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Internship Robotics Simulator Jobs in California

Amazon

Senior Robotics SDE, Safe Autonomy, Compass

Pasadena, CA · On-site

$133K - $176K/yr

BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ ... simulation environments for robotics - Strong communication skills and experience working in cross ...

Pronto

Robotics Controls Engineer

San Francisco, CA · On-site

$119K - $161K/yr

Analyze system performance through simulation and field testing * Debug control issues using logged ... internship) software development experience * Strong foundation in classical control theory (PID ...

Pronto

Robotics Systems Engineer

San Francisco, CA · On-site

Familiarity with robotics tooling and infrastructure (Linux, Git, CI/CD, simulation/test harnesses ... internship software development or robotics engineering experience; 3+ years or equivalent ...

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Internship Robotics Simulator information

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

AspectInternship Robotics SimulatorRobotics Engineer
CredentialsEnrolled in or recent graduate of engineering or computer science programsBachelor's or master's degree in robotics, mechanical, electrical, or computer engineering
Work EnvironmentEducational or training settings, simulation labs, or remoteResearch labs, manufacturing facilities, or corporate offices
Industry UsageLearning and training in robotics simulation softwareDesign, develop, and test real robotic systems

The Internship Robotics Simulator role focuses on gaining experience through simulation tools and educational environments, while Robotics Engineers work on designing and implementing actual robotic systems in professional settings. Both roles share foundational knowledge but differ in scope and responsibilities.

What does an internship robotics simulator do?

An Internship Robotics Simulator typically involves working with software that models the behavior of robots in virtual environments. Interns in this role help design, develop, and test robotics simulations to evaluate algorithms, sensor integrations, or robot movements without needing physical hardware. This allows for rapid prototyping, debugging, and validation of robotic systems. Interns may assist engineers by creating simulation scenarios, analyzing results, and improving simulation fidelity. The role is ideal for students or recent graduates interested in robotics, computer science, or related engineering disciplines.

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

To excel as an Internship Robotics Simulator, you need a background in robotics, mechanical or electrical engineering, and programming fundamentals, often supported by current enrollment in a relevant degree program. Familiarity with simulation tools like Gazebo, MATLAB/Simulink, or ROS, as well as coding languages such as Python or C++, is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork are soft skills that help interns stand out. These competencies are essential for accurately modeling robotic systems, collaborating on innovative projects, and translating simulated results into real-world applications.

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

As an intern in robotics simulation, you'll typically work on developing, testing, and troubleshooting virtual models of robots within simulation environments like Gazebo, ROS, or V-REP. Your tasks may include writing scripts to automate robot behaviors, creating and refining simulation scenarios, and assisting in integrating sensors or actuators into simulated robots. Expect close collaboration with engineers and researchers, as you'll often help validate algorithms before they're tested on real hardware. This hands-on experience provides valuable exposure to both software development and robotics engineering challenges.
What are the most commonly searched types of Robotics Simulator jobs in California? The most popular types of Robotics Simulator jobs in California are:
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Internship Robotics Simulator jobs near you
Infographic showing various Internship Robotics Simulator job openings in California as of August 2026, with employment types broken down into 8% Internship, 1% As Needed, 65% Full Time, 24% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution.

Senior Software Engineer - Autonomous Driving Simulation

Nvidia Corporation

Santa Clara, CA • On-site

$143K - $189K/yr

Full-time

Re-posted 27 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

NVIDIA is seeking a highly motivated Software Engineer to join our Autonomous Vehicle (AV) Simulation team. In this role, you will help build and scale realistic virtual environments that accelerate the training, testing, and validation of NVIDIA's autonomous driving software stack.
Our mission is to enable large-scale simulation and debugging of AV algorithms across millions of scenarios per day, spanning diverse traffic patterns, road conditions, weather environments, and edge cases. Achieving this requires deep performance optimization and systems-level analysis across the entire software stack - from AV algorithms and AI models to system software, infrastructure, and production-scale simulation workflows.
What you'll be doing:
  • Develop scalable simulation platforms and workflows for autonomous driving validation and training.
  • Work onReal2Sim and Sim2Realdomain adaptation technologies to transform real-world driving incidents into diverse simulation scenarios - and bridge the gap between simulated and real-world behavior.
  • Contribute across a multidisciplinary stack involving: System software and distributed infrastructure, neural graphics & rendering, generative AI & synthetic data generation, computer vision & deep learning, and real-to-synthetic domain adaptation.
  • Optimize large-scale simulation workflows for performance, scalability, reliability, and production deployment.
  • Collaborate closely with researchers, infrastructure engineers, and product teams across NVIDIA.
  • Drive technology transfer into production products and contribute to open-source initiatives where applicable.

What we need to see:
  • BS, MS, or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field (or equivalent experience).
  • 5+ years of relevant autonomous vehicles industry experience.
  • Strong programming skills in Python, C/C++, PyTorch, and Linux/bash scripting.
  • Experience with modern software engineering and infrastructure tools such as Docker, Bazel, Jenkins, CI/CD pipelines, and distributed systems tooling.
  • Strong background in computer vision, deep learning, simulation systems, or related domains.
  • Excellent analytical and mathematical problem-solving skills.
  • Ability to independently drive complex projects from concept to production.
  • Strong communication, collaboration, and teamwork skills.
  • Experience in machine learning, large-scale systems, analytics, statistics, or applied mathematics.

Ways to stand out from the crowd:
  • First-author publications at top-tier conferences such as NeurIPS, CVPR, ICCV, ECCV, or ICML.
  • Experience in autonomous driving, robotics simulation, neural rendering, synthetic data generation, or generative AI.
  • Proven research or engineering excellence through internships, open-source contributions, code competitions, or impactful production systems.
  • Experience optimizing high-performance or large-scale distributed workloads.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until June 15, 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

Year founded

1993

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