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Physics Simulation Python Jobs in Michigan (NOW HIRING)

Niowave Inc.

Controls Engineer

Lansing, MI

$76K - $98K/yr

... simulation software * Maintain detailed system documentation, including P amp;IDs and control ... Knowledge of C++ or Python * Embraces and models the Niowave Core Values of Teamwork, Courage ...

General Motors

Battery Systems Researcher

Warren, MI · Hybrid

... Simulation: * Strong foundation in physics-based modeling for continuous and discrete systems using ... Proficiency in Matlab, GT-Thermal, Python, including ML frameworks such as PyTorch or TensorFlow ...

SiTime Corporation

MEMS Engineer II

Dexter, MI · On-site

$93K - $128K/yr

MS or PhD in MEMS, Electrical Engineering or Mechanical Engineering, Physics or equivalent. PhD ... Proficiency in MATLAB or Python for data analysis * Strong hands-on RF lab skills * Strong written ...

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Physics Simulation Python information

What is the difference between Physics Simulation Python vs Mechanical Engineer?

AspectPhysics Simulation PythonMechanical Engineer
Required CredentialsProgramming skills, knowledge of physics, often a degree in physics or computer scienceMechanical engineering degree, professional licensure in some regions
Work EnvironmentSoftware development, research labs, simulation environmentsDesign offices, manufacturing plants, R&D departments
Industry UsageSimulation software development, research, academiaProduct design, manufacturing, systems optimization

Physics Simulation Python focuses on developing and implementing physics-based simulations using Python programming, often in research or software development contexts. Mechanical Engineers apply engineering principles to design, analyze, and manufacture mechanical systems. While both roles require a strong understanding of physics, Physics Simulation Python emphasizes coding and simulation, whereas Mechanical Engineering involves practical design and application in physical systems.

What are the key skills and qualifications needed to thrive as a Physics Simulation Python Developer, and why are they important?

To excel as a Physics Simulation Python Developer, you need a strong background in physics, mathematics, and proficiency in Python programming, often supported by a degree in physics, engineering, or computer science. Familiarity with simulation libraries (such as NumPy, SciPy, PyBullet, or SimPy), version control systems like Git, and experience with visualization tools are commonly required. Analytical thinking, problem-solving abilities, and effective collaboration are standout soft skills in this role. These skills enable the development of accurate, efficient simulations and foster productive teamwork in research or engineering projects.

What are some common challenges faced by professionals working in Physics Simulation with Python, and how can they be addressed?

Professionals in Physics Simulation with Python often encounter challenges such as optimizing simulation performance, ensuring numerical accuracy, and integrating complex libraries (e.g., NumPy, SciPy, PyBullet) into larger workflows. Addressing these issues typically involves using efficient coding practices, leveraging vectorized operations, and validating results with analytical solutions or experimental data. Collaboration with domain experts and regular code reviews can also help maintain code reliability and project scalability. Staying updated with the latest simulation frameworks and actively participating in open-source communities are excellent ways to overcome technical hurdles.

What is a Physics Simulation Python developer?

A Physics Simulation Python developer is a professional who uses the Python programming language to design, implement, and analyze simulations that model physical systems and phenomena. These simulations can range from simple particle motion to complex fluid dynamics or electromagnetic fields, and are widely used in research, engineering, gaming, and education. The developer typically utilizes scientific libraries such as NumPy, SciPy, and PyBullet, and may also work with visualization tools to present simulation results. Their work helps in understanding real-world physics problems, testing hypotheses, or creating realistic interactive environments.
What are popular job titles related to Physics Simulation Python jobs in Michigan? For Physics Simulation Python jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Physics Simulation Python jobs in Michigan look for? The top searched job categories for Physics Simulation Python jobs in Michigan are:
What cities in Michigan are hiring for Physics Simulation Python jobs? Cities in Michigan with the most Physics Simulation Python job openings:
Physics Simulation Python jobs near you
Reliability Data Scientist

Reliability Data Scientist

Ford Motor Company

Dearborn, MI • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted 12 days ago

Job description

Job Description
We made history and now we work to transform the future - for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.
Product Development uses design thinking & user experience methods to deliver breakthrough products and services that delight our customers. We bring innovative, exciting, and sustainable ideas to life. We have opportunities around the world for you to contribute to advancements in autonomy, electrification, smart mobility technologies, and more!
At Ford, Reliability is at the core of everything we do. The Reliability Data Scientist is a specialized role that sits at the intersection of engineering, statistics, and machine learning. In this position, you will leverage large-scale datasets-including telematics, warranty claims, manufacturing logs, and sensor data-to predict product life cycles, identify failure modes, and drive proactive engineering improvements. Your goal is to transform data into actionable insights that improve product quality, reduce warranty costs, and enhance the customer experience.
Responsibilities
  • Predictive Modeling: Develop and deploy statistical models to predict component and system failures. This includes utilizing survival analysis, degradation modeling, and accelerated life testing (ALT) data.
  • Statistical Analysis: Apply advanced statistical methods to analyze censored data. You will frequently perform Weibull analysis and scale analysis to large data sets.
  • Root Cause Investigation: Partner with Reliability and Quality Engineering teams to identify the "why" behind failures using anomaly detection and correlation analysis on fleet-wide data.
  • Telematics & IoT Integration: Build pipelines to process high-frequency sensor data from the field to monitor real-time "health scores" for complex systems.
  • Design for Reliability (DfR): Provide data-driven recommendations to design teams during the development phase to ensure new products meet or exceed reliability targets.
  • Automated Reporting: Design and maintain dashboards that track Key Performance Indicators (KPIs) such as Mean Time Between Failures, Mean Time To Failure, and Repairs per Thousand.
  • Simulation: Use Monte Carlo simulations to estimate system-level reliability based on individual component performance and redundancy configurations.

Qualifications
Required Qualifications
  • Education: Master's Degree in Data Science, Statistics, Reliability Engineering, Systems Engineering, or a related quantitative field (or a Bachelor's Degree in a related field with 5+ years of equivalent professional experience)
  • Experience: 5+ years of experience in a data science role, preferably within manufacturing, automotive, aerospace, or energy sectors.
  • Statistical Expertise: Deep understanding of probability distributions (Normal, Lognormal, Exponential, and Weibull) and their applications in reliability.
  • Customer Focus: Understanding Ford customers and their desire for dependability, uptime and low total cost of ownership.

Technical Skills
  • Programming: Proficiency in Python (Pandas, NumPy, Scikit-learn, PyMC3/Stan) or R (survival, flexsurv).
  • Data Management: Advanced SQL skills for querying large relational databases. Experience with Big Data tools (Spark, Hadoop, or Snowflake) is highly preferred.
  • Reliability Tools: Familiarity with industry-standard software such as ReliaSoft (Weibull++, BlockSim) or JMP.
  • Mathematics: Strong grasp of calculus-based statistics, specifically regarding hazard and reliability functions
  • Visualization: Experience with Tableau, Power BI, or Matplotlib/Seaborn for communicating complex statistical trends to non-technical stakeholders.
  • Physics of Failure: Knowledge of Physics of Failure (PoF) and how it integrates with empirical data models.

Soft Skills & Competencies
  • Analytical Rigor: A methodical approach to problem-solving and a high degree of attention to detail regarding data integrity.
  • Cross-functional Collaboration: Ability to bridge the gap between data science and traditional hardware engineering.
  • Communication: Capable of translating complex mathematical findings into business relevant strategies

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:
  • Immediate medical, dental, vision and prescription drug coverage
  • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up childcare and more
  • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
  • Vehicle discount program for employees and family members and management leases
  • Tuition assistance
  • Established and active employee resource groups
  • Paid time off for individual and team community service
  • A generous schedule of paid holidays, including the week between Christmas and New Year's Day
  • Paid time off and the option to purchase additional vacation time.

This position is leadership level 6 and ranges from $115,500-$218,100.
Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.
For more information on salary and benefits, click here: https://fordcareers.co/LL6
Visa sponsorship is not available for this position.
Domestic relocation is available for this position.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week.
#LI-Hybrid
#LI-PW1
About Us
At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.
About the Team
Ford Product Development is utilizing Design Thinking & User Experience methods to deliver breakthrough products and services that will delight our customers. Our employees are laser-focused on bringing innovative, exciting, and sustainable ideas to life. From autonomy and electrification, to smart mobility technologies, our Product Development teams around the world are working together with excitement to make smart vehicles for a smart world.
Ford logo

About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982

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