Science & Research TN Sponsorship Jobs in Michigan
Michigan's science and research sector spans pharmaceutical manufacturing in Kalamazoo, automotive R&D in the Detroit metro, and university-affiliated labs at institutions like the University of Michigan and Michigan State University. Canadian and Mexican nationals in qualifying scientific and research occupations can pursue TN visa sponsorship with Michigan employers actively hiring in these fields.
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Get Access To All JobsPosition Description:
Cloud Prognostics Engineer (Systems Engineer) MBSE methodologies using tools like SysML and MagicDraw. The engineer must be capable of defining system boundaries, establishing logical and physical architectures, mapping interface definitions, and allocating prognostic functions across different physical components (e.g., deciding which calculations run on a local sensor, the central gateway, or the cloud).
Using MATLAB and Simulink to design control logic, model physical system dynamics, and auto-generate production-grade, highly efficient C++ code. The engineer must understand how to configure solver settings, manage data types (fixed-point vs. floating-point), and ensure the generated code integrates seamlessly into automotive operating systems.
Hands-on experience operating dynamic laboratory environments, including dyno testing and e-Daq systems.
The engineer must know how to select, place, and calibrate physical sensors (like accelerometers and strain gauges) on prototype vehicles, capture high-fidelity physical data, and prepare those datasets for algorithmic analysis.
Deep expertise in performing safety and security assessments, including FMEA (Failure Mode and Effects Analysis), FMEDA, and cybersecurity threat modeling.
The engineer must design the system to comply with ISO 26262 (determining ASIL ratings and designing fail-safe/fail-degraded states) and ISO 21434 to ensure the prognostic pipeline is secure from edge to cloud. Designing optimized network communication and transport protocols.
This includes using Gherkin to model behavioral scenarios of cloud-to-vehicle modem communications, designing dynamic data-triggering strategies (e.g., only uploading detailed vibration spectra when an anomaly threshold is crossed), and optimizing payload serialization to minimize data transmission costs.
Strong proficiency in using SQL on cloud platforms like Google Cloud Platform (GCP) to partition, decode, and analyze raw CAN bus and sensor telemetry.
The engineer must know how to map raw binary hex logs back to human-readable physical values using database-defined translation tables (such as DBC or ARXML databases).
Advanced capability in eliciting, documenting, and tracing complex, multi-disciplinary requirements using Application Lifecycle Management (ALM) tools like Jama, Jira, and Team Center.
The engineer must ensure seamless traceability from high-level customer experience goals down to software requirements, hardware interfaces, and Design Verification Plans (DVP).
In-depth knowledge of automotive communication protocols, including CAN, LIN, and Automotive Ethernet.
Practical application of Robust Engineering principles, specifically creating Parameter Diagrams (P-Diagrams) to identify system inputs, desired outputs, error states, control factors (design parameters), and noise factors (environmental, wear, manufacturing tolerances). This ensures the algorithm is tuned to be highly robust against false positives. Ability to connect technical engineering metrics (such as algorithm accuracy, false-alarm rates) to real-world quality indicators like Net Promoter Score (NPS), JD Power ratings, and Vehicle Repair rates.
Skills Required:
- C++
- MATLAB modeling
- MATLAB and C++ - Ability to model using MATLAB Simulink and generate C++ code for our prognostics degradation models.
Experience Required:
Master's degree with 5+ years of automotive experience in engineering and/or data analytics. 5+ years of proven knowledge of Robust Engineering Fundamentals including defining requirements, DFMEA, P-Diagrams and validation. Knowledge of vehicle architecture and sensors for diagnostics and prognostics feature development. Monitor, prioritize and drive actions to improve on traditional Quality Metrics: Net Promoter Score, Vehicle Repairs, JD Power, Customer Escalations to improve feature performance. Experience working with system modeling language (MagicDraw) and process/interface mapping. Experience working with Atlassian JIRA, JAMA and Team Center applications (VSEM, etc.) Ability to clearly communicate technical ideas/findings to cross functional engineering teams.
Education Required:
Master's Degree
HYBRID / 4 days per week in the office
Position Description:
Cloud Prognostics Engineer (Systems Engineer) MBSE methodologies using tools like SysML and MagicDraw. The engineer must be capable of defining system boundaries, establishing logical and physical architectures, mapping interface definitions, and allocating prognostic functions across different physical components (e.g., deciding which calculations run on a local sensor, the central gateway, or the cloud).
Using MATLAB and Simulink to design control logic, model physical system dynamics, and auto-generate production-grade, highly efficient C++ code. The engineer must understand how to configure solver settings, manage data types (fixed-point vs. floating-point), and ensure the generated code integrates seamlessly into automotive operating systems.
Hands-on experience operating dynamic laboratory environments, including dyno testing and e-Daq systems.
The engineer must know how to select, place, and calibrate physical sensors (like accelerometers and strain gauges) on prototype vehicles, capture high-fidelity physical data, and prepare those datasets for algorithmic analysis.
Deep expertise in performing safety and security assessments, including FMEA (Failure Mode and Effects Analysis), FMEDA, and cybersecurity threat modeling.
