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Physics Informed Neural Networks Jobs in California

Amat

Algorithm Developer III

Santa Clara, CA · On-site +1

$161K - $221K/yr

These solutions will leverage a hybrid approach that combines first-principles physics modeling with advanced machine learning techniques, including physics-informed neural networks (PINNs), to ...

Applied Materials

Algorithm Developer III

Santa Clara, CA · On-site

$161K - $221K/yr

These solutions will leverage a hybrid approach that combines first-principles physics modeling with advanced machine learning techniques, including physics-informed neural networks (PINNs), to ...

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Physics Informed Neural Networks information

What is a physics informed neural network?

A Physics Informed Neural Networks (PINNs) job typically involves developing and applying neural networks that incorporate physical laws as constraints to solve complex scientific and engineering problems. Professionals in this field work on integrating differential equations into deep learning models to improve predictions and reduce the need for large training datasets. These roles are common in fields like fluid dynamics, material science, and climate modeling, where traditional computational methods can be expensive. Individuals in this role often have expertise in machine learning, numerical methods, and domain-specific physics.

What are the key skills and qualifications needed to thrive in physics informed neural networks?

To thrive in Physics Informed Neural Networks (PINNs), you need a strong background in physics, mathematics, and deep learning frameworks, typically evidenced by advanced degrees in physics, applied mathematics, computer science, or engineering. Experience with programming languages such as Python, and familiarity with libraries like TensorFlow or PyTorch, as well as experience in numerical simulation tools, are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills help professionals excel in multidisciplinary teams. These qualifications and soft skills are essential for developing accurate, interpretable models that integrate scientific knowledge with machine learning to solve complex real-world problems.

What does a physics informed neural network do?

In a Physics Informed Neural Networks role, your daily tasks will often include designing, building, and testing neural network architectures that incorporate physical laws and constraints. You will frequently collaborate with domain experts, such as physicists or engineers, to integrate scientific knowledge into machine learning models and validate the results with real-world data. Regular responsibilities also involve coding, running experiments, analyzing results, and documenting findings for presentation or publication. This collaborative and research-driven environment helps ensure that models are both accurate and physically consistent, and offers opportunities for interdisciplinary learning and skill advancement.

What are popular job titles related to Physics Informed Neural Networks jobs in California? For Physics Informed Neural Networks jobs in California, the most frequently searched job titles are:
What job categories do people searching Physics Informed Neural Networks jobs in California look for? The top searched job categories for Physics Informed Neural Networks jobs in California are:
What cities in California are hiring for Physics Informed Neural Networks jobs? Cities in California with the most Physics Informed Neural Networks job openings:
Physics Informed Neural Networks jobs near you
Infographic showing various Physics Informed Neural Networks job openings in California as of August 2026, with employment types broken down into 30% Full Time, 67% Part Time, 2% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Sr. Software Engineer, Propulsion Simulation & Data Analysis (Raptor)

SpaceX

Hawthorne, CA • On-site

Full-time

Re-posted 24 days ago

SpaceX rating

8.8

Company rating: 8.8 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

15th of 72 rated aerospace companies

Job description

Job Summary:
SpaceX is actively developing the technologies to enable human life on Mars. The Sr. Software Engineer will work with the Raptor Systems Modeling and Control Team to maintain and improve simulation models and analyze data to support rocket engine performance and design decisions.
Responsibilities:
• Maintain and improve the accuracy of the lumped-parameter thermofluid physics model of the Raptor engine
• Conduce engine cycle analysis to steer future-state engine design and thrust upgrades
• Conduct anomaly resolution utilizing the engine model and sparse instrumentation
• Develop a detailed understanding of the physics underlying rocket engine performance, sources of performance variability, as well as related modeling and measurement techniques
• Maintain and improve the accuracy of the representation of the Raptor engine used in integrated vehicle simulations, control software validation and flight Monte Carlo analysis
• Develop tools and portals to understand the sources of engine performance variability and enact improvements to manufacturing and engine hardware design
• Automate processes and software tools that are used to predict test performance and generate flight performance predictions for GNC (guidance, navigation, and control) and flight software
• Collaborate with engineers across the company to extend and improve interoperability among existing tools as well as to standardize hardware and software practices, tools, and methods to maximize functionality and value while minimizing future overhead and obsolescence
Qualifications:
Required:
• Bachelor's degree in computer science, engineering, or a STEM discipline
• 5+ year experience writing computer software
• 5+ year experience with physics-based simulations of real dynamic systems
Preferred:
• Dynamical systems modeling
• Experience with lumped parameter modeling of physical systems
• Experience implementing physics-informed neural networks to solve real-world engineering problems
• Data driven analysis of complex systems
• Experience inferring root cause from sparse measurements
• Demonstrable proficiency in the basic principles of compressible and incompressible flow, thermodynamics, thermochemistry, mechanics, and materials
• Strong written and verbal communication skills, ability to make presentations to team members, internal customers and management
• Experience building data pipelines providing sanitization, curation, visualization, exploration to high dimensional datasets
• Experience working with or simulating combustion engines or fluid systems
• Full stack web development experience (database design, frontend)
• Frontend experience in Angular, React, or a similar JavaScript framework
• Backend Development: deliver well-tested, performant, and maintainable Python, C#/.NET, C++ or Java code
• Experience with version control, continuous integration, Unix-like operating systems
• Experience with control feedback loop design and implementation
• Experience with numerical analysis techniques and signal processing in multiple domains
Company:
SpaceX develops and operates rockets, satellite networks, and AI infrastructure including launch, connectivity, and cloud services. Founded in 2002, the company is headquartered in Hawthorne, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

What SpaceX employees say

Pay

Benefits

Hours and flexibility

Workplace

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About SpaceX

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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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