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Computational Mathematics Jobs in Michigan (NOW HIRING)

Senior Software Engineer

Zeeland, MI · On-site

$112K - $148K/yr

A Bachelor's degree in Computer Science, CIS, Mathematics (computational geometry; linear algebra; vector/tensor analysis), or other relevant engineering fields * 6+ years of development experience ...

Senior Software Engineer

Zeeland, MI · On-site

$112K - $148K/yr

A Bachelor's degree in Computer Science, CIS, Mathematics (computational geometry; linear algebra; vector/tensor analysis), or other relevant engineering fields * 6+ years of development experience ...

Emphasizes mathematical rigor in chemical reasoning and connects physical chemistry to materials science, nanotechnology, and computational chemistry applications. * Curriculum Awareness & Adaptive ...

Emphasizes mathematical rigor in chemical reasoning and connects physical chemistry to materials science, nanotechnology, and computational chemistry applications. * Curriculum Awareness & Adaptive ...

Emphasizes mathematical rigor in chemical reasoning and connects physical chemistry to materials science, nanotechnology, and computational chemistry applications. * Curriculum Awareness & Adaptive ...

Showing results 21-40

Computational Mathematics information

See Michigan salary details

$9

$21

$38

How much do computational mathematics jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for computational mathematics in Michigan is $21.86, according to ZipRecruiter salary data. Most workers in this role earn between $15.10 and $24.95 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a computational mathematician, and why are they important?

To thrive as a Computational Mathematician, you need a strong background in mathematics, numerical analysis, and computer science, often supported by an advanced degree in mathematics or a related field. Proficiency with programming languages like Python, MATLAB, or C++, and familiarity with specialized mathematical software and high-performance computing systems are typically required. Analytical thinking, problem-solving, and effective collaboration are essential soft skills for addressing complex computational challenges. These skills and qualities are crucial for developing accurate models, solving real-world problems, and advancing research or industrial applications.

What is the difference between Computational Mathematics vs Data Scientist?

AspectComputational MathematicsData Scientist
Required CredentialsMathematics, Computer Science degrees, often with advanced courseworkStatistics, Computer Science, or related degrees, often with data analysis certifications
Work EnvironmentResearch labs, academia, tech companies focusing on algorithm developmentBusiness, tech firms, healthcare, analyzing large datasets
Employer & Industry UsageResearch institutions, universities, R&D departmentsTech companies, finance, marketing, healthcare
Common Search & Comparison IntentUnderstanding technical roles involving algorithms and modelingAnalyzing data to inform business decisions

Computational Mathematics focuses on developing algorithms, mathematical models, and simulations, often in research or academic settings. Data Scientists analyze large datasets to extract insights and support decision-making in various industries. While both roles require strong analytical skills, Computational Mathematics emphasizes theoretical and algorithmic development, whereas Data Science centers on practical data analysis and visualization.

How do computational mathematicians typically collaborate with other professionals on interdisciplinary projects?

Computational mathematicians often work closely with professionals from fields such as engineering, computer science, physics, and data science to tackle complex, real-world problems. Collaboration usually involves translating mathematical models into algorithms, developing simulations, and analyzing large datasets. Effective communication is key, as computational mathematicians must explain technical concepts to team members with varying expertise. These interdisciplinary projects provide opportunities to broaden your skill set and contribute to innovative solutions across industries, from finance to healthcare.

What do computational mathematicians do?

Computational mathematicians develop and apply mathematical models, algorithms, and numerical methods to solve complex scientific, engineering, and data analysis problems. They often work with computer programming, simulations, and high-performance computing to analyze large datasets or optimize systems across various industries.
What job categories do people searching Computational Mathematics jobs in Michigan look for? The top searched job categories for Computational Mathematics jobs in Michigan are:
What cities in Michigan are hiring for Computational Mathematics jobs? Cities in Michigan with the most Computational Mathematics job openings:
Infographic showing various Computational Mathematics job openings in Michigan as of July 2026, with employment types broken down into 86% Full Time, 7% Part Time, and 7% Nights. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $45,467 per year, or $21.9 per hour.

