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Physics Simulation Python Jobs in Santa Clara, CA

Required : • 4+ years of experience programming in Python, C++, or similar languages, with ... of physics simulators or OpenGL rendering pipelines • Strong testing practices for simulation ...

Proficiency in programming languages such as Python, C++, or similar. * Deep understanding of commonly used physics engine simulators for robotics. * Technical understanding of different components ...

... physics and rendering pipelines to maximize simulation throughput; thinks carefully about the ... Python, C++, or similar languages, with experience building environments or benchmarks using ...

... physics and rendering pipelines to maximize simulation throughput; thinks carefully about the ... Python, C++, or similar languages, with experience building environments or benchmarks using ...

Simulation Engineer

San Mateo, CA · On-site

$100 - $300/hr

Proficiency in programming languages such as Python, C++, or similar. * Deep understanding of commonly used physics engine simulators for robotics. * Technical understanding of different components ...

Simulation Engineer

Redwood City, CA · On-site

$100 - $130/hr

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 ...

Showing results 21-40

Physics Simulation Python information

See Santa Clara, CA salary details

$12.9K

$79.4K

$142.7K

How much do physics simulation python jobs pay per year?

As of Aug 22, 2026, the average yearly pay for physics simulation python in Santa Clara, CA is $79,393.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,700.00 and $93,400.00 per year, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a physics simulation Python developer?

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 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 Santa Clara, CA?

For Physics Simulation Python jobs in Santa Clara, CA, the most frequently searched job titles are:

What cities near Santa Clara, CA are hiring for Physics Simulation Python jobs?

Cities near Santa Clara, CA with the most Physics Simulation Python job openings:

Infographic showing various Physics Simulation Python job openings in Santa Clara, CA as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 4% Part Time, and 8% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $79,393 per year, or $38.2 per hour.

Software Engineer - Simulation

1X

San Carlos, CA • On-site

Full-time

Re-posted 5 days ago


Job description

Job Summary:
1X is building humanoid robots that assist in household chores, aiming to create a safe and efficient robotic solution for everyday tasks. The Software Engineer - Simulation will be responsible for developing and maintaining simulation environments and infrastructure that enhance robot learning, ensuring policies trained in simulation can reliably transfer to real-world applications.
Responsibilities:
• Build and maintain the simulation environments and real-time infrastructure that accelerate robot learning at 1X, reducing dependence on physical robot evaluations, scaling synthetic data production, and ensuring policies trained in simulation transfer reliably to real hardware.
• Deliver diverse, physically realistic simulation environments for NEO that enable the AI team to develop and evaluate new policies without requiring real robot time for every iteration.
• Measurably narrow the sim-to-real gap through domain randomization, calibration, and environment fidelity improvements, such that policies trained in simulation transfer reliably to deployed hardware.
• Scale synthetic data production to meet the AI team's training needs, with infrastructure that generates diverse, high-quality simulation data efficiently and reproduces environments reliably.
• Enable the hardware team to prototype and virtually test new robot hardware in simulation before manufacturing, reducing design iteration cycles and surfacing issues earlier.
Qualifications:
Required:
• 4+ years of experience programming in Python, C++, or similar languages, with experience building environments or benchmarks using robotics simulators (MuJoCo, PyBullet, Isaac Sim, or equivalent)
• Experience improving the performance of physics simulators or OpenGL rendering pipelines
• Strong testing practices for simulation stacks used in robot learning—comfortable writing tests that verify physical correctness and catch regressions
• Advanced degree (MS or PhD) in Computer Science or a related field
Preferred:
• Knowledge of extrinsic and intrinsic calibration algorithms for robotics, and experience using calibration to improve sim-to-real fidelity
• Experience with domain randomization, procedural environment generation, or other techniques for scaling diverse simulation data production
• Familiarity with differentiable simulation or GPU-accelerated physics (Warp, JAX-based simulators) for high-throughput parallel training
• Background in legged locomotion, dexterous manipulation, or contact-rich robotics where simulation accuracy is most critical
Company:
1X is an engineering and robotics company that develops humanoid robots designed to work alongside humans. Founded in 2014, the company is headquartered in Moss, NOR, with a team of 201-500 employees. The company is currently Growth Stage.