ZipRecruiter

Log In

1

Computational Modeling Simulation Multiphysics Jobs in Rochester, MI

Cadence Inc

Principal Customer Service Engineer

Livonia, MI · On-site

$92K - $171K/yr

This team provides advanced simulation services across Automotive, Aerospace, Defense, Medical, and ... Minimum 7-10 years of professional experience with Multiphysics CAE tools (e.g., Nastran, Ansys ...

next page

Showing results 1-20

All JobsComputational Modeling Simulation Multiphysics JobsComputational Modeling Simulation Multiphysics Jobs in Rochester, MI

Computational Modeling Simulation Multiphysics information

See Rochester, MI salary details

$35.9K

$93.2K

$132.5K

How much do computational modeling simulation multiphysics jobs pay per year?

As of Jul 9, 2026, the average yearly pay for computational modeling simulation multiphysics in Rochester, MI is $93,201.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,300.00 and $119,200.00 per year, depending on experience, location, and employer.

What is the difference between Computational Modeling Simulation Multiphysics vs Computational Engineer?

AspectComputational Modeling Simulation MultiphysicsComputational Engineer
CredentialsTypically requires degrees in engineering, physics, or related fields; certifications in simulation software are commonSimilar educational background; often holds engineering degrees and software certifications
Work EnvironmentPrimarily in R&D labs, engineering firms, or manufacturing settings focusing on complex simulationsInvolved in product development, software development, or systems design in various industries
Industry UsageUsed in aerospace, automotive, energy, and manufacturing for advanced simulationsApplied across industries for designing, analyzing, and optimizing systems and products

While both roles involve computational skills and engineering principles, Computational Modeling Simulation Multiphysics specializes in complex, multi-physics simulations, whereas Computational Engineer focuses on designing and implementing computational solutions across various engineering projects.

What are the key skills and qualifications needed to thrive as a Computational Modeling Simulation Multiphysics Engineer, and why are they important?

A strong background in physics, engineering, mathematics, and computational science—typically with an advanced degree—is essential for a Computational Modeling Simulation Multiphysics Engineer. Proficiency in simulation software such as ANSYS, COMSOL Multiphysics, MATLAB, and programming languages like Python or C++ is commonly required, along with familiarity with high-performance computing environments. Analytical thinking, problem-solving skills, and effective communication set standout professionals apart in this field. These capabilities enable accurate modeling of complex physical phenomena, efficient collaboration, and successful project outcomes in research and industry settings.

What is computational modeling simulation multiphysics?

Computational modeling simulation multiphysics refers to the use of computer-based models to simulate and analyze systems that involve multiple interacting physical phenomena—such as fluid dynamics, heat transfer, electromagnetics, and structural mechanics—all at once. This approach allows researchers and engineers to predict complex real-world behavior, optimize designs, and reduce the need for expensive prototypes. Multiphysics simulations are widely used in industries like aerospace, automotive, energy, and biomedical engineering, where accurate modeling of coupled physical processes is critical.

What are some common challenges faced by professionals in Computational Modeling Simulation Multiphysics roles, and how can they be addressed?

One of the main challenges in Computational Modeling Simulation Multiphysics roles is managing the complexity of integrating multiple physical phenomena, such as thermal, structural, and fluid dynamics, into a single simulation. This often requires a deep understanding of both the underlying physics and the numerical methods used by simulation software. Collaborating closely with domain experts and maintaining clear communication within multidisciplinary teams can help address these challenges. Additionally, staying updated with advances in simulation tools and best practices through continuous learning is key to overcoming technical hurdles and ensuring accurate results.
Computational Modeling Simulation Multiphysics jobs near you
Senior Researcher, AI/ML Battery Modeler

Senior Researcher, AI/ML Battery Modeler

General Motors

Warren, MI • On-site

Full-time

Re-posted yesterday

General Motors rating

8.0

Company rating: 8.0 out of 10

Based on 308 frontline employees who took The Breakroom Quiz

6th of 44 rated automakers

Job description

Job Description
Senior Researcher, AI/ML Battery Modeler
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard - from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
Why GM Battery R&D?
At GM, your work won't sit on a shelf - you'll see it power real vehicles on the road. You'll move ideas from theory → model → product, working at the intersection of fundamental science, advanced modeling, and real-world impact. Our Research team offers the opportunity to:
  • Work alongside globally recognized experts across battery materials, modeling, and systems engineering
  • Tackle open-ended, high-impact problems spanning electrochemistry, thermal science, mechanics, data science, and AI
  • Leverage cutting-edge experimental facilities, advanced instrumentation, and high-performance computing
  • Use state-of-the-art AI/ML and scientific modeling tools to generate new insights
  • Be supported to publish and present original research in leading journals and top conferences
  • Collaborate with battery suppliers, tier 1 research universities, national labs, and DOE/NSF-funded programs
  • See your research directly implemented in GM EVs at a global scale
  • Grow across technical, leadership, and research career paths in a deeply technical environment

The Role
As a Senior Researcher, you will shape the future of electric mobility by developing next-generation battery models using advanced AI/ML techniques. You'll build physics-informed, data-driven, and hybrid models - while defining new modeling approaches that push the boundaries of battery science and AI.
What You'll Do
  • Develop and deploy advanced AI/ML models, including physics-informed and hybrid approaches, to predict battery performance, aging, and degradation
  • Build and refine Multiphysics models that couple electrochemical, thermal, and mechanical behavior
  • Identify and develop novel modeling approaches for next-generation battery chemistries and systems
  • Turn complex experimental and simulation datasets into actionable insights using Python-based scientific computing and ML frameworks
  • Partner with engineering teams to translate research into production, integrating models into battery management systems (BMS) and product workflows
  • Publish and present your work through peer-reviewed journals, conferences, and technical forums
  • Drive technical direction through deep problem solving, collaboration, and influence across disciplines
  • Contribute to intellectual property and patents for new algorithms and modeling innovations

Your Skills & Abilities (Required Qualifications)
  • Master's or Ph.D. in Electrical Engineering, Physics, Computer Science, Materials Science, Chemical Engineering, or related field with a focus on AI/ML
  • Proven experience developing AI/ML models, ideally applied to batteries, electrochemical systems, or Multiphysics domains
  • Strong Python proficiency (required) with experience in ML/scientific libraries (e.g., PyTorch, TensorFlow, NumPy, SciPy)
  • Strong analytical skills with the ability to extract insight from complex datasets
  • Demonstrated research experience (e.g., publications, technical reports, or conference presentations)
  • Ability to clearly communicate complex technical concepts to diverse audiences
  • Strong collaboration and problem-solving skills, with the ability to influence across teams
  • Commitment to continuous learning and advancing the state of the art in AI/ML and battery technology

What will give you a competitive edge (Preferred Qualifications)
  • Experience with physics-informed or hybrid modeling approaches
  • Background in battery degradation, aging, or lifetime modeling
  • Familiarity with battery management systems (BMS) or system-level integration
  • Experience with large-scale datasets or high-performance computing environments
  • Contributions to patents, intellectual property, or external research collaborations
  • Experimental experience with measurements of battery material/electrochemical properties
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).This role is categorized as onsite. This means the selected candidate is expected to report to a specific location on a full-time basis.This job may be eligible for relocation benefits.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

What General Motors employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

General Motors logo

About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908

View All General Motors Jobs

Apply