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Physics Informed Machine Learning Jobs in California

SpaceX

Software Engineer, Simulation

Hawthorne, CA · On-site

$145K - $195K/yr

Leverage machine learning and AI solutions-such as surrogate modeling and physics-informed neural networks-to accelerate simulations, enhance efficiency, drive novel improvements, increase part yield ...

Skild AI

Machine Learning Engineer

San Mateo, CA

Experience with physics simulation engines and tools for training RL. * Deep understanding of state-of-the-art machine learning techniques and models. * Extensive industry experience with ...

Apple

Machine Learning FEA Engineer

San Francisco, CA · On-site

Minimum Qualifications Strong Expertise in Machine Learning, Deep Learning, and Optimization Knowledges of Finite Element Analysis and/or other numerical methods in computational physics and ...

Doist

Machine Learning Engineer

South San Francisco, CA · On-site

$212 - $318/hr

Must have a Bachelor's degree or foreign equivalent in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field, plus two (2) years of experience in Building and ...

New

LLNL

Machine Learning Researcher

Livermore, CA · On-site

We have an opening for a Machine Learning and Data Analysis expert to join our team and advance the ... Experience in working with subject matter experts in one or more areas, such as physics, biology ...

New

LLNL

Machine Learning Researcher

Livermore, CA · On-site

$9.8K/wk

We have an opening for a Machine Learning and Data Analysis expert to join our team and advance the ... Experience in working with subject matter experts in one or more areas, such as physics, biology ...

New

LLNL

Machine Learning Researcher

Livermore, CA · On-site

We have an opening for a Machine Learning and Data Analysis expert to join our team and advance the ... Experience in working with subject matter experts in one or more areas, such as physics, biology ...

New

Apple

Machine Learning FEA Engineer

Bodega Bay, CA

$142K - $263K/yr

The machine learning models will drive rapid design iterations by assessing potential risks and ... in computational physics and mechanics Proficiency in Python and relevant packages for ML ...

Apple

Machine Learning FEA Engineer

Bodega Bay, CA

$142K - $263K/yr

The machine learning models will drive rapid design iterations by assessing potential risks and ... in computational physics and mechanics Proficiency in Python and relevant packages for ML ...

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Physics Informed Machine Learning information

What is a physics informed machine learning?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

What are the typical challenges faced by professionals working in physics informed machine learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.

What are the key skills and qualifications needed to thrive in the physics informed machine learning position, and why are they important?

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

What are popular job titles related to Physics Informed Machine Learning jobs in California?

For Physics Informed Machine Learning jobs in California, the most frequently searched job titles are:

What job categories do people searching Physics Informed Machine Learning jobs in California look for?

The top searched job categories for Physics Informed Machine Learning jobs in California are:

What cities in California are hiring for Physics Informed Machine Learning jobs?

Cities in California with the most Physics Informed Machine Learning job openings:

Physics Informed Machine Learning jobs near you
Infographic showing various Physics Informed Machine Learning job openings in California as of August 2026, with employment types broken down into 6% Internship, 47% Full Time, 41% Part Time, and 6% Contract. Highlights an 100% In-person job distribution.

Software Engineer, Simulation

SpaceX

Hawthorne, CA • On-site

$145K - $195K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago

SpaceX rating

8.7

Company rating: 8.7 out of 10

Based on 149 frontline employees who took The Breakroom Quiz

17th of 72 rated aerospace companies

Job description

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.
SOFTWARE ENGINEER, SIMULATION
As a software engineer on the NDE & Materials Software team, you will develop, improve, and advance our in-house multi-physics simulation engine-currently supporting high-pressure die casting and investment casting processes-to the next level. This role will expand the engine's capabilities to additional manufacturing domains, including additive manufacturing, welding, structural stress and strain analysis, grain prediction, and more. You will help apply these simulations to increase part yield, reduce inspection burden, and optimize parts across Raptor, Starship, Starlink, and other programs at SpaceX. Strong software engineering skills and experience applying Machine Learning (ML) and AI to simulation solutions are key to success. The team consists of world-class experts in solidification physics, casting, metallurgy, and simulation. Experience with casting or solidification is not required-just a desire to learn, collaborate, and enable the best future for manufacturing at SpaceX.
RESPONSIBILITIES:
  • Own software architecture and quality of simulation software used across SpaceX.
  • Develop and optimize next-generation software that integrates CFD tools, meshing software, and CAD platforms for multi-physics simulations; contribute to transitioning results viewing to web-based 3D tooling.
  • Build advanced interfaces for viewing and interpreting simulation results.
  • Troubleshoot and debug issues related to software integration, meshing quality, and simulation accuracy.
  • Leverage machine learning and AI solutions-such as surrogate modeling and physics-informed neural networks-to accelerate simulations, enhance efficiency, drive novel improvements, increase part yield, reduce inspection burden, and optimize parts.
  • Collaborate with cross-functional teams to implement new features and automate processes.
  • Conduct testing and validation of simulation results using industry-standard benchmarks.

BASIC QUALIFICATIONS:
  • Bachelor's degree in computer science, engineering, math, or STEM discipline; OR 5+ years of professional experience building software in lieu of a degree.
  • 2+ years of software development experience in C++, Python, or other object oriented languages.

PREFERRED SKILLS:
  • Experience working with numerical solvers for complex physics domains (e.g., tools like OpenFOAM, ANSYS Fluent, COMSOL Multiphysics).
  • Strong meshing skills for complex simulations (e.g., tools like NX, ANSYS Meshing, SnappyHexMesh).
  • Demonstrated experience applying machine learning and AI solutions (e.g., surrogate modeling, physics-informed neural networks, Fourier neural operators, neural operators, graph neural networks etc) to accelerate simulations.
  • Experience with visualization tools (ParaView, VisIt, Tecplot) and web-based 3D tooling (e.g., Three.js).
  • Experience with web development frameworks such as Flask, SQLAlchemy, and FastAPI.
  • Front-end experience in React or similar JavaScript UI frameworks.
  • Database experience with PostgreSQL, SQL Server, or similar database technologies.
  • Good understanding of version control, testing, continuous integration, build, deployment, and monitoring.
  • Strong Linux experience.
  • Knowledge of high-performance computing (HPC) environments and parallel processing.
  • Strong problem-solving abilities and attention to detail for optimizing simulation efficiency.
  • Excellent communication skills for documenting code and collaborating in team settings.

ADDITIONAL REQUIREMENTS:
  • Ability to work extended hours and weekends as necessary.
  • Ability to travel to other SpaceX sites as needed (up to 20%).
COMPENSATION AND BENEFITS:
Pay Range:
Level 1: $125,000.00 - $160,000.00
Level 2: $145,000.00 - $195,000.00
Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.
Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees accrue paid sick leave pursuant to Company policy which satisfies or exceeds the accrual, carryover, and use requirements of the law.
ITAR REQUIREMENTS:
  • To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.

SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
Applicants wishing to view a copy of SpaceX's Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com.

What SpaceX employees say

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Benefits

Hours and flexibility

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About SpaceX

Sourced by ZipRecruiter

Industry

Aerospace product and parts manufacturing, data services, guided missile and space vehicle manufacturing and satellite telecommunications

Company size

1,001 - 5,000 Employees

Headquarters location

Hawthorne, CA, US

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