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Physics Informed Machine Learning Jobs in New Mexico

Degree in Image Science, Field of Engineering, or Physics * Understanding of the enterprise TCPED ... Understanding of Machine Learning and Neural Network algorithms Experience developing engineering ...

Degree in Image Science, Field of Engineering, or Physics * Understanding of the enterprise TCPED ... Understanding of Machine Learning and Neural Network algorithms * Experience developing engineering ...

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Physics Informed Machine Learning information

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 New Mexico? For Physics Informed Machine Learning jobs in New Mexico, the most frequently searched job titles are:
What job categories do people searching Physics Informed Machine Learning jobs in New Mexico look for? The top searched job categories for Physics Informed Machine Learning jobs in New Mexico are:
Infographic showing various Physics Informed Machine Learning job openings in New Mexico as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
R&D Computational Fluid Developer - Soft Material Sciences, Onsite

R&D Computational Fluid Developer - Soft Material Sciences, Onsite

Sandia National Laboratories

Albuquerque, NM • On-site

$102K - $199K/yr

Other

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Sandia National Laboratories rating

9.3

Company rating: 9.3 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

4th of 105 rated laboratories


Job description

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Job ID
698267
Location
Albuquerque, NM
Full/Part Time
Full-Time
Regular/Temporary
Temporary
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About Sandia

Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs:

  • Challenging work with amazing impact that contributes to security, peace, and freedom worldwide
  • Extraordinary co-workers
  • Some of the best tools, equipment, and research facilities in the world
  • Career advancement and enrichment opportunities
  • Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)
  • Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance*

World-changing technologies. Life-changing careers. Learn more about Sandia at: http://www.sandia.gov


*These benefits vary by job classification.

What Your Job Will Be Like

We are seeking a R&D Computational Fluid Developer to support the Soft Material Sciences team.

On any given day, you may be called on to:

  • Develop reduced order models for thin viscoelastic flows and suspension flows in three dimensions.
  • Support algorithm development for population balance models coupled to fluid-thermal transport for precipitation models
  • Run large-scale HPC, cutting-edge simulations of multi-physics foam simulations
  • Conduct research to validate models and publish results
  • Travel as needed to present results at technical conferences and support projects

Due to the nature of the work, the selected applicant must be able to work onsite.

Salary Range

$102,400 - $199,700

*Salary range is estimated, and actual salary will be determined after consideration of the selected candidate's experience and qualifications, and application of any approved geographic salary differential.

Qualifications We Require
  • A Bachelor's degree in a relevant discipline and five (5) years of directly relevant experience, or an equivalent combination of directly relevant education and engineering or scientific experience that demonstrates the knowledge, skills, and ability to perform independent research and development.
  • Ability to obtain a DOE Q clearance
Qualifications We Desire

The ideal R&D S&E Computer Science candidate for Sandia National Laboratories will in addition possess the following:

  • Master's Degree and 5 years of experience in Engineering, Physics, Computer Science, Material Science, Applied Math, or other related fields
  • Theoretical expertise in the physics and mechanics of foams and viscoelastic fluids
  • Demonstrated proficiency in finite element methods and code development for large code projects
  • Experience with high performance computing, parallel simulations and porting software to different machines
  • Demonstrated scientific programming skills including computational modeling and using the Linux operating system
  • Good communication skills as evidenced by a history of publication of results in peer-reviewed journals and external presentations at appropriate scientific conferences

Also, for this posting we are seeking individuals with the following experience:

  • Experience with free surface algorithms such as level set and moving mesh methods
  • Experience maintaining and developing open-source software
  • Experience with user support and multi-organizational collaborations
  • Experience using scientific machine learning
  • Experience with population balance methods especially quadrature method of moments
  • Demonstrated ability to work in large, multi-disciplinary teams
  • Demonstrated ability to solve complex multiscale problems in physics
About Our Team

The Soft Material Sciences R&D Department conducts applied research on the structure and behavior of complex engineered material systems exhibiting coupled physical processes that span multiple length and time scales. This research encompasses theoretical/computational and experimental methods and analysis of energetic (propellants, explosives, pyrotechnics) and soft materials (complex fluids, aerosols, polymers, powders and particles) and multiphase/composite systems. We support partner organizations in scientific assessments for design, production, performance and safety of material systems (e.g., critical components) as well as in the development and manufacturing of novel materials for high consequence, extreme environment applications.

Posting Duration

This posting will be open for application submissions for a minimum of three (3) calendar days, including the 'posting date'. Sandia reserves the right to extend the posting date at any time.

Security Clearance

Sandia is required by DOE to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment need to be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted.

Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment.

EEO

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law.

NNSA Requirements for MedPEDs

If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs.

If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date.


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About Sandia National Laboratories

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Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Albuquerque, NM, US

Year founded

1949