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From Home Nvidia Robotics Jobs (NOW HIRING)

NVIDIA is at the forefront of the AI and robotics revolution, and our robotics teams are on a ... Ways to stand out from the crowd: * Prior experience working with product managers and engineering ...

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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$84K

$96K

$116.5K

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

As of Aug 2, 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.

More about From Home Nvidia Robotics jobs
What cities are hiring for From Home Nvidia Robotics jobs? Cities with the most From Home 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 From Home Nvidia Robotics jobs? States with the most job openings for From Home Nvidia Robotics jobs include:
Infographic showing various From Home Nvidia Robotics job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, and 4% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $96,000 per year, or $46.2 per hour.

Developer Advocate - Robotics and Physical AI

NVIDIA

Santa Clara, CA • On-site

Full-time

Re-posted 13 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 241 rated software companies


Job description

Job Summary:
NVIDIA is a leader in accelerated computing and is looking for a Developer Advocate focused on Robotics and Physical AI. This role involves engaging with developers to create demos and content, while also connecting with the developer community to enhance the use of NVIDIA's robotics platform.
Responsibilities:
• Crafting engaging, developer-focused materials such as demos, blogs, presentations, and videos.
• Connecting with developers, researchers, and students at both online and in-person events.
• Developing and deploying the complete robotics lifecycle, from simulation to validation and final deployment on physical platforms using NVIDIA GPUs.
• Combining robotics applications with Generative AI, using widely-adopted tools and frameworks.
• Defining strategic roadmaps for content and events, providing mentorship and ensuring successful outcomes across different organizations.
• Collaborating with engineering, product management, and marketing teams to identify high-impact developer needs and build technical solutions.
Qualifications:
Required:
• Bachelor’s, Master’s, or Ph.D. in Computer Science, Software Engineering, Robotics, or a related technical area (or equivalent experience).
• 8+ years of professional experience in Software Engineering, Application Engineering, Robotics, or embedded devices.
• Proven experience developing applications for various robotic platforms including humanoids, wheeled robots, quadrupeds, and UAVs.
• Established experience in communicating complex technical subjects to engineers and producing developer-focused content.
• Hands-on experience with tools and frameworks such as ROS, OpenCV, NVIDIA JetPack, MuJoCo Warp, Newton, Isaac Sim, and PyTorch.
• Solid knowledge or hands-on experience with contemporary AI, particularly Generative AI, to tackle challenges in robotics using agentic AI workflow.
• A proactive, adaptable, and collaborative teammate. Passionate about developing new technologies in a dynamic environment with the latest technology.
• Understanding of evangelism and how to effectively engage with developer communities.
Preferred:
• Experience with Generative AI tools and frameworks used in the Physical AI community.
• Skilled in crafting technical content, like blog posts, tutorial videos with a strong technical background including research publications.
• Active involvement in developer communities. Experience in running events, webinars, hackathons, or peer-reviewed submissions is a plus.
• Self-motivated individual capable of prioritizing tasks according to mission goals.
• Strong communication abilities in front of large audiences. The capability to tell stories and write succinctly while explaining complex ideas clearly is highly valued.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

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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