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From Home Nvidia Robotics Jobs (NOW HIRING)

NVIDIA Corporation

$184 - $357/hr

JR2022760At NVIDIA, we're pushing the boundaries of AI, robotics, and accelerated computing to ... Ways to stand out from the crowd:*** Experience with real-world robotics deployment and direct ...

Persona AI

Robotics Data Pipeline Intern

Pensacola, FL · On-site

You'll get hands-on experience with real multimodal data challenges, from sensor stream processing ... Experience with NVIDIA's robotics stack (Isaac, Cosmos, GR00T) * Exposure to distributed computing ...

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From Home Nvidia Robotics information

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

As of Aug 22, 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 is a from home Nvidia Robotics job?

'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 key skills and qualifications needed to thrive as a from home Nvidia Robotics engineer?

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 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
Infographic showing various From Home Nvidia Robotics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 75% Physical, 1% Hybrid, and 24% Remote job distribution, with an average salary of $96,000 per year, or $46.2 per hour.

Senior Developer Relations Manager - GR00T End-to-End Workflow

Nvidia

Santa Clara, CA • On-site

Full-time

Posted 12 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies

Job description

At NVIDIA, we're pushing the boundaries of AI, robotics, and accelerated computing to transform industries and improve lives. We're looking for a Senior Developer Relations Manager to own developer and partner adoption of the NVIDIA Isaac GR00T end-to-end workflow - the full-stack platform spanning data capture and teleoperation, synthetic trajectory generation, foundation-model post-training, simulation-based evaluation, and real-time deployment on NVIDIA Jetson Thor, now embodied in the NVIDIA Isaac GR00T Reference Humanoid Robot.

With GR00T N1.7 - our open, commercially licensed vision-language-action model with task- and subtask-level reasoning, dexterous manipulation, and a Cosmos Reason 2 backbone - developers can now go from human demonstration to deployed robot skill on a single, coherent stack. In this role, you'll advise humanoid and general-purpose robot makers, ISVs, research labs, and reference-robot adopters through that journey. The platform is modular by design - you'll help teams adopt it whole or integrate selected capabilities into existing pipelines.

What you'll be doing:

  • Serve as a trusted technical advisor for partners adopting the GR00T End-to-End Workflow.

  • Guide robotic ecosystem partners in architecting end-to-end adoption of the GR00T, with a focus on model deployment on the robot.

  • Represent partner needs internally, providing feedback to NVIDIA's Isaac, GEAR research, and Jetson product teams to influence future roadmaps.

  • Build and maintain deep expertise in NVIDIA robotics SDKs and platforms: Isaac GR00T, Isaac Lab, Isaac Sim, Isaac ROS, Newton, Isaac Teleop, and the Jetson Thor.

  • Accelerate critical partner workloads using NVIDIA's core models, frameworks, and libraries.

  • Track emerging trends in robotics, VLA/WAM models, and robot learning to identify new opportunities and inform the evolution of the reference architecture and support product launches and event marketing activities by using ecosystem partner success stories.

What we need to see:

  • 8+ years of overall professional experience in robotics, autonomous vehicles, or equivalent fields.

  • Master's, or PhD degree in Computer Science, Robotics, Engineering, or a related technical field - or equivalent experience.

  • Technical background in at least two of: robot foundation models, imitation learning, reinforcement learning, robot simulation, synthetic data generation, or embedded/edge deployment.

  • Hands-on experience with robot learning frameworks and tools (e.g., LeRobot, Isaac Lab, MuJoCo) and with deploying models on embedded platforms (Jetson or comparable).

  • Strong interpersonal and communication skills for technical and executive audiences, and the ability to structure and deliver complex, multi-quarter technical engagements.

Ways to stand out from the crowd:

  • Experience with real-world robotics deployment and direct experience post-training or deploying GR00T models.

  • Hands-on experience with humanoid or dexterous-manipulation platforms (e.g., bimanual manipulation, five-fingered hands, teleoperation rigs).

  • Experience with NVIDIA tools and libraries (CUDA-X, Isaac Sim, Isaac ROS, OpenUSD, Cosmos, TensorRT).

  • Established network within the robotics or industrial automation sectors.

  • Proven success growing developer ecosystems through technical enablement, open-source contribution, or reference-design programs.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is 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 outstanding growth, our special engineering teams are growing fast. If you're a creative and autonomous professional with a genuine 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 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 August 14, 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.

What Nvidia employees say

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Hours and flexibility

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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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