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Internship Nvidia Robotics Jobs in Texas (NOW HIRING)

Nvidia

Senior Deep Learning Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

... NVIDIA inference engine, spanning across data centers, personal devices, automotive, and robotics ... A track record of success in mentoring junior engineers and interns is a bonus. With highly ...

Nvidia

Senior Deep Learning Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

... NVIDIA inference engine, spanning across data centers, personal devices, automotive, and robotics ... A track record of success in mentoring junior engineers and interns is a bonus. With highly ...

Nvidia

Senior AI Compiler Engineer, MLIR

Austin, TX

$121K - $160K/yr

NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern ... robots, and self-driving cars that can perceive and understand the world. Today, we are ...

Nvidia

Senior AI Compiler Engineer, MLIR

Austin, TX · On-site

$121K - $160K/yr

NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern ... robots, and self-driving cars that can perceive and understand the world. Today, we are ...

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Internship Nvidia Robotics information

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.

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 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.

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 are the most commonly searched types of Nvidia Robotics jobs in Texas?

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Internship Nvidia Robotics jobs near you
Infographic showing various Internship Nvidia Robotics job openings in Texas as of September 2026, with employment types broken down into 10% Internship, 1% As Needed, 67% Full Time, 15% Part Time, 2% Temporary, and 5% Contract. Highlights an 76% Physical, 1% Hybrid, and 23% Remote job distribution.

Autonomy Software Engineering Internship, World Modeling

Houston, TX • On-site

Persona AI
See more jobs at Persona AIexternal

Full-time

Re-posted 7 days ago

Job description

Job Title: Autonomy Software Engineering Intern, World Modeling
Department: Robotics Software Engineering
Employment Type: Internship
Location: Houston, TX - Onsite
Who We Are
Persona AI is building humanoid robots for the most demanding environments in heavy industry - shipyards, steel mills, fabrication facilities, and offshore platforms - performing welding, grinding, maintenance, inspection, and material-handling work that is dangerous, physically demanding, and increasingly difficult to staff.
We are backed by leading strategic and financial investors and engaged with global industrial leaders across Korea, Japan, the United States, and Singapore. Korea is the center of gravity for our early commercial strategy, anchored by relationships with the world's leading shipbuilders and steelmakers. Our work spans both the robot platform itself and the systems, partners, and playbooks required to deploy it at scale.
We're looking for an Autonomy Software Engineering Intern to help build the world modeling layer of our autonomy stack. You will work hands-on with NVIDIA Cosmos3, curating real-world industrial video data from our customer facilities and fine-tuning models to give our humanoid robots a grounded understanding of the environments they operate in.
This is a paid summer internship based in Houston, TX. You will report to the Behavior Coordination Lead and work directly with the autonomy team alongside our machine learning, perception, and simulation engineers.
Your Role
  • Design and implement autonomy and behavior coordination algorithms for an industrial humanoid platform
  • Work with manipulation, locomotion, and perception engineers to integrate robot skills into autonomous robot behaviors
  • Implement data curation pipelines that enable our robots to understand a variety of real-world industrial tasks.
  • Develop synthetic data generation pipelines for post-training of humanoid world models
  • Design and implement pipelines for autonomous behavior evaluation, benchmarking, and regression testing
  • Turn raw industrial video footage (shipyards, steel fabrication, welding cells) into structured, high-quality training data.
  • Design and evaluate reasoning benchmarks that measure how well a fine-tuned world model grounds language queries in real shipyard and fabrication-plant scenes.

We're Looking For
  • Currently pursuing a BS, MS, or PhD in Robotics, Computer Science, Machine Learning, Electrical Engineering, or a related field; recent graduates are also welcome.
  • Hands-on experience training, fine-tuning, or evaluating modern deep learning models in PyTorch.
  • Strong Python skills; comfortable writing data processing scripts, training loops, and evaluation harnesses.
  • Working familiarity with at least one vision-language model, large language model, or video understanding model.
  • Practical experience building data pipelines: ingestion, filtering, labeling workflows, deduplication, train/val/test splits.
  • Comfortable working in Linux environments with Git, containers (Docker), and cloud GPU infrastructure.
  • Self-directed and able to make steady progress on an open-ended research problem with weekly check-ins rather than daily direction.

Preferred or Bonus Qualifications
  • Direct experience with NVIDIA Cosmos or comparable world foundation models.
  • Exposure to NVIDIA Isaac Sim, Omniverse, or OpenUSD for synthetic data generation and scene variability.
  • Familiarity with humanoid or mobile-manipulator robotics, ROS/ROS 2, and the broader autonomy stack.
  • Experience with motion capture data, egocentric video capture, or first-person dataset construction.
  • Exposure to behavior trees, task and motion planning, or LLM-driven planning architectures.
  • Familiarity with NVIDIA Isaac Lab, NIM microservices, or the Hugging Face training ecosystem.
  • Prior internship, research, or open-source work on physical AI, embodied reasoning, or robot learning.

Our Internship Program
At Persona AI, our internship program gives you direct, hands-on experience building cutting-edge humanoid robotics alongside industry experts. We offer full-time term opportunities across three upcoming cohorts:
  • Fall 2026: August - December
  • Spring 2027: January - May
  • Summer 2027: May - August

As an intern, you'll be paired 1:1 with a senior engineer mentor to accelerate your growth and guide your technical contributions. You will bond with your cohort through intern group lunches, gain cross-functional perspective during company-wide learning lunches, and unwind with fun team activities throughout the term. Whether you're working on advanced motion planning or real-world system testing, you'll tackle meaningful engineering challenges while immersing yourself in our collaborative startup culture.
Application Review Process
We evaluate applications as they are received rather than waiting for the posted deadline to pass. Positions for each cohort are filled on a first-come, first-served basis, and the portal will close as soon as all available roles are finalized.
To give yourself the best chance of securing a spot, keep these tips in mind:
  • Apply Early: Submitting your resume as soon as possible ensures your materials are reviewed before interview slots fill up.
  • Cohort Availability: Popular terms-especially Summer 2027-tend to reach capacity quickly.
  • Rolling Interviews: Interviews and candidate evaluations begin immediately upon application receipt.

Persona AI is an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.

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