research, hardware engineering, and product management to bring new robotics platforms to market. Team members also participate in regular cross-functional meetings to align project goals and ensure seamless integration of robotics technologies across products.
What are the most commonly searched types of Nvidia Robotics jobs in Oregon? The most popular types of Nvidia Robotics jobs in Oregon are:
What are popular job titles related to Nvidia Robotics jobs in Oregon? For Nvidia Robotics jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Nvidia Robotics jobs in Oregon look for? The top searched job categories for Nvidia Robotics jobs in Oregon are:
What cities in Oregon are hiring for Nvidia Robotics jobs? Cities in Oregon with the most Nvidia Robotics job openings:
$122K - $161K/yr
Full-time
Posted 16 days ago
Job description
NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. 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 world. Today, we are increasingly known as "the AI computing company".
We are looking for an AI & Deep Learning Compiler Engineer. NVIDIA is hiring software engineers for its Deep Learning & AI 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. With the rapid advancement of AI, our DLC has been the backbone of NVIDIA's 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-Time 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:
Develop compiler IR, programming model and optimizations for future GPU architectures.
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 optimizations and kernel generation 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.
Experience with compiler technologies (e.g., MLIR, XLA, and LLVM etc.)
Excellent C/C++ and Python programming and software design skills, including debugging, performance analysis, and test design.
Ability to work independently, define project goals and scope, and lead your own development efforts.
Strong interpersonal skills are required along with the ability to work in a fast moving & dynamic product-oriented team.
Ways to stand out from the crowd:
Understanding of deep learning models, algorithms and frameworks, such as PyTorch, XLA etc.
Understanding of LLM inference optimizations and techniques.
GPU kernel generation with high performance and fast build time.
Proficient in GPU architecture. CUDA or OpenCL programming experience.
Track record on new hardware bring-up is a plus.
With competitive salaries and a generous benefits package, we are 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 and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, 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 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.
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