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Nvidia Robotics Jobs (NOW HIRING)

Senior Workflow Specialist - Isaac Robotics

Redmond, WA ยท On-site

$87K - $108K/yr

You will work with the latest hardware and software technologies to help NVIDIA develop the next ... Looking at various processes within the Robotics industry to see how our technology can help ...

Robotics Engineer

Redmond, WA ยท 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 ...

OR

$63.50 - $87/hr

... robots, and self-driving cars that can understand the world. NVIDIA is seeking an experienced ... Solutions Architect to be a trusted technical advisor, bridging design to deployment of large-scale ...

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Nvidia Robotics information

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$84K

$96K

$116.5K

How much do nvidia robotics jobs pay per year?

As of Jun 5, 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 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.

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.

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 cities are hiring for Nvidia Robotics jobs? Cities with the most Nvidia Robotics job openings:
What are the most commonly searched types of Nvidia Robotics jobs? The most popular types of Nvidia Robotics jobs are:
What states have the most Nvidia Robotics jobs? States with the most job openings for Nvidia Robotics jobs include:
Infographic showing various Nvidia Robotics job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 93% Full Time, and 6% Part Time. Highlights an 84% Physical, 8% Hybrid, and 8% Remote job distribution, with an average salary of $96,000 per year, or $46.2 per hour.
Senior Robotics Systems Software Engineer - ROS

Senior Robotics Systems Software Engineer - ROS

Nvidia

Santa Clara, CA โ€ข On-site

Full-time

Posted 23 days ago


Job description

We are looking for a Senior Systems Software Engineer for our Robotics Team working onNVIDIA Isaac ROS. Modern robot development for the next wave of AI-powered physical agents is athree-computer problemleveraging accelerated compute for simulation, training, and edge inference. NVIDIA's ISAAC platform binds together high-fidelity visual and physical simulation, a high-quality development platform, hundreds of optimized algorithms to tackle hard problems in computer vision and artificial intelligence, and a small but powerful computational platform to form the brain of intelligent machines. Our team consists of experts from all over the world and dozens of different fields, and together we want to change the way robots are programmed. We're looking for someone to help energize the ROS ecosystem with accelerated computing to tackle the rigorous real-time demands of deploying complex, learned policy-driven robots.

What you'll be doing:

  • Lead the design & development of software frameworks aimed at helping robots perceive and interact with the world through learned policies

  • Drive improvements with the open-source community to make ROS the de facto standard for robotics development

  • Debug and optimize ROS-based autonomy stacks from application to system-level drivers on NVIDIA platforms

  • Develop innovative ways to characterize and measure robotics software for functionality and performance

  • Collaborate with other teams to incorporate NVIDIA technologies

  • Manage issues during integration, testing, deployment & QA

What we need to see:

  • BS, MS in Computer Science, Robotics, or related field (or equivalent experience)

  • 8+ years of proven experience

  • Expertise with ROS (middleware, ecosystem, development, debugging tools)

  • Experience working in distributed systems and embedded software roles

  • Proficiency with data structures and core algorithms

  • Excellent C, C++ programming and design skills

  • Ability to learn fast & debug complex system issues

  • Flexibility to adapt quickly to varying roles & responsibilities

Ways To Stand Out from the crowd:

  • Engagement as contributor to the ROS framework, tools, or packages

  • Experience training behavior policies using Isaac Lab, Isaac Gym, MuJoCo, or similar

  • Strong grasp of deep learning applications for physical agents

  • Expertise with DDS, UCX, MQTT, or other middleware transport technologies

  • Background with software performance profiling and optimization

NVIDIA is widely considered to be one of the technology world's most desirable employers with some of the most forward-thinking and dedicated people in the world working here. If you want to help make robotics progress in challenging contexts, 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 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 January 16, 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.#deeplearning

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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