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Internship Nvidia Robotics information

What types of projects do interns typically work on during a Robotics internship at Nvidia?

As a Robotics intern at Nvidia, you'll usually be assigned to real-world projects that contribute directly to the company's robotics initiatives, such as developing algorithms for autonomous systems, enhancing simulation environments, or testing robotics software on physical platforms. Interns often collaborate with experienced engineers and researchers, gaining hands-on experience with state-of-the-art hardware and AI frameworks. The projects are structured to provide both learning opportunities and meaningful contributions, allowing interns to develop technical skills while understanding industry workflows.

What is the difference between Internship Nvidia Robotics vs Robotics Engineer?

AspectInternship Nvidia RoboticsRobotics Engineer
Required CredentialsEnrolled in a related degree program, basic technical skillsBachelor's or Master's in Robotics, Electrical, or Mechanical Engineering
Work EnvironmentInternship program at Nvidia, collaborative, research-focusedFull-time role in robotics development, engineering teams
Employer & Industry UsageNvidia, technology and AI industryVarious companies in robotics, automation, manufacturing
Common Search & Comparison IntentLearning about entry-level opportunities in Nvidia RoboticsUnderstanding career progression in robotics engineering

Internship Nvidia Robotics provides students with hands-on experience in Nvidia's robotics projects, focusing on learning and skill development. Robotics Engineer roles are full-time positions requiring advanced education and experience, involving designing, developing, and maintaining robotic systems. While internships are ideal for gaining industry exposure, engineering roles offer long-term career growth in robotics development.

What is an Internship Nvidia Robotics?

Internship Nvidia Robotics positions are temporary roles offered by Nvidia for students or recent graduates interested in robotics and artificial intelligence. These internships provide hands-on experience working with cutting-edge robotics technology, including autonomous machines, computer vision, and machine learning. Interns collaborate with experienced engineers and researchers to solve real-world problems, contribute to ongoing projects, and sometimes publish research. The roles are ideal for those pursuing degrees in computer science, robotics, electrical engineering, or related fields, and offer exposure to Nvidia's unique tools and platforms.

How can I get an internship in Nvidia Robotics?

To secure an internship in Nvidia Robotics, applicants should have a strong background in robotics, computer science, or related fields, along with programming skills in languages like C++ or Python. Internships typically require submitting an online application through Nvidia's careers portal, demonstrating relevant coursework, projects, or research experience, and may involve technical interviews. Candidates should also stay informed about internship deadlines and prepare a resume highlighting their technical skills and relevant experience.

Does NVIDIA have robotics jobs?

NVIDIA offers robotics-related jobs, including roles in robotics engineering, AI development, and autonomous systems. These positions often require skills in programming, machine learning, and experience with NVIDIA's hardware and software platforms such as CUDA and Jetson. Candidates typically need a background in robotics, computer science, or related fields.

What are the key skills and qualifications needed to thrive as an Internship Nvidia Robotics, and why are they important?

To thrive as an intern in Nvidia Robotics, you need a solid background in computer science, robotics, or engineering, with proficiency in programming languages like Python or C++. Familiarity with robotics frameworks (e.g., ROS), simulation tools, and version control systems, as well as coursework or certifications in AI or machine learning, are highly valued. Strong problem-solving skills, teamwork, and adaptability help you excel in collaborative and fast-evolving project environments. These competencies are crucial for contributing effectively to innovative robotics projects and gaining hands-on experience in an industry-leading technology company.
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Infographic showing various Internship Nvidia Robotics job openings in the United States as of August 2026, with employment types broken down into 12% Internship, 69% Full Time, 17% Part Time, 1% Temporary, and 1% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution.