2026 Fall Intern - Research & Development: AI/ML

General Motors

Warren, MI • On-site

$14 - $18.75/hr

Full-time

Re-posted 26 days ago


General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 306 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,272 frontline employees who took The Breakroom Quiz


Job description

Job Description
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.).
To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report in office three times per week, at minimum [or other frequency dictated by the business].
The start date for this internship is September 7, 2026.
The Team
At GM, we craft products people crave and experiences they never forget. It all starts with research and development. We are looking for R&D Interns to craft, design, and develop groundbreaking concepts and technologies that will help shape the future of mobility.
In this internship, you will plan and execute collaborative research that applies advanced artificial intelligence, machine learning, and computational methods to complex vehicle and mobility challenges. Projects may support areas such as vehicle development process acceleration, predictive engineering, vehicle safety, energy and propulsion systems, and next-generation research methods that enable faster, smarter, and more scalable engineering decisions.
You will work with technical leaders across GM Research and Development to explore innovative approaches that combine data, physics-based understanding, and modern AI/ML techniques to solve real-world problems. Our culture of innovation gives you the opportunity to be creative, contribute to impactful research, and help develop technologies that could influence the vehicles and systems of the future.
What You Will Do
  • Conduct research and/or experiments to collect required data and validate research ideas
  • Apply AI/ML, data science, and computational methods to engineering and research problems
  • Support development of methods, models, tools, or workflows that accelerate vehicle development and research outcomes
  • Assist with analysis of large, complex datasets to generate insights and improve prediction, automation, or decision-making
  • Collaborate with technical teams to evaluate emerging technologies and identify opportunities for application in automotive research
  • Document and present results; depending on the assignment, work may lead to external publications and/or intellectual property
  • Develop and execute specific research plans, including concept generation, development, implementation, and validation
  • Collaborate effectively with peers, management, operations groups, and outside organizations

Required Qualifications
  • U.S. citizenship required to comply with federal government contract provision expressly restricting role to U.S. citizens
  • Must be currently enrolled in a PhD program
  • Pursuing a degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, Mechanical Engineering, Robotics, Applied Mathematics, or a closely related science/engineering field
  • Strong foundation in AI/ML, statistical modeling, data analysis, or computational methods
  • Programming experience in Python and/or other relevant languages for machine learning, analytics, or scientific computing
  • Ability to work both independently and in teams
  • Consistently demonstrate critical thinking and strong teamwork
  • Effective verbal and written communication skills
  • Excellent persuasion, active listening, delegation, and leadership skills to work effectively with GM internal and external customers

What Will Give You a Competitive Advantage (Preferred Qualifications)
  • Prior research, internship, or project experience applying AI/ML to engineering, physical systems, or large-scale data problems
  • Experience with machine learning model development, evaluation, and deployment workflows
  • Knowledge and experience of physics-based dynamic system modeling
  • Experience with NeruoSymbolic AI or Causal/Explainable AI or Emotion/Affective AI
  • Familiarity with generative AI, large language models, deep learning, or physics-informed/data-driven modeling approaches
  • Experience working with vehicle, test, simulation, sensor, or other engineering datasets
  • Demonstrated ability to translate technical findings into clear recommendations for technical and non-technical audiences
  • Outstanding interpersonal and relationship management skills to effectively collaborate with varying levels of the organization as needed
  • Demonstrates leadership in field of study, extra-curricular activities, or service organizations
  • Strong critical thinking and analytical skills, especially the ability to synthesize large amounts of data involving multiple variables into comprehensive, impactful insights
  • Willingness to ask questions, take initiative, and be inventive
  • Emerging partnership and teamwork skills and ability to learn from and share knowledge with co-workers in a rapidly moving environment
  • High level of integrity, ability to deal with ambiguity, and takes initiative/self-directed
  • Evidence of strong character with integrity, honesty, accountability, and trust

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.

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About General Motors

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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