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Internship Physics Simulation Jobs (NOW HIRING)

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Simulation Engineer I, Arc Vehicle

Vista, CA · On-site

$71K - $124K/yr

Typically 1+ years of internship, academic research, or professional experience developing software, physics-based simulations, or numerical models. * Proficiency in programming languages such as C ...

Johns Hopkins Applied Physics Laboratory

We apply a wide range of skills to the development of multi-physics simulations for a broad range ... Proven internship experience or possess extensive classroom project work in a subject matter in any ...

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Internship Physics Simulation information

What is an internship physics simulation?

Internship Physics Simulation jobs are positions for students or recent graduates to gain practical experience working on the development and application of physics-based simulations. These internships typically involve collaborating with experienced researchers or engineers to model physical systems, design experiments, and analyze data using computational tools. Interns may work in industries such as gaming, engineering, research, or animation, applying physics principles to solve real-world problems or improve simulations. The experience gained helps prepare interns for careers in physics, engineering, or related fields.

What types of projects or tasks can I expect to work on during an internship physics simulation?

As a Physics Simulation intern, you'll typically assist with developing, testing, and refining simulation models under the guidance of experienced engineers or researchers. Tasks may include running computational simulations, analyzing data outputs, validating models against experimental results, and helping to optimize algorithms for efficiency and accuracy. You may also attend team meetings, collaborate with other interns or staff, and present your findings. This hands-on experience not only strengthens your technical skills but also exposes you to real-world problem-solving in a collaborative research or engineering environment.

What are the key skills and qualifications needed to thrive as an internship physics simulation, and why are they important?

To thrive in a Physics Simulation Internship, you generally need a solid background in physics, mathematics, and computer science, often supported by progress toward a relevant degree. Familiarity with simulation software (such as MATLAB, ANSYS, or COMSOL), programming languages like Python or C++, and data analysis tools is typically expected. Strong analytical thinking, problem-solving skills, and the ability to communicate complex ideas effectively are crucial soft skills. These qualifications enable interns to contribute meaningfully to simulation projects, interpret results accurately, and collaborate efficiently within multidisciplinary teams.

What is the difference between Internship Physics Simulation vs Physics Engineer?

AspectInternship Physics SimulationPhysics Engineer
Required CredentialsTypically pursuing or recent graduate in physics, engineering, or related fieldBachelor's or master's degree in physics, engineering, or related discipline
Work EnvironmentInternship programs, research labs, or corporate R&D departmentsFull-time employment in R&D, product development, or simulation teams
Industry UsageEntry-level, learning-focused role often part of training programsProfessional role with responsibilities for developing and validating physics-based models

Internship Physics Simulation positions are typically entry-level, designed for students or recent graduates gaining practical experience. Physics Engineers are full-time professionals responsible for creating and applying physics models in real-world projects. While internships focus on learning and skill development, physics engineering involves ongoing project work and expertise application.

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Internship Physics Simulation jobs near you
Infographic showing various Internship Physics Simulation job openings in the United States as of August 2026, with employment types broken down into 12% Internship, 58% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution.

Research Scientist, Robotics Research - PhD New College Grad 2026

Nvidia Corporation

Seattle, WA • On-site

Full-time

Re-posted 22 days ago

Key responsibilities

  • Develop algorithms, models, and methods for robotic manipulation and loco-manipulation for various applications.

  • Integrate research methods into real-world robotic systems, including collaborative robots, industrial robots, mobile manipulators, humanoids, and dexterous hands.

  • Collaborate with research and engineering teams to transfer research into NVIDIA products and contribute to multi-person research projects.

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

NVIDIA is at the forefront of the AI and robotics revolution, and our robotics teams are on a mission to build the essential technology that can enable any company to become a robotics company. The Seattle Robotics Lab is passionate about fundamental and applied robotics research across the full robotics stack, including perception, planning, control, reinforcement learning, imitation learning, and simulation. This research strives to transform research paradigms, transfer into NVIDIA's robotics and simulation products, and build new robotics markets for the world.
The Seattle Robotics Lab has led many influential works that have been presented at top robotics, AI, and computer vision conferences; these works include BayesSim, cuRobo, DeXtreme, DiSECT, Factory, GraspNet, ITPS, MimicGen, RVT, and SHAC. (See our publications page for a complete list.) The work has deeply impacted the research community and NVIDIA products, including Isaac Sim, Isaac Lab, and Isaac Manipulator. Furthermore, SRL collaborates closely with other research and engineering teams to advance and use the Cosmos and GR00T-N foundation models, as well as the Newton physics simulation engine. The team is targeting several grand challenges in robotics and is aiming to achieve never-before-seen capabilities within 2-3 years. We are looking for research scientists to play a pivotal role in these efforts. These scientists must have outstanding research and engineering skills, a proven research track record, strong supporting references, and a team-first approach.
What you will be doing:
  • Developing algorithms, models, and methods for robotic manipulation and loco-manipulation, for both industrial and household applications;
  • Integrating these methods into real-world robotic manipulation systems, including those consisting of collaborative robot arms, industrial robot arms, mobile manipulators, humanoids, and dexterous hands;
  • Contributing to multi-person research projects that require a diverse set of skills across the robotics and machine learning stack;
  • Engaging with the academic community through high-impact publications, conferences, workshops, and code releases;
  • Collaborating with product managers and engineering teams to transfer your research into NVIDIA products that will have real-world impact;
  • Mentoring interns joining NVIDIA during their PhD programs.

What we need to see:
  • Completing a PhD in Robotics, Machine Learning, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field (or equivalent experience).
  • A strong research track record, with work published in top robotics and AI conferences and journals such as RSS, CoRL, ICRA, IROS, IJRR, T-RO, NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, and EMNLP.
  • Exceptional programming skills in Python, as well as proficiency in modern deep learning frameworks (PyTorch or JAX), robotics frameworks (ROS or ROS2), and physics simulation frameworks (Isaac Sim/Lab or MuJoCo). Familiarity with C++, CUDA, and Warp is a plus.
  • Exceptional communication, collaboration, and interpersonal skills, with significant experience working on teams.
  • Comfort in working through the complexities of simulation and real-world robotics, including debugging physics simulators and renderers under rapid development; selecting, setting up, maintaining, and enhancing complex robotics hardware; debugging real-world communication systems; and designing robust workflows for model training and evaluation.

The following research areas and applications are of particular interest:
  • Bimanual and dexterous manipulation
  • Mobile manipulation and humanoid loco-manipulation
  • Multisensory perception (e.g., vision, tactile, and force/torque sensing)
  • Simulation, sim-to-real, and real-to-sim
  • Vision-language-action (VLA) models, including architectural advancements, large-scale training, and test-time reasoning
  • Industrial applications, such as bin-picking, kitting, and assembly

The Seattle Robotics Lab is now located in a brand-new office in the vibrant Fremont neighborhood of Seattle.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 28, 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

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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