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Telematics Test Engineer Jobs in Michigan (NOW HIRING)

Company Description Control-Tec, an Aptiv Automotive company, is a global provider of telematics ... Conduct engineering tests that will analyze the feasibility, design, operation, and performance of ...

Company Description Control-Tec, an Aptiv Automotive company, is a global provider of telematics ... Conduct engineering tests that will analyze the feasibility, design, operation, and performance of ...

Cloud Automation Engineer

Allen Park, MI · On-site

$50.75 - $68/hr

Company Description Control-Tec, an Aptiv company, is a global provider of telematics and analytics ... Helping to design, test, and implement various infrastructure automation using tools like Terraform ...

Cloud Automation Engineer

Allen Park, MI

$50.75 - $68/hr

Company Description Control-Tec, an Aptiv company, is a global provider of telematics and analytics ... Helping to design, test, and implement various infrastructure automation using tools like Terraform ...

The Software Engineer will work on a full stack software engineering team with a focus in front end ... Design/Develop/Test/Deploy: Collaborate with the broader FPI Telematics team on solution designs ...

The Ford Pro Intelligence (FPI) Telematics team is looking for a strong Staff Software Engineer to ... Effectively scope and provide timelines and capacity needs for large projects. • Develop/Test ...

Calibration Lead Engineer

Dearborn, MI · On-site

$94K - $124K/yr

... Telematics Control Module, SYNC Control Module, backend cloud, and other feature-specific modules ... smoke tests and SW releases, and driving calibration defects to closure. * Ensure feature and ...

Promote improvements in programming practices, such as test-driven development, continuous ... Familiarity with automotive data formats or telematics data structures.Google Cloud Professional ...

Auburn Hills, MI Duration : Long Term Telematics Quality Assurance Tester Purpose of Role ... developers throughout the software development life cycle to develop software test strategy and ...

Showing results 41-60

Telematics Test Engineer information

See Michigan salary details

$8

$40

$60

How much do telematics test engineer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for telematics test engineer in Michigan is $40.60, according to ZipRecruiter salary data. Most workers in this role earn between $30.38 and $51.54 per hour, depending on experience, location, and employer.

What is a telematics test engineer?

A Telematics Test Engineer is responsible for testing and validating telematics systems, which integrate telecommunications and informatics for vehicle applications. They ensure the functionality, performance, and reliability of devices such as GPS navigation, vehicle tracking, infotainment, and connectivity modules. Their role involves creating test plans, executing test cases, analyzing data, and troubleshooting issues in both hardware and software components. Telematics Test Engineers work closely with development teams to improve system performance and resolve defects. This position requires knowledge of automotive communication protocols, testing tools, and problem-solving skills to enhance vehicle connectivity and user experience.

What skills and qualifications are needed to be a telematics test engineer?

A Telematics Test Engineer needs a solid background in electrical engineering or computer science, strong analytical skills, and experience with embedded systems and automotive communication protocols. Knowledge of CAN, OBD-II, GPS technologies, test automation tools, and familiarity with industry certifications like ISTQB are highly valuable. Excellent problem-solving abilities, attention to detail, and effective teamwork and communication skills set top performers apart. These competencies are crucial for ensuring reliable, secure, and efficient telematics solutions in the rapidly evolving automotive sector.

What does a telematics test engineer do?

As a Telematics Test Engineer, your day often involves designing, executing, and documenting test plans for both hardware and software components of telematics systems. You’ll work closely with cross-functional teams, such as software developers, hardware engineers, and project managers, to identify, report, and troubleshoot issues throughout the development lifecycle. Your responsibilities may also include conducting field tests, analyzing data logs, and validating communication protocols to ensure the performance and compliance of telematics solutions. This dynamic environment allows you to continually learn and contribute to the advancement of cutting-edge vehicle technologies.

What are popular job titles related to Telematics Test Engineer jobs in Michigan? For Telematics Test Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Telematics Test Engineer jobs in Michigan look for? The top searched job categories for Telematics Test Engineer jobs in Michigan are:
Infographic showing various Telematics Test Engineer job openings in Michigan as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $84,444 per year, or $40.6 per hour.

Machine Learning Engineering Senior Engineer

Megan soft Inc

Dearborn, MI • On-site

$96K - $131K/yr

Contractor

Posted 5 days ago


Job description

Job Title: ML Ops Engineer
Location: Dearborn, MI (Hybrid – 4 Days/Week Onsite)
Duration: 12 Months
 
 
Note Only W2 Only USC,GC,H4EAD,GCEAD
 
Position Overview
We are seeking an experienced ML Ops Engineer to design, build, and optimize scalable machine learning data pipelines on Google Cloud Platform (GCP). The ideal candidate will have strong expertise in MLOps, Data Engineering, DevOps, Cloud Infrastructure, and Machine Learning to support Ford's connected vehicle and AI/Agentic initiatives.
The role involves developing robust batch and streaming data pipelines, implementing enterprise data governance, maintaining cloud infrastructure, optimizing ML solutions, and collaborating with cross-functional teams to deliver high-quality data products.
Key Responsibilities
  • Design, develop, and maintain scalable ML data pipelines on Google Cloud Platform.
  • Build batch and streaming data pipelines for connected vehicle data.
  • Optimize ML solutions for performance, scalability, security, reliability, and cost.
  • Develop and maintain cloud infrastructure using Terraform and CI/CD pipelines.
  • Build and monitor production data pipelines while providing production support.
  • Implement enterprise data governance, data lineage, and data quality standards.
  • Collaborate with data scientists, AI engineers, and business stakeholders.
  • Enhance DevOps capabilities using GitHub, Tekton, Docker, and GitHub Actions.
  • Deliver software using Agile methodologies, Test-Driven Development (TDD), CI/CD, and DevOps best practices.
  • Resolve code quality issues using SonarQube, Checkmarx, FOSSA, and Cycode.
  • Design Microservices and REST APIs for scalable data processing.
  • Support AI Agentic initiatives and connected vehicle analytics.
  • Troubleshoot production issues and ensure SLA compliance.
  • Continuously improve data engineering solutions and cloud infrastructure.
Required Skills
  • Google Cloud Platform (GCP)
  • Machine Learning / MLOps
  • TensorFlow
  • Python
  • Java
  • Spark
  • SQL
  • Artificial Intelligence / AI
  • Data Governance
  • Data Architecture
  • Cloud Architecture
  • Apache Kafka
  • REST APIs
  • Microservices
  • Git / GitHub / GitHub Actions
  • Terraform
  • Tekton
  • Docker
  • Jira
  • Agile Software Development
  • Strong Technical Communication & Collaboration Skills
Preferred Skills
  • Telematics
  • Data Modeling
  • Cloud Infrastructure
  • Data Mining
  • Database Design
  • Troubleshooting & Problem Solving
  • Leadership / Mentoring Experience
Required Experience
  • Master's degree with 4+ years of experience, or Bachelor's degree with 6+ years of relevant experience.
  • 4+ years of Data Engineering and software product development experience.
  • Strong experience with at least three of the following:
    • Python
    • Java
    • Spark
    • Scala
    • SQL
  • 3+ years building cloud-based production data pipelines using:
    • Google BigQuery, Redshift, or Azure Synapse
    • Airflow
    • MySQL, PostgreSQL, or SQL Server
    • Apache Kafka or GCP Pub/Sub
    • Microservices
    • REST APIs
    • Terraform
    • Docker
    • