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Physics Informed Machine Learning Jobs in Riverside, CA

Senior Astrodynamics Engineer

Irvine, CA ยท On-site

$180K - $270K/yr

Astronautical Engineering, Aerospace Engineering (space-focused, Applied Mathematics, Physics Or a ... Familiarity with machine learning applications in: * Orbit determination * Anomaly detection

Data Scientist

Irvine, CA ยท On-site

$100K - $130K/yr

... machine learning and assisting in generative AI solutions. This position will lead the design and ... Bachelor's or Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics ...

Leverage machine learning and advanced scripting to automate simulation post-processing, identifying performance patterns and drastically reducing turnaround times for complex physics. * Design ...

Fluid Dynamics Engineer

Irvine, CA ยท On-site

$95K - $106K/yr

Leverage machine learning and advanced scripting to automate simulation post-processing, identifying performance patterns and drastically reducing turnaround times for complex physics. * Design ...

Sr. OMS Developer

Anaheim, CA ยท On-site

$116K - $132K/yr

Collaborate with AI development teams to design and integrate machine learning models within the ... Evaluate various options and make informed decisions to ensure optimal outcomes. Project Management ...

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC ...

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC ...

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Physics Informed Machine Learning information

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How much do physics informed machine learning jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for physics informed machine learning in Riverside, CA is $20.93, according to ZipRecruiter salary data. Most workers in this role earn between $13.03 and $26.59 per hour, depending on experience, location, and employer.

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 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 is a Physics Informed Machine Learning job?

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 popular job titles related to Physics Informed Machine Learning jobs in Riverside, CA? For Physics Informed Machine Learning jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Physics Informed Machine Learning jobs in Riverside, CA look for? The top searched job categories for Physics Informed Machine Learning jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Physics Informed Machine Learning jobs? Cities near Riverside, CA with the most Physics Informed Machine Learning job openings:
Senior Astrodynamics Engineer

Senior Astrodynamics Engineer

Turion Space

Irvine, CA โ€ข On-site

$180K - $270K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


Job description

About the Role

We are seeking an experienced Astrodynamics Engineer โ€“ Orbit Determination Specialist to lead the development of high-fidelity orbit determination and astronautics capabilities for a world-class commercial astronautics' library.

In this role, you will design and implement advanced estimation algorithms, support mission analysis activities, and collaborate closely with software engineers, product teams, and mission operators. You will play a critical role in ensuring the technical excellence, scalability, and operational reliability of our astronautics platform.

This position is ideal for someone with deep expertise in orbital mechanics, state estimation, and spacecraft mission operations who enjoys solving complex aerospace problems in a fast-moving environment.

What You'll Do

  • Serve as the astronautics lead for a commercial-grade astronautics software library.

  • Develop, test, and deploy high-fidelity orbit determination (OD) algorithms and applications.

  • Design scalable, production-quality OD pipelines and services using C++.

  • Implement advanced state estimation techniques including:

    • Extended Kalman Filters (EKF)

    • Unscented Kalman Filters (UKF)

    • Batch Least Squares

    • Stochastic filtering and smoothing methods

  • Build and validate inertial propagation and perturbation models, including:

    • Gravitational models

    • Atmospheric drag

    • Solar radiation pressure (SRP)

    • N-body perturbations

  • Conduct maneuver planning and trajectory analysis for:

    • Collision avoidance

    • Station-keeping

    • Orbit transfers

    • Rendezvous operations

  • Support conjunction analysis and space debris mitigation activities.

  • Collaborate with multidisciplinary teams to integrate navigation and OD systems into broader spacecraft architectures.

  • Lead modeling and simulation efforts supporting mission and system design.

  • Ensure engineering accuracy through rigorous testing and validation methodologies.

  • Participate in peer code reviews and contribute to high software quality standards.

  • Partner with product and business teams to help shape platform capabilities and customer-facing functionality.

