ML Software Engineer Visa Sponsorship Jobs in Michigan
Michigan's ML software engineer market is anchored by automotive AI leaders like Ford, General Motors, and Stellantis, alongside a growing tech presence in Ann Arbor, Detroit, and Grand Rapids. Automaker investment in autonomous vehicle and machine learning systems has made the state a consistent source of visa-sponsored roles for international ML engineers.
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Get Access To All JobsJob 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
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
ML Software Engineer Job Roles in Michigan
See all 45+ ML Software Engineer Jobs in Michigan
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Search ML Software Engineer Jobs in MichiganML Software Engineer Jobs in Michigan: Frequently Asked Questions
Which companies sponsor visas for ml software engineers in Michigan?
Ford Motor Company, General Motors, and Stellantis are among Michigan's most active H-1B visa sponsors for ML software engineers, driven by their autonomous vehicle and predictive analytics programs. Tech-focused employers like Waymo's Detroit operations, Quicken Loans parent Rocket Companies, and major university research arms at the University of Michigan also sponsor ML engineering roles regularly.
Which visa types are most common for ml software engineer roles in Michigan?
The H-1B is the most common visa category for ML software engineers in Michigan, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, machine learning, or a related field. Some employers, particularly those with Canadian or Mexican national candidates, pursue TN visas under the USMCA. O-1A petitions appear less frequently but are filed for candidates with strong research or publication records.
Which cities in Michigan have the most ml software engineer sponsorship jobs?
Ann Arbor generates the highest concentration of ML software engineering sponsorship opportunities, anchored by the University of Michigan and its surrounding tech and automotive AI spinoffs. Detroit and its metro suburbs, including Dearborn and Troy, follow closely given the headquarters presence of the major automakers. Grand Rapids is a smaller but growing market, with manufacturing technology companies increasingly investing in ML capabilities.
How to find ml software engineer visa sponsorship jobs in Michigan?
Migrate Mate filters job listings specifically by visa sponsorship availability, which cuts out the guesswork of identifying willing employers. For ML software engineer roles in Michigan, you can search by state and role to surface active openings from automotive technology companies, university-affiliated research labs, and enterprise software firms. Migrate Mate's focus on sponsorship-confirmed roles makes it a practical starting point for international candidates targeting Michigan.
Are there any Michigan-specific considerations for ml software engineers seeking visa sponsorship?
Michigan's ML software engineer market is heavily shaped by automotive industry demand, so candidates with experience in computer vision, sensor fusion, or predictive maintenance have a stronger positioning with the state's largest sponsors. The University of Michigan and Michigan State University create a notable pipeline of ML talent that employers are familiar with, meaning candidates from these programs or similar research backgrounds may find sponsorship conversations more straightforward. Prevailing wage requirements apply statewide and are determined by the Department of Labor based on the specific role and metro area.
What is the prevailing wage for sponsored ml software engineer jobs in Michigan?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.