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Physics Simulation Python Jobs in La Mesa, CA (NOW HIRING)

Raytheon

Senior Simulation Engineer Onsite

San Diego, CA · On-site

$110K - $152K/yr

Experience using Python to analyze data, model behaviors, or support operational workflows ... Advanced degree in Physics, Applied Mathematics, Electrical Engineering, or Aerospace Engineering

Apple

Position Sensing Systems Engineer

San Diego, CA · On-site

S. in EE, ECE, Engineering Physics, or similar and a minimum of 10 years relevant industry ... Experience with magneto-static simulations using Finite Element Analysis tools like ANSYS or COMSOL ...

Apple

Position Sensing Systems Engineer

San Diego, CA · On-site

Experience with Matlab or Python Preferred Qualifications PhD in EE, ECE, Engineering Physics, or ... Experience with magneto-static simulations using Finite Element Analysis tools like ANSYS or COMSOL ...

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Physics Simulation Python information

See La Mesa, CA salary details

$11.3K

$69.4K

$124.8K

How much do physics simulation python jobs pay per year?

As of Sep 12, 2026, the average yearly pay for physics simulation python in La Mesa, CA is $69,414.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,200.00 and $81,600.00 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 cities near La Mesa, CA are hiring for Physics Simulation Python jobs?

Cities near La Mesa, CA with the most Physics Simulation Python job openings:

Physics Simulation Python jobs near you

Modeling & Simulation Engineer (R4869)

San Diego, CA • On-site

Shield AI
Software Development • 11 - 50 employees
Learn more about Shield AIexternal

$130K - $200K/yr

Full-time, Part-time

Re-posted yesterday

Key responsibilities

  • Develop models and infrastructure for the integrated simulation pipeline in C++.

  • Design deterministic, high-performance simulation tools capable of faster-than-real-time execution for development, testing, and release.

  • Collaborate across autonomy, embedded, GNC, and test engineering to ensure the simulation mirrors real aircraft behavior and mission scenarios.

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:
The Aircraft Simulation team is the nerve center of autonomy integration at Shield AI. We deploy the innovative tools, intelligent models, and streamlined processes that make it possible to evaluate complex autonomous flight algorithms at scale. Our tools are utilized in a broad range of simulation—from mission autonomy simulation to Hardware-in-the-loop, and every layer between. In an era of rapid advancement in Artificial Intelligence, our goal is simple: make AI fly—safely, reliably, and fast.
As a Staff Modeling & Simulation Engineer, you will be a pivotal force in engineering Shield AI’s foundational simulation platform for our next-generation VTOL aircraft. You’ll develop our emerging simulation engine and deploy advanced aircraft models in C++ across multiple engineering domains—ranging from mathematical physics to the latest in surrogate machine learning methods. You will also utilize your multiphysics and aeronautical systems knowledge to conduct system performance analysis against test and vendor data to ensure simulation results are valid in operational scenarios, and simulation platforms are both stable and fast. 
What you'll do:
  • Develop infrastructure and models in C++ for autonomous aircraft simulation.
  • Serve as a subject matter expert in modern aerospace and software engineering.
  • Architect deterministic, high-performance simulation software.
  • Lead verification and validation (V&V) analysis studies on models and model tooling.
  • Collaborate tightly across autonomy, embedded, GNC, and test engineering teams to ensure our simulation mirrors real aircraft behavior and mission scenarios.
  • Contribute to platform-agnostic simulation tooling to accelerate future development efforts.
  • Train and guide junior engineers in modeling and simulation best practices.
Required qualifications:
  • BS in Computer Science, Aerospace, Robotics, or related field.
  • 7+ years of experience in simulation software development with C++ competency; exceptional candidates with less experience and demonstrated depth will be considered.
  • Strong understanding of rigid-body dynamics, kinematics, and the physics of dynamic systems.
  • Proven experience developing or integrating simulation systems for robotics, aerospace, and/or other complex dynamic systems (e.g., maritime, space, defense ground systems, or gaming).
  • Ability to debug complex build and runtime environments.
  • Experience with simulation verification and validation.
  • Strong communication skills across software, hardware, and systems disciplines.
  • Must be eligible to obtain a Secret Clearance; Secret clearance eligibility requires US Citizenship.
Preferred qualifications:
  • MS or PhD in Computer Science, Aerospace, Robotics, or related field.
  • Familiarity with modern C++ standards (C++20 or later).
  • Grasp of real-time and deterministic software design, including multi-threading, synchronization, and memory management. 
  • Experience with DevOps-integrated simulation workflows, including CI/CD and automated testing environments.
  • Experience with Hardware- and Software-in-the-Loop simulation environments, including integration of real hardware into simulation environments.
  • Experience with CMake, package management tools (e.g. Conan, Nix), and profiling tools.
  • Experience with software testing tools (GTest, etc.)
  • Working knowledge of Python for data analysis, test automation, or simulation orchestration.
  • Experience working on autonomous aircraft systems.
  • Active Secret or Top Secret Clearance is desired.
#LI-AA1
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Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.