Minimum Qualifications

  • M.S. or Ph.D. in: Astronautical Engineering, Aerospace Engineering (space-focused, Applied Mathematics, Physics Or a related technical discipline

  • Experience 10โ€“20+ years of professional experience in:

    • Orbit determination

    • State estimation

    • Astrodynamics

    • Trajectory optimization

  • Proven experience developing and analyzing astronautics algorithms for operational or mission environments.

Strong understanding of:

  • Satellite mission lifecycle operations:

    • Launch

    • Commissioning

    • On-orbit operations

    • End-of-life disposal

  • Spacecraft subsystems and mission impacts:

    • Propulsion

    • Thermal systems

    • Power systems

    • Communications

  • Orbital mechanics and environmental effects:

    • Atmospheric drag

    • Radiation pressure

    • Perturbation modeling

  • Maneuver design and navigation operations.

  • Ground station coordination and operational mission constraints.

  • Space situational awareness (SSA) and conjunction assessment.

Strong proficiency with:

  • Kalman filtering and estimation methods

  • Relative and inertial state estimation

  • Numerical methods and optimization techniques

  • Modern software development in: C or C++

  • Modeling and simulation for aerospace systems

Preferred Qualifications

  • Experience with industry-standard astrodynamics tools such as: GMAT, Orekit, AGI STK Astrogator, FreeFlyer

  • Experience with: Multi-target tracking, Data association Space situational awareness systems

  • Familiarity with machine learning applications in:

    • Orbit determination

    • Anomaly detection

    • State estimation

  • Experience with hardware-in-the-loop (HIL) simulations.

  • Strong background in covariance analysis and error propagation.

  • Modern C++ development experience (C++11+).

  • Python development experience (Python 3+).

  • Familiarity with: Git workflows CI/CD systems GitLab CI, Jenkins

Additional Requirements

  • Must be a U.S. Citizen.

  • Dual citizenship is not permitted for this role.

  • Experience with satellite operations or mission analysis is highly valued.

  • Ability to debug and optimize multi-threaded and real-time systems effectively.

Why Join Turion Space?

  • Work on cutting-edge space and defense technologies.

  • Help shape the future of commercial astronautics infrastructure.

  • Collaborate with highly technical, mission-driven teams.

  • Solve challenging real-world aerospace problems with direct operational impact.

  • Contribute to systems supporting next-generation space operations and safety.

Principal Astrodynamics Engineer: $180,000- $270,000

ITAR Requirements:

This position may include access to technology and/or software source code that is subject to U.S. export controls. 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. ยง 1157, or (iv) Asylee under 8 U.S.C. ยง 1158, or be eligible to obtain the required authorizations from the U.S. Department of State.
Benefits:
We offer a comprehensive compensation and benefits package designed to support the well-being and professional growth of our employees. In addition to a competitive base salary and company stock, determined by factors such as job-related knowledge, education, skills, experience, and market demand, full-time employees are eligible for:

  • Equity: Receive equity in Turion Space, letting you benefit from the company's success

  • Health Insurance: Comprehensive medical, dental, and vision coverage for employees and their dependents.

  • Retirement Plans: Access to a 401(k) plan with a 3% Employer Direct Contribution to help you plan for your future.

  • Paid Time Off: Generous vacation days, personal days, sick days, and holidays to ensure you have time to recharge.

  • Parental Leave: Paid parental leave following the birth of a newborn or adoption.

  • Emotional Wellbeing: A no-cost Employee Assistance Program (EAP) to support you and your householdโ€™s emotional health and wellbeing.

  • Professional Development: Opportunities for ongoing internal training, workshops, and courses to advance your skills and career growth.

  • Team Building Activities: Regular social events, team outings, and company-sponsored activities to foster a positive work environment.


We are dedicated to providing a supportive and enriching environment for our team members, recognizing that our collective success is built upon the well-being and satisfaction of each individual.

Turion Space is an Equal Opportunity Employer; employment with Turion Space 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.

Compensation Range: $180K - $270K