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Nvidia Robotics Jobs (NOW HIRING)

Nvidia

Senior Software Engineer - NVIDIA Warp

Santa Clara, CA · On-site

$143K - $189K/yr

Are you passionate about robotics and ready to expand embedded systems? At NVIDIA, we're developing the future of AI and robotics. Our team is advancing GPU-accelerated simulation and robotics ...

General Robotics

Robotics Engineer

Redmond, WA · On-site

$155K - $205K/yr

About General Robotics General Robotics is building the future of general robot intelligence. Our ... Experience utilizing constrained edge compute devices (e.g., NVIDIA Jetson) for data acquisition ...

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How much do nvidia robotics jobs pay per year?

As of Jun 28, 2026, the average yearly pay for nvidia robotics in the United States is $96,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $102,000.00 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.

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Nvidia Robotics jobs near you
Senior Software Engineer - NVIDIA Warp

Senior Software Engineer - NVIDIA Warp

Nvidia

Santa Clara, CA • On-site

$143K - $189K/yr

Full-time

Posted 2 days ago

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.

Are you passionate about robotics and ready to expand embedded systems? At NVIDIA, we're developing the future of AI and robotics. Our team is advancing GPU-accelerated simulation and robotics algorithms with NVIDIA Warp. Join us and collaborate with an experienced group committed to pushing the limits in robotics.

What you'll be doing:

  • Own and improve the end-to-end path for deploying Warp-based robotics and simulation components onto embedded platforms such as Jetson.

  • Build and maintain reproducible deployment workflows including cross-compilation, CI, packaging, and containerized delivery for embedded robotics targets.

  • Optimize on-device performance under real constraints including latency, throughput, memory footprint, thermals, and power.

  • Debug complex issues across the stack spanning Python, C++, CUDA, drivers, and embedded Linux, including hard-to-reproduce device-specific failures.

  • Integrate Warp components into robotics applications and frameworks, including ROS 2 and Isaac-based stacks, and work with partner teams to unblock adoption.

  • Develop system-level testing, validation, and performance regression infrastructure for embedded targets.

  • Collaborate with compiler, runtime, and kernel engineers to improve portability and performance across GPU architectures and embedded configurations.

What we need to see:

  • B.Sc. or M.Sc. or Ph.D. or equivalent experience in Computer Science, Computer Engineering, Robotics, Applied Math, Physics, or a related field.

  • 8+ years of experience with software engineering skills in C++ and Python, comfortable working across build systems and deployment tooling.

  • Experience shipping software to embedded or edge devices, ideally in robotics, autonomy, or real-time systems.

  • Practical understanding of Linux-based deployment workflows including packaging, dependencies, drivers, and debugging in constrained environments.

  • Ability to reason about GPU performance and memory behavior, and to diagnose bottlenecks using profiling and system tools.

  • Strong collaboration and communication skills, with a bias toward execution and unblocking users.

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

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 for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 8, 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.
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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

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