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Physics Informed Machine Learning Jobs in Broomfield, CO

Katalyst Space Technologies

Senior GNC Engineer

Broomfield, CO · On-site

$140K - $240K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Evaluate and select appropriate techniques to achieve mission such as machine learning methods, physics-informed solutions, stochastic methods, Kalman Filters, etc. * Assist in proposal capture ...

University of Colorado

PostDoctoral Associate

Boulder, CO · On-site

  • Medical

  • Dental

  • Retirement

  • PTO

The candidate is expected to lead artificial intelligence / machine learning centered efforts that also couple to physics analysis efforts. CU is an Equal Opportunity Employer and complies with all ...

Vantor

Senior Algorithm Engineer

Westminster, CO · On-site

$106K - $145K/yr

... machine learning and computer vision technologies. • Collaborate with software engineers ... Mathematics, Physics, Remote Sensing, Geospatial Sciences, or a related technical field. • ...

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

As of Aug 20, 2026, the average hourly pay for physics informed machine learning in Broomfield, CO is $20.21, according to ZipRecruiter salary data. Most workers in this role earn between $12.60 and $25.67 per hour, depending on experience, location, and employer.

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.

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Physics Informed Machine Learning jobs near you
Infographic showing various Physics Informed Machine Learning job openings in Broomfield, CO as of August 2026, with employment types broken down into 6% Internship, 42% Full Time, 45% Part Time, and 7% Contract. Highlights an 100% In-person job distribution, with an average salary of $42,047 per year, or $20.2 per hour.

Senior Guidance, Navigation, and Control Engineer

Katalyst Space Technologies

Broomfield, CO

$140K - $240K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 26 days ago

Job description

Key Responsibilities:

Architecture and Investigation

  • Architect solutions necessary to accomplish space mission objectives around space domain awareness and RPOD with an emphasis on autonomy, from both a hardware and software perspective.
  • Evaluate and select appropriate techniques to achieve mission such as machine learning methods, physics-informed solutions, stochastic methods, Kalman Filters, etc.
  • Assist in proposal capture efforts with feasibility analysis and engage with private/public partners, Department of Defense, Other Government Agencies, and other commercial partnerships.

Architecture Design

  • Develop architecture, lead trade studies and lead GNC team from conceptualization to flight for RPOD missions
  • Design algorithms, simulations, and tools for orbit determination, state estimation, uncertainty propagation to support SDA efforts
  • Analyze and source datasets for training and validation or algorithm performance.
  • Build and test modeling and simulation tools for orbital/cislunar dynamics, sensor modeling, and visualization.
  • Six degree of freedom modeling, simulation and validation of space craft dynamics, sensors and algorithms, including for RPOD missions.

Implementation

  • Collaborate with the software and GNC teams to implement algorithm in flight software.
  • Heavily support hardware-in-the-loop testing for integrated system validation.
  • Design concepts of operations (CONOPS) that balance thermal, power, momentum and communications for spacecraft missions.
  • Provide mission operations training and support.

Qualifications:

Required:

  • Bachelor's degree in a technical engineering discipline
  • 3+ years of experience working in guidance, navigation, and control
  • Software development experience in Python
  • Experience developing, debugging, and deploying GNC sensors, effectors and algorithms that have been used in real world applications/projects
  • Ability to work in a fast-paced, autonomously driven, and demanding start-up atmosphere
  • Proven ability to lead a project from conception to completion

Desired:

  • Experience with cradle-to-grave spacecraft design, testing, verification/validation and in-orbit mission operations
  • Expertise in either guidance, navigation or control
  • Experience with multi-body astrodynamics
  • Experience with Git, Linux and Basilisk
  • Software development experience in C/C++
  • Capable of identifying and solving complex problems with little to no supervision or direction
  • Excellent communication skills both written and verbal

Additional Requirements: Must be willing to work extended hours and weekends as needed.

Compensation and Benefits: Your 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. The anticipated salary range for this role is $140,000 - $240,000 annually.

Base salary is just one part of your total rewards package at Katalyst. You will also be eligible for long-term incentives, in the form of the Employee Stock Option and Equity Plan, as well as a relocation bonus and other discretionary bonuses. You will also receive access to comprehensive medical, vision, and dental coverage, and unlimited Paid Time Off.

At Katalyst our work on projects involving the U.S. Department of Defense requires adherence to International Traffic in Arms Regulations (ITAR), 22 C.F.R. Parts 120-130, which requires compliance with U.S. export laws before allowing employees to perform certain positions. Currently, our available roles necessitate access to ITAR-controlled information, and as a result, Katalyst would have to ensure any non-US person is authorized access to ITAR information before the commencement of employment. We are committed to equal employment opportunities and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

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