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Simulation Internship Jobs in Seattle, WA (NOW HIRING)

Complete a capstone project to present at the end of the internship. * Collaborate with peers on group challenges and business simulations. Qualifications Overview * Pursuing a bachelor's degree as a ...

Intern-Field

Bellevue, WA · On-site

$20.25/hr

Complete a capstone project to present at the end of the internship. * Collaborate with peers on group challenges and business simulations. Qualifications Overview * Pursuing a bachelor's degree as a ...

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Simulation Internship information

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How much do simulation internship jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for simulation internship in Seattle, WA is $17.69, according to ZipRecruiter salary data. Most workers in this role earn between $14.23 and $19.95 per hour, depending on experience, location, and employer.

What is a simulation internship?

A Simulation Internship is a temporary role, often for students or recent graduates, where individuals gain hands-on experience working with simulation technologies and software. Interns may help develop, test, or analyze virtual models that mimic real-world systems in fields like engineering, healthcare, or computer science. This experience allows interns to apply theoretical knowledge, learn industry-standard tools, and collaborate with professionals on real projects, helping them prepare for future careers in simulation or related areas.

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

As a Simulation Intern, you'll typically work on projects involving the design, development, and analysis of simulation models for products, systems, or processes. Your daily tasks may include running simulation software, collecting and interpreting data, and collaborating with engineers or project managers to refine models based on real-world feedback. Interns often contribute to team meetings, present findings, and gain hands-on experience with industry-standard tools. This role provides a valuable opportunity to develop problem-solving skills, technical expertise, and a deeper understanding of how simulation informs decision-making in engineering or research-driven environments.

What are the key skills and qualifications needed to thrive as a simulation intern, and why are they important?

To thrive as a Simulation Intern, you generally need a background in engineering, computer science, or a related field, along with foundational knowledge of modeling and simulation principles. Familiarity with simulation software like MATLAB, Simulink, or Arena, and experience with programming languages such as Python or C++ are typically required. Strong analytical thinking, attention to detail, teamwork, and effective communication skills make candidates stand out in this role. These competencies are crucial for accurately developing, testing, and interpreting simulation models to solve real-world problems and support project goals.

What is the difference between Simulation Internship vs Simulation Engineer?

AspectSimulation InternshipSimulation Engineer
Required CredentialsTypically pursuing or recent graduate in engineering, computer science, or related fieldBachelor's or master's degree in engineering, computer science, or related field; professional experience often preferred
Work EnvironmentInternship programs, often in corporate R&D or engineering departmentsFull-time engineering teams in industries like automotive, aerospace, or manufacturing
Employer & Industry UsageUsed by companies for training, skill development, and project supportUsed for designing, analyzing, and optimizing systems through simulation
Common Search & Comparison IntentUnderstanding entry-level opportunities and learning pathsUnderstanding career progression and job responsibilities

The main difference between a Simulation Internship and a Simulation Engineer lies in experience level and responsibilities. Internships are entry-level positions aimed at learning and gaining experience, while Simulation Engineers are full-time professionals responsible for developing and applying simulation models in industry projects.

Is a simulation internship worth it?

A simulation internship provides hands-on experience with modeling software and industry-specific tools, which can enhance technical skills and improve employability. It offers exposure to real-world projects and networking opportunities, making it valuable for those pursuing careers in engineering, gaming, or data analysis. The value depends on individual goals and the quality of the internship program.

What are the most commonly searched types of Simulation jobs in Seattle, WA?

The most popular types of Simulation jobs in Seattle, WA are:

What are popular job titles related to Simulation Internship jobs in Seattle, WA?

For Simulation Internship jobs in Seattle, WA, the most frequently searched job titles are:

What cities near Seattle, WA are hiring for Simulation Internship jobs?

Cities near Seattle, WA with the most Simulation Internship job openings:

Infographic showing various Simulation Internship job openings in Seattle, WA as of June 2026, with employment types broken down into 42% Internship, and 58% Full Time. Highlights an 100% In-person job distribution, with an average salary of $36,795 per year, or $17.7 per hour.

Research Scientist, Robotics Research - PhD New College Grad 2026

NVIDIA Gruppe

Seattle, WA • On-site

$168 - $265/hr

Other

Posted 15 days ago


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

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

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.

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.

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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