The engineer must design the system to comply with ISO 26262 (determining ASIL ratings and designing fail-safe/fail-degraded states) and ISO 21434 to ensure the prognostic pipeline is secure from edge to cloud. Designing optimized network communication and transport protocols.
This includes using Gherkin to model behavioral scenarios of cloud-to-vehicle modem communications, designing dynamic data-triggering strategies (e.g., only uploading detailed vibration spectra when an anomaly threshold is crossed), and optimizing payload serialization to minimize data transmission costs.
Strong proficiency in using SQL on cloud platforms like Google Cloud Platform (GCP) to partition, decode, and analyze raw CAN bus and sensor telemetry.
The engineer must know how to map raw binary hex logs back to human-readable physical values using database-defined translation tables (such as DBC or ARXML databases).
Advanced capability in eliciting, documenting, and tracing complex, multi-disciplinary requirements using Application Lifecycle Management (ALM) tools like Jama, Jira, and Team Center.
The engineer must ensure seamless traceability from high-level customer experience goals down to software requirements, hardware interfaces, and Design Verification Plans (DVP).
In-depth knowledge of automotive communication protocols, including CAN, LIN, and Automotive Ethernet.
Practical application of Robust Engineering principles, specifically creating Parameter Diagrams (P-Diagrams) to identify system inputs, desired outputs, error states, control factors (design parameters), and noise factors (environmental, wear, manufacturing tolerances). This ensures the algorithm is tuned to be highly robust against false positives. Ability to connect technical engineering metrics (such as algorithm accuracy, false-alarm rates) to real-world quality indicators like Net Promoter Score (NPS), JD Power ratings, and Vehicle Repair rates.
Skills Required:
- C++
- MATLAB modeling
- MATLAB and C++ - Ability to model using MATLAB Simulink and generate C++ code for our prognostics degradation models.
Experience Required:
Master's degree with 5+ years of automotive experience in engineering and/or data analytics. 5+ years of proven knowledge of Robust Engineering Fundamentals including defining requirements, DFMEA, P-Diagrams and validation. Knowledge of vehicle architecture and sensors for diagnostics and prognostics feature development. Monitor, prioritize and drive actions to improve on traditional Quality Metrics: Net Promoter Score, Vehicle Repairs, JD Power, Customer Escalations to improve feature performance. Experience working with system modeling language (MagicDraw) and process/interface mapping. Experience working with Atlassian JIRA, JAMA and Team Center applications (VSEM, etc.) Ability to clearly communicate technical ideas/findings to cross functional engineering teams.
Education Required:
Master's Degree
HYBRID / 4 days per week in the office
TN Science & Research Job Roles in Michigan
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Search Science & Research Jobs in MichiganScience & Research TN Sponsorship Jobs in Michigan: Frequently Asked Questions
Which science and research companies sponsor TN visas in Michigan?
Michigan employers with established TN visa sponsorship patterns in science and research include pharmaceutical companies in the Kalamazoo-Battle Creek corridor, automotive research divisions headquartered in metro Detroit, and life sciences firms in Ann Arbor. University-affiliated research institutions and contract research organizations operating statewide also regularly sponsor TN workers in scientific occupations. Sponsorship activity varies by employer and hiring cycle.
Which cities in Michigan have the most science and research TN sponsorship jobs?
Ann Arbor concentrates the highest volume of research-focused TN roles, driven by the University of Michigan's research enterprise and a dense cluster of life sciences and biotech employers. Kalamazoo hosts pharmaceutical R&D operations, particularly in drug development and regulatory science. The Detroit metro area, including Dearborn and Troy, generates TN-eligible openings in materials science, engineering research, and automotive testing.
What types of science and research roles typically qualify for TN sponsorship?
TN visa eligibility in science and research covers specific USMCA-listed occupations, including chemists, biologists, physicists, geologists, and scientific technicians working under the supervision of a professional. Roles in pharmacology, toxicology, environmental science, and laboratory research often qualify when the position requires a relevant bachelor's degree or higher. Job titles alone don't determine eligibility; the actual duties and required credentials matter. Confirm the specific occupation against the USMCA TN category list before applying.
How do I find science and research TN sponsorship jobs in Michigan?
Migrate Mate lets you filter science and research jobs in Michigan by TN visa sponsorship, showing employers with verified sponsorship history in those occupations. This is more targeted than general job searches because it surfaces roles where the employer is already familiar with TN requirements. Kalamazoo, Ann Arbor, and metro Detroit are the most active markets for these roles, so filtering by those locations alongside the science and research category returns the most relevant results.
Are there state-specific considerations for TN sponsorship in Michigan's science and research sector?
Michigan does not impose state-level visa sponsorship requirements beyond federal USMCA rules, but several practical factors shape the market. Many research positions are tied to grant funding cycles, which can affect hiring timelines. State licensing requirements apply to certain scientific roles, particularly in environmental consulting and clinical laboratory science, and must be satisfied independently of TN status. Employers at federally funded research facilities may also require security clearance eligibility, which can limit TN worker placement in specific projects.