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

STR

Senior Researcher

San Diego, CA

... of physics-based modeling and simulation. Algorithmic areas of interest include AI/ML, controls ... Good programming skills in one or more scientific programming languages, such as C/C++, Python, or ...

Inversion

Staff Aerothermal CFD Engineer

Vista, CA · On-site

$161K - $221K/yr

Successful candidates will have a background in DSMC simulation or familiarity with multi-physics ... Experience using programming languages like Python, Fortran, C++, MATLAB, etc. * Involvement in ...

STR

Senior Researcher

San Diego, CA · On-site

Good programming skills in one or more scientific programming languages, such as C/C++, Python, or ... Experience with mission simulators such as AFSIM or NGTS or physics-based simulators such as XPatch ...

STR

Senior Researcher

San Diego, CA

Good programming skills in one or more scientific programming languages, such as C/C++, Python, or ... Experience with mission simulators such as AFSIM or NGTS or physics-based simulators such as XPatch ...

Waymo

Data Scientist

San Diego, CA

Develop new metrics, interpret trends, and investigate anomalies in data from simulation and on ... Statistics, Mathematics, Physics) * 3+ years of industry experience solving data science problems ...

Waymo

Senior Data Scientist

San Diego, CA

Develop new metrics, interpret trends, and investigate anomalies in data from simulation and on ... Statistics, Mathematics, Physics) * 5+ years of industry experience solving data science problems ...

Waymo

Systems Test Engineer, Sensing

San Diego, CA · Hybrid

A bachelor's degree in physics, engineering, or other technical field OR equivalent practical ... Experience analyzing data using Python or other high level language (e.g. Matlab, SQL, C+

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Physics Simulation Python information

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$11.5K

$70.9K

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How much do physics simulation python jobs pay per year?

As of May 30, 2026, the average yearly pay for physics simulation python in Fallbrook, CA is $70,854.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,100.00 and $83,300.00 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 cities near Fallbrook, CA are hiring for Physics Simulation Python jobs? Cities near Fallbrook, CA with the most Physics Simulation Python job openings:
Physics Simulation Python jobs near you
Senior Software Engineer, Simulator Evaluation

Senior Software Engineer, Simulator Evaluation

Waymo

San Diego, CA • Hybrid

$130.10K - $171.50K/yr

Other

Posted 17 days ago

Job description

 

Waymo's simulator is one of the most complex virtual environments ever built. It blends deterministic logic, physical dynamics, and state-of-the-art Generative AI to create a training ground for the Waymo Driver. The Simulator Evaluation team faces the ultimate data challenge: How do you mathematically prove that a virtual world is "real"?

We are looking for a Senior Software Engineer to build the metrics and systems that grade this hybrid environment. You will work at the intersection of software engineering and AI, ensuring that our simulated worlds-whether driven by explicit rules or foundation models-provide a trustworthy representation of reality.

In this hybrid role, you will report to a Senior Staff Software Engineering Manager and define the "Yardstick of Reality" used to validate and train Waymo technology.

You will:

  • Architect the Eval Rubrik: You will develop novel methodologies to evaluate the simulator across the stack. You will distinguish between true driving challenges and realism artifacts-whether it's a logic gap, a physics glitch, or a model hallucination.
  • Build at Scale: You will design and implement high-throughput pipelines (C++/Python) capable of processing massive datasets of simulation logs. You will turn raw, noisy data into clear, actionable signals.
  • The "Critic" for the System: You will partner closely with AI research and other simulation teams, as the eval workflows you build will drive rapid innovation and research roadmaps.
  • Strategic Leadership: You will navigate ambiguity to determine what matters most for realism. You will lead the strategy for specific domains, ensuring our evaluation evolves as fast as our simulation technology.

You have:

  • Engineering Craftsmanship:
    • 5+ years of software development experience.
    • Proficiency in Python or C++, with experience building scalable data processing systems or evaluation frameworks.
    • Strong software design principles: you write clean, testable code that is built to last.
  • Data Intuition & Quantitative Rigor:
    • A "Data Detective" mindset: You can look at a distribution of outcomes and intuitively spot anomalies, selection bias, or system errors.
    • Experience designing and implementing evaluation frameworks for complex systems or machine learning models.
  • System & Model Fluency:
    • Comfort working with complex, hybrid systems. You understand how to evaluate different types of "black boxes," whether they are heuristic-based, physics-based, or learned models.

We prefer:

  • Background in fields that blend code, math, and simulation: Autonomous Vehicles, Algorithmic Trading, AdTech/Search Ranking, Machine Learning, or Robotics.
  • Experience with SQL and the Python data stack (Pandas, NumPy, SciPy).
  • Familiarity with evaluating Generative AI / LLMs or experience with agent-based modeling and behavioral logic.
  • Experience taking a metric from "research concept" to "production pipeline."

#LI-Hybrid

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