Robotics Research Internship, Humanoid Manipulation (Fall 2026) | PhD Internship

FieldAI

Boston, MA • On-site

$40 - $60/hr

Other

Posted 7 days ago

Job description

FieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use.
We are offering a Summer 2026 internship focused on humanoid manipulation for PhD students interested in advancing embodied intelligence on real robotic systems. As a research intern, you will work at the intersection of robotics research and applied engineering, contributing to manipulation capabilities for humanoid robots that directly support FieldAI's autonomy and robot learning efforts.
You will collaborate closely with Field AI research scientists and engineers to design experiments, develop manipulation systems, and test ideas on real hardware. This internship emphasizes translating research into practical, scalable systems, while also contributing to longer-term efforts around embodiment-agnostic robotics foundation models.
What You Will Get To Do

  • Advance Humanoid Manipulation Research
  • Design, implement, and evaluate manipulation strategies for humanoid robots across diverse tasks.
  • Explore loco-manipulation problems that integrate perception, planning, and control.
  • Contribute to research projects from early ideas through on-robot experimentation.
  • Build Systems That Bridge Research and Deployment
  • Translate research concepts into working robotic systems tested on real hardware.
  • Develop experimental setups and tooling to support data collection and evaluation.
  • Help ensure manipulation systems are robust, reproducible, and field-relevant.
  • Contribute to Robotics Foundation Model Development
  • Support data collection pipelines used to train robotics foundation models.
  • Work with embodiment-agnostic representations to enable transfer across robot platforms.
  • Collaborate with researchers to integrate manipulation data into scalable learning frameworks.
  • Collaborate Across Disciplines
  • Partner with mechanical and electrical engineers on hardware integration and system bring-up.
  • Work with teleoperators and field teams to refine interfaces and improve manipulation outcomes.
  • Engage closely with researchers and engineers to align experiments with broader autonomy goals.
  • Rapidly Iterate and Learn
  • Prototype quickly, run experiments on hardware, and analyze results rigorously.
  • Balance exploratory research with concrete deliverables over the course of the internship.
  • Debug system-level issues spanning software, hardware, and learning.
What You Have
  • Current PhD student in Robotics, Computer Science, Mechanical Engineering, AI/ML, or a closely related field.
  • Research experience in robotic manipulation, loco-manipulation, or related robotics domains.
  • Strong foundation in robot kinematics, dynamics, and control.
  • Proficiency in Python and/or C++, with experience using robotics or ML tooling.
  • Experience designing experiments and evaluating results on robotic systems (simulation or hardware).
  • Curiosity, initiative, and a strong interest in embodied intelligence and real-world robotics.
The Extras That Set You Apart
  • Prior experience working with humanoid robots or dexterous robotic hands.
  • Background in learning-based manipulation, including imitation learning or reinforcement learning.
  • Hands-on experience running experiments on real robot hardware.
  • Familiarity with ROS or ROS 2.
  • Publications, preprints, or open-source contributions in robotics or AI.
  • Interest in bridging cutting-edge research with practical, field-ready robotic systems.

$40 - $60 an hour
Why Join Field AI?
FieldAI is tackling one of robotics' hardest problems: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ advance perception, planning, localization, and manipulation with an emphasis on explainability and safety, so our systems can be trusted where it matters most.
You will work alongside a world-class team that values creativity, resilience, and bold thinking. We bring a decade-long track record of real-world deployments, strong performance in DARPA challenges, and experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX.
Our R&D organization is growing and anchored in Boston, with close collaboration across our teams in Southern California and with colleagues around the US and globally.
Be Part of the Next Robotics Revolution
Solving problems at this scale takes a team as unique as the mission. We are looking for people who push beyond conventional approaches, enjoy tackling tough and ambiguous questions, and bring interdisciplinary perspective. Our success depends on exceptional AI researchers and engineers, as well as strong software developers, product designers, field deployment experts, and communicators who can turn breakthroughs into real capability.
We are headquartered in Mission Viejo (Irvine adjacent), Southern California, with teammates across the US and around the world. Join us to shape the future of embodied intelligence as part of a fun, close-knit team building systems that work in the real world.
Equal Opportunity
FieldAI celebrates diversity and is committed to creating an inclusive environment for all employees. Candidates and employees are evaluated based on merit, qualifications, and performance. We do not discriminate on the basis of race, color, religion, sex, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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