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From Home Nvidia Robotics Jobs (NOW HIRING)

General Robotics

Robotics Engineer

Redmond, WA · On-site

$155K - $205K/yr

Design data collection routines to acquire high-quality data from field tests for model fine-tuning ... Experience utilizing constrained edge compute devices (e.g., NVIDIA Jetson) for data acquisition ...

Openmind

OpenMind supports multiple platforms today, from quadrupeds to full-size humanoids, and now our own ... Work on real-time performance: perception latency, compute budgeting on embedded platforms (NVIDIA ...

Openmind

Robotics Engineer

San Francisco, CA · On-site

OpenMind supports multiple platforms today, from quadrupeds to full-size humanoids, and now our own ... Work on real-time performance: perception latency, compute budgeting on embedded platforms (NVIDIA ...

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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 Sep 12, 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 September 2026, with employment types broken down into 2% As Needed, 73% Full Time, 21% Part Time, and 4% Contract. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $96,000 per year, or $46.2 per hour.

NVIDIA 2027 Internships: Ph.D. Research Robotics

Santa Clara, CA • On-site

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidiaexternal

Full-time

Posted 23 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

By submitting your resume, you acknowledge that your Ph.D. Research Robotics internship application will be processed in accordance with NVIDIA's Applicant Privacy Policy and you agree to our Terms of Service. We'll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities.

NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society - from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create.

Our internships offer an excellent opportunity to expand your career and get hands onexperiencewith one of ourindustry-leadingRoboticsteams.We'reseekingstrategic, ambitious, hard-working,collaborative,and creative individuals who are passionate about helping us tackle challenges no one else can solve.

Learn more aboutResearch at NVIDIA.

What you will be doing:

  • Work with experts in robotics and learn to define your research project.

  • Design and implement novel robotics methods.

  • Collaborate with other research team members and aset of internal product teams.

  • Transfer your research to product groups to enable new products or types of products. Deliverable results include prototypes, patents, products, and/or publishing original research.

What we need to see:

  • Must be actively enrolled in a university pursuing a Ph.D. degree in Computer Science, Electrical Engineering, or a related field, for the full duration of the internship;anticipated graduation date (month and year)must be clearly indicated on a resume or CV to be considered.

  • Depending on the internship, prior experience or knowledge requirements couldinclude the following programming skills and technologies:

Python, C++, CUDA, Deep Learning Frameworks (PyTorch, JAX,Tensorflow, etc.), Physics Simulation Frameworks (Issac Sim/Lab,MuJoCo,etc.)

  • Strong background in research with publications at top conferences.

  • Excellent communication and collaboration skills.

  • Experience with large-scale model training is a plus.

Potentialinternships require research experience in at least one of the following areas:

  • Robotic Manipulation and Control

Dexterous Manipulation

HumanoidLoco-Manipulation

Robot Kinematics, Dynamics, and Sensors

  • Perceptionand World Understanding

Robot Perception

Vision Language Action (VLA) Models

  • Robot Learning and Reasoning

Foundation Models for Robotics

Imitation andReinforcement Learning

  • Simulation, sim-to-real, real-to-sim

  • Motion Planning and Navigation

  • Synthetic Data Generation

Clickhereto learn more about NVIDIA, our early talent programs, benefits offered to studentsand other helpful student resources related to our latest technologies and endeavors.

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 38 USD - 94 USD.

You will also be eligible for Internbenefits.

Applications are accepted on an ongoing basis.

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

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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