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

Fuse

Computational Physicist

San Leandro, CA · On-site

... physics, mathematics, and computational methods to develop models and simulations that explore ... Strong programming skills in Python, Fortran, C++, or MATLAB for numerical modeling. * Experience ...

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Physics Simulation Python information

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$13.5K

$82.8K

$148.8K

How much do physics simulation python jobs pay per year?

As of May 30, 2026, the average yearly pay for physics simulation python in Berkeley, CA is $82,773.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,900.00 and $97,300.00 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 job categories do people searching Physics Simulation Python jobs in Berkeley, CA look for? The top searched job categories for Physics Simulation Python jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Physics Simulation Python jobs? Cities near Berkeley, CA with the most Physics Simulation Python job openings:
Physics Simulation Python jobs near you
Senior/Principal Lead Delivery Engineer - Aerospace

Senior/Principal Lead Delivery Engineer - Aerospace

Luminary Cloud

San Mateo, CA • On-site

$142.90K - $197K/yr

Full-time

Posted 16 days ago

Job description

Full-time position | San Mateo, CA (Onsite)
Note: In accordance with export control regulations, this position requires candidates to qualify as a U.S. Person (U.S. citizen, lawful permanent resident, or protected individual as defined under 8 U.S.C. § 1324b(a)(3)). For engagements with cleared customers, an active or obtainable U.S. security clearance is preferred but not required.
JOIN THE REVOLUTION IN ENGINEERING INNOVATION
Luminary helps engineering companies be more competitive by getting to market faster, creating better products, and reducing development risk. We do this through our Physics AI platform - the fastest and easiest way to build and deploy models that understand and instantly predict physical reality with precision. Our customers span industries from automotive and aerospace to defense, industrial, semiconductors, and energy - ranging from hyper-growth startups to Fortune 100 enterprises. Luminary is a Series B company headquartered in San Mateo, California.
YOUR IMPACT
As the Senior/Principal Lead Delivery Engineer for Aerospace, you own customer outcomes for Luminary's aerospace engagements - spanning established OEMs and the next generation building the future of flight and space. You are a dual hat - project manager and product manager - leading a matrixed value delivery team that translates the hardest problems in aircraft design, propulsion, aeroelasticity, and certification-relevant analysis and more into Physics AI solutions. You partner with the GTM team on account engagement and growth.
WHAT YOU'LL DO
  • Own end-to-end customer outcomes across new and existing aerospace accounts - from discovery and use case scoping through model development, deployment, and embedding into customer engineering workflows.
  • Author Statements of Work (SOWs), educate customers on the engagement plan, and own delivery accountability against them.
  • Lead a value delivery team in a matrix structure: Applications Engineers, Applied AI/ML Scientists, Data and Platform Engineers, and selected product engineers. Set technical direction, sequence the work, remove blockers.
  • Operate as a dual hat - project manager and product manager - running sprints, milestones, and risk while also choosing the right use cases and shaping the product intuition for what to build next.
  • Stay hands-on-keyboard where it matters. Debug a model, restructure a data pipeline, prototype a workflow integration. Lead from the front, not from slides.
  • Embrace co-engineering: work side-by-side with customers on use case development, sharing knowledge and building trust through visible, collaborative work.
  • Partner with GTM team on new account engagement, GTM-to-delivery handoff, and account growth.
  • Bring market and customer signal back to Product and Research, directly shaping Luminary's roadmap for aerospace use cases.

WHAT YOU BRING
  • 5-10 years of experience in a technical role in aerospace - aerospace OEMs, eVTOL/UAM, space, propulsion, or aerospace-adjacent engineering software. Principal-level candidates have an extensive track record in aerospace.
  • Multi-physics fluency across aerospace disciplines: aerodynamics, structural mechanics, aeroelasticity, propulsion, thermal-structural coupling, composites, or multi-physics simulation. Generalist depth across several disciplines is more valuable than world-class depth in one.
  • U.S. Person required.
  • Strong hands-on engineering chops - Python, scripting, simulation tools, and AI/ML workflows.
  • Working knowledge of AI/ML applied to engineering - surrogate modeling, neural operators, physics-informed ML, or digital twins.
  • Demonstrated ability to lead cross-functional technical teams without direct authority.
  • Product instinct, customer-facing presence, exceptional communication.
  • Self-starter, persistent through iteration, willing to travel 10-25% to customer sites.

PREFERRED QUALIFICATIONS
  • Advanced degree (MS or PhD) in Aerospace, Mechanical, or related field.
  • Prior experience at commercial aerospace OEMs (Boeing, Airbus, Bombardier, Embraer, Textron), eVTOL/UAM (Joby, Archer, Wisk, Beta, Lilium), space (SpaceX, Blue Origin, Rocket Lab, Relativity, Stoke), or propulsion (Rolls-Royce, GE Aerospace, Pratt & Whitney, Safran).
  • Hands-on experience with CFD, FEA, aeroelasticity, MDO, or certification-relevant analysis.
  • Understanding of how AI-driven simulation integrates into aerospace development and certification workflows.
  • Active or obtainable U.S. security clearance for engagements with cleared aerospace customers.

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