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From Home Nvidia Robotics Jobs (NOW HIRING)

Nvidia

OR

$63.50 - $87/hr

... robots, and self-driving cars that can understand the world. NVIDIA is seeking an experienced ... Ways to stand out from the crowd: * Practical experience with NVIDIA GPUs, software libraries ...

Nvidia

OR · On-site

... robots, and self-driving cars. Joining the OpenShell team offers a unique opportunity to work on a ... Work across the full stack of a distributed systems platform, from crafting gRPC contracts to ...

Nvidia

OR · On-site

$63 - $83/hr

NVIDIA is seeking an outstanding Physical AI & Robotics Solutions Architect to join our growing ... Ways to stand out from the crowd: * Built simulation workflows, digital twins, synthetic data ...

Prime Robotics

Senior Robotics Engineer

Denver, CO · On-site

$150K/yr

Architect and develop robotics software in ROS/ROS2 for autonomous mobile robots, from motion and ... Experience with NVIDIA Jetson, Isaac SDK, Isaac Sim, Omniverse, CUDA, or GPU-accelerated robotics ...

Prime Robotics

Senior Robotics Engineer

Denver, CO

$150K/yr

Architect and develop robotics software in ROS/ROS2 for autonomous mobile robots, from motion and ... Experience with NVIDIA Jetson, Isaac SDK, Isaac Sim, Omniverse, CUDA, or GPU-accelerated robotics ...

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How much do from home nvidia robotics jobs pay per year?

As of Jun 8, 2026, the average yearly pay for from home 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 as a Work-From-Home NVIDIA Robotics Engineer, and why are they important?

To thrive as a Work-From-Home NVIDIA Robotics Engineer, you generally need a background in robotics, computer science, or engineering, with strong programming skills in languages like Python or C++. Familiarity with NVIDIA hardware (such as Jetson platforms), robotics middleware (like ROS), and deep learning frameworks is often required, along with relevant certifications or project experience. Excellent problem-solving, remote collaboration, and communication skills set standout candidates apart. These skills ensure the ability to develop, test, and deploy advanced robotics solutions efficiently while working remotely.

What are 'From Home Nvidia Robotics' jobs?

'From Home Nvidia Robotics' jobs refer to remote positions with Nvidia that focus on robotics development, research, or support. These roles may include software engineering, AI development, simulation, or technical support for Nvidia's robotics platforms and tools, such as Isaac Sim or Jetson. Employees in these roles can work from their homes while collaborating virtually with global teams to develop cutting-edge robotics solutions. The work often involves coding, testing, and deploying robotics applications or supporting customers and partners using Nvidia's robotics technologies.

What are the typical collaboration tools and communication methods used by Nvidia Robotics teams working from home?

Nvidia Robotics professionals working remotely typically rely on a suite of digital collaboration tools to stay connected and productive. Common platforms include Slack or Microsoft Teams for instant messaging, Zoom for video meetings, and project management tools like Jira or Asana to track tasks and progress. Code collaboration and version control are usually managed through GitHub or GitLab. Regular virtual stand-ups and documentation sharing ensure everyone stays aligned, and there's a strong emphasis on clear, timely communication to support teamwork across different time zones and disciplines.

What is the difference between From Home Nvidia Robotics vs From Home Nvidia Data Analyst?

AspectFrom Home Nvidia RoboticsFrom Home Nvidia Data Analyst
Required CredentialsBachelor's in Robotics, Computer Science, or related field; certifications in robotics or automationBachelor's in Data Science, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentRemote, involving software development, robotics programming, and simulationRemote, focusing on data collection, analysis, and reporting
Industry UsageRobotics, automation, AI developmentData-driven decision making, analytics, AI training

While both roles are remote and involve working with Nvidia technologies, From Home Nvidia Robotics focuses on developing and programming robotic systems, whereas From Home Nvidia Data Analyst centers on analyzing data to support business and AI insights. The credentials overlap in technical skills, but the job functions differ significantly in their focus areas.

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From Home Nvidia Robotics jobs near you
Senior Research Engineer, Robotics Systems

Senior Research Engineer, Robotics Systems

Nvidia Corporation

Santa Clara, CA • On-site

$122K - $167K/yr

Full-time

Posted 24 days ago

Job description

NVIDIA is searching for a senior or principal engineer who specializes in robotics systems in the Generalist Embodied Agent Research (GEAR) group. Our team is leading Project GR00T, NVIDIA's moonshot initiative at building foundation models and full-stack technology for humanoid robots. You will work with an amazing and collaborative research team that consistently produces influential works on multimodal foundation models, large-scale robot learning, embodied AI, and physics simulation. Our past projects include Eureka, VIMA, Voyager, MineDojo, MimicPlay, Prismer, and more. Your contributions will have a significant impact on our research projects and product roadmaps.
What you will be doing:
  • Design and maintain teleoperation software for controlling humanoid robots with low latency and high precision;
  • Develop and optimize the control stack, including locomotion, manipulation, and whole-body control algorithms;
  • Deploy and evaluate neural network models in physics simulation and on real humanoid hardware;
  • Implement tools and processes for regular robot maintenance, diagnostics, and troubleshooting to ensure system reliability;
  • Monitor teleoperators at the lab and develop quality assurance workflows to ensure high-quality data collection;
  • Collaborate with researchers on model training, data processing, and the full MLOps lifecycle.

What we need to see:
  • A Bachelor's Degree in Computer Science, Robotics, Engineering, or a related field or equivalent experience; advanced degrees are helpful.
  • 8+ years of full-time industry experience in robotics hardware or software full-stack;
  • Hands-on experience with deploying and debugging neural network models on robotic hardware;
  • Ability to implement real-time control algorithms, teleoperation stack, and sensor fusion;
  • Proficiency in languages such as Python, Rust, C++, and experience with robotics frames (ROS) and physics simulation (Gazebo, Mujoco, Isaac, etc.).
  • Experience in maintaining and troubleshooting robotic systems, including mechanical, electrical, and software components.
  • Physically work on-site at NVIDIA HQ on all business days.

Ways to stand out from the crowd:
  • Master's or PhD's degree in Computer Science, Robotics, Engineering, or a related field;
  • Experience at autonomous driving or humanoid robotics companies on real hardware deployment;
  • Experience in robot hardware design;
  • Demonstrated Tech Lead experience, coordinating a team of robotics engineers and driving projects from conception to deployment as well as contributions to popular open-source robotics frameworks or research publications in top-tier conferences, such as ICRA, IROS, RSS, CoRL.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world. Please join us and be part of the forefront of developing general-purpose robots and large-scale foundation models!
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 May 10, 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.
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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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