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Sim Jobs in Michigan (NOW HIRING)

EDAG, Inc.

Senior Virtual Commissioning Engineer

Troy, MI · On-site

$97K - $134K/yr

EDAG is the United States partner for fe.screen-sim, F.EE GmbH's 3D simulation software for plant planning, digital twins, and virtual commissioning. We are seeking a Senior Virtual Commissioning ...

AceStack LLC

Robotics Data Engineer

Warren, MI

$107K - $128K/yr

... as Isaac Sim and synthetic data generation. • Experience with data labeling tools and annotation workflows at scale. • Hands-on knowledge of TensorFlow and/or PyTorch from a data systems ...

Optimal Inc.

GPU Platform Infrastructure Engineer

Warren, MI · On-site

$100K - $131K/yr

... Isaac Sim simulation, and validation workloads Support platform governance, operational continuity, infrastructure scalability, and CI/CD integration Design and develop GUI-based tools for ...

Optimal Inc.

GPU Platform Infrastructure Engineer

Warren, MI · On-site

$100K - $131K/yr

... Isaac Sim simulation, and validation workloads Support platform governance, operational continuity, infrastructure scalability, and CI/CD integration Design and develop GUI-based tools for ...

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Showing results 1-20

All JobsSim JobsSim Jobs in Michigan

Sim information

See Michigan salary details

$9.6K

$113K

$172.6K

How much do sim jobs pay per year?

As of Jun 9, 2026, the average yearly pay for sim in Michigan is $113,016.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $120,700.00 per year, depending on experience, location, and employer.

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

To thrive as a Simulation Specialist, you typically need a background in healthcare or education, strong understanding of simulation methodologies, and relevant experience or a degree in a related field. Proficiency with simulation software (such as Laerdal, SimMan, or Gaumard), audiovisual systems, and scenario development tools is important. Excellent communication, problem-solving, and organizational skills help Simulation Specialists effectively coordinate training sessions and adapt to changing needs. These competencies ensure realistic, efficient simulation experiences that improve learner outcomes and support institutional goals.

What are 'Sim' jobs?

A 'Sim' job typically refers to roles related to simulation, including simulation engineers, simulation technicians, or professionals who create and manage simulations for training, research, or testing purposes. These jobs are found in industries such as aerospace, healthcare, automotive, and defense. Simulation professionals use specialized software and models to replicate real-world scenarios, allowing organizations to analyze outcomes, improve designs, or train personnel safely and cost-effectively.

What are the main responsibilities of a Simulation Engineer in a typical workweek?

Simulation Engineers are responsible for designing, developing, and analyzing simulation models to test products, processes, or systems in a virtual environment. Throughout a typical week, they collaborate closely with design, engineering, and testing teams to gather requirements, implement simulation scenarios, and interpret results to guide decision-making. They often troubleshoot model issues, optimize performance, and document findings to ensure accuracy and effectiveness. This role frequently involves using specialized software and requires strong communication skills to translate technical results to stakeholders.

What is the difference between Sim vs Data Analyst?

AspectSimData Analyst
Required CredentialsTypically a degree in simulation, engineering, or related fieldsBachelor's degree in statistics, data science, or related fields
Work EnvironmentSimulation labs, engineering firms, or software companiesBusiness, finance, healthcare, or tech industries
Employer & Industry UsageUsed in engineering, manufacturing, and software developmentUsed across various industries for data interpretation and reporting

Sim professionals focus on creating and analyzing simulations, often requiring engineering or technical degrees. Data Analysts interpret data sets to inform business decisions, usually with backgrounds in statistics or data science. While both roles involve data and analysis, Sim is more technical and engineering-oriented, whereas Data Analysts focus on business insights from data.

What are popular job titles related to Sim jobs in Michigan? For Sim jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Sim jobs in Michigan look for? The top searched job categories for Sim jobs in Michigan are:
Sim jobs near you
Infographic showing various Sim job openings in Michigan as of May 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution, with an average salary of $113,016 per year, or $54.3 per hour.
ML Platform Engineer - GPU Infrastructure

ML Platform Engineer - GPU Infrastructure

Optimal Inc.

Warren, MI • On-site

$100K - $131K/yr

Contractor

Posted 7 days ago

Job description

Job Title: ML Platform Engineer - GPU Infrastructure
Job Summary
Support team by designing, implementing, and maintaining the automation and ML workload enablement layer of the GPU cluster platform. This role focuses on optimizing GPU compute environments for AI/ML training and Isaac Sim simulation workloads, integrating GPU jobs into CI/CD pipelines, standardizing runtime environments, and supporting reliable storage and artifact management.
Required Experience
3+ years of experience in ML Platform Engineering, DevOps, Infrastructure Engineering, or related field
Bachelor's or Master's degree in Systems Engineering, Computer Science, Computer Engineering, or related discipline
Responsibilities
Support GPU cluster platforms for AI/ML and simulation workloads
Optimize GPU compute environments for ML training and Isaac Sim execution
Integrate GPU workload execution into CI/CD pipelines
Standardize runtime environments using containers and automation tools
Manage storage, artifacts, and workload outputs
Troubleshoot and improve platform reliability, scalability, and performance
Collaborate with ML, infrastructure, and engineering teams
Required Skills
Experience with Linux, Kubernetes, Docker, and GPU infrastructure
Knowledge of CI/CD tools and automation scripting (Python/Bash)
Experience supporting AI/ML workloads and distributed systems
Familiarity with NVIDIA GPU technologies and containerized environments
Strong troubleshooting and performance optimization skills
Preferred Skills
Experience with Isaac Sim or simulation workloads
Exposure to cloud platforms (AWS, Azure, or GCP)
Knowledge of monitoring and observability tools such as Grafana or Prometheus

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