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Physics Simulation Python Jobs in Sunnyvale, CA (NOW HIRING)

Hammerhead AI

Simulation Engineer

Redwood City, CA · On-site

Proficiency in Python, Go and/or C++ and experience with simulation frameworks or libraries. * Physics-Based Modeling: Strong understanding of first-principles modeling, with experience capturing the ...

HammerheadAI

Simulation Engineer

Redwood City, CA · On-site

Proficiency in Python, Go and/or C++ and experience with simulation frameworks or libraries. * Physics-Based Modeling: Strong understanding of first-principles modeling, with experience capturing the ...

The Bot Company

Simulation

San Francisco, CA · On-site

$200K - $350K/yr

Very strong coding skills in Python and/or C++. * Extensive experience with Isaac or MuJoCo ... Build new simulation features and extend underlying physics/engine internals. * Design high ...

Luminary Cloud

Geometry/Meshing Engineer

San Mateo, CA · On-site

... for physics simulation (e.g., CFD, structural analysis, thermal simulation) and Physics AI ... Proficient in Python. Enterprise-level software development and testing practices. * Operates at ...

Amazon

Applied Scientist II

Sunnyvale, CA · On-site

... and optimizing physics-based simulation systems for high-performance and large-scale computing environments - Strong programming skills in C++ and Python, with an emphasis on maintainable ...

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Physics Simulation Python information

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$12.9K

$79.3K

$142.6K

How much do physics simulation python jobs pay per year?

As of May 31, 2026, the average yearly pay for physics simulation python in Sunnyvale, CA is $79,340.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,600.00 and $93,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Physics Simulation Python Developer, and why are they important?

To excel as a Physics Simulation Python Developer, you need a strong background in physics, mathematics, and proficiency in Python programming, often supported by a degree in physics, engineering, or computer science. Familiarity with simulation libraries (such as NumPy, SciPy, PyBullet, or SimPy), version control systems like Git, and experience with visualization tools are commonly required. Analytical thinking, problem-solving abilities, and effective collaboration are standout soft skills in this role. These skills enable the development of accurate, efficient simulations and foster productive teamwork in research or engineering projects.

What are some common challenges faced by professionals working in Physics Simulation with Python, and how can they be addressed?

Professionals in Physics Simulation with Python often encounter challenges such as optimizing simulation performance, ensuring numerical accuracy, and integrating complex libraries (e.g., NumPy, SciPy, PyBullet) into larger workflows. Addressing these issues typically involves using efficient coding practices, leveraging vectorized operations, and validating results with analytical solutions or experimental data. Collaboration with domain experts and regular code reviews can also help maintain code reliability and project scalability. Staying updated with the latest simulation frameworks and actively participating in open-source communities are excellent ways to overcome technical hurdles.

What is a Physics Simulation Python developer?

A Physics Simulation Python developer is a professional who uses the Python programming language to design, implement, and analyze simulations that model physical systems and phenomena. These simulations can range from simple particle motion to complex fluid dynamics or electromagnetic fields, and are widely used in research, engineering, gaming, and education. The developer typically utilizes scientific libraries such as NumPy, SciPy, and PyBullet, and may also work with visualization tools to present simulation results. Their work helps in understanding real-world physics problems, testing hypotheses, or creating realistic interactive environments.

What is the difference between Physics Simulation Python vs Mechanical Engineer?

AspectPhysics Simulation PythonMechanical Engineer
Required CredentialsProgramming skills, knowledge of physics, often a degree in physics or computer scienceMechanical engineering degree, professional licensure in some regions
Work EnvironmentSoftware development, research labs, simulation environmentsDesign offices, manufacturing plants, R&D departments
Industry UsageSimulation software development, research, academiaProduct design, manufacturing, systems optimization

Physics Simulation Python focuses on developing and implementing physics-based simulations using Python programming, often in research or software development contexts. Mechanical Engineers apply engineering principles to design, analyze, and manufacture mechanical systems. While both roles require a strong understanding of physics, Physics Simulation Python emphasizes coding and simulation, whereas Mechanical Engineering involves practical design and application in physical systems.

What are popular job titles related to Physics Simulation Python jobs in Sunnyvale, CA? For Physics Simulation Python jobs in Sunnyvale, CA, the most frequently searched job titles are:
What job categories do people searching Physics Simulation Python jobs in Sunnyvale, CA look for? The top searched job categories for Physics Simulation Python jobs in Sunnyvale, CA are:
What cities near Sunnyvale, CA are hiring for Physics Simulation Python jobs? Cities near Sunnyvale, CA with the most Physics Simulation Python job openings:
Physics Simulation Python jobs near you
Senior Research Engineer, Robotics Systems

Senior Research Engineer, Robotics Systems

Nvidia

Santa Clara, CA • On-site

$122.70K - $167.90K/yr

Full-time

Posted 17 days ago

Job description

NVIDIA is searching for a senior or principal engineer who specializes in robotics systems in the Generalist Embodied Agent Research (GEAR) group. Our team is leading Project GR00T, NVIDIA's moonshot initiative at building foundation models and full-stack technology for humanoid robots. You will work with an amazing and collaborative research team that consistently produces influential works on multimodal foundation models, large-scale robot learning, embodied AI, and physics simulation. Our past projects include Eureka, VIMA, Voyager, MineDojo, MimicPlay, Prismer, and more. Your contributions will have a significant impact on our research projects and product roadmaps.

What you will be doing:

  • Design and maintain teleoperation software for controlling humanoid robots with low latency and high precision;

  • Develop and optimize the control stack, including locomotion, manipulation, and whole-body control algorithms;

  • Deploy and evaluate neural network models in physics simulation and on real humanoid hardware;

  • Implement tools and processes for regular robot maintenance, diagnostics, and troubleshooting to ensure system reliability;

  • Monitor teleoperators at the lab and develop quality assurance workflows to ensure high-quality data collection;

  • Collaborate with researchers on model training, data processing, and the full MLOps lifecycle.

What we need to see:

  • A Bachelor's Degree in Computer Science, Robotics, Engineering, or a related field or equivalent experience; advanced degrees are helpful.

  • 8+ years of full-time industry experience in robotics hardware or software full-stack;

  • Hands-on experience with deploying and debugging neural network models on robotic hardware;

  • Ability to implement real-time control algorithms, teleoperation stack, and sensor fusion;

  • Proficiency in languages such as Python, Rust, C++, and experience with robotics frames (ROS) and physics simulation (Gazebo, Mujoco, Isaac, etc.).

  • Experience in maintaining and troubleshooting robotic systems, including mechanical, electrical, and software components.

  • Physically work on-site at NVIDIA HQ on all business days.

Ways to stand out from the crowd:

  • Master's or PhD's degree in Computer Science, Robotics, Engineering, or a related field;

  • Experience at autonomous driving or humanoid robotics companies on real hardware deployment;

  • Experience in robot hardware design;

  • Demonstrated Tech Lead experience, coordinating a team of robotics engineers and driving projects from conception to deployment as well as contributions to popular open-source robotics frameworks or research publications in top-tier conferences, such as ICRA, IROS, RSS, CoRL.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world. Please join us and be part of the forefront of developing general-purpose robots and large-scale foundation models!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 10, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.
Nvidia logo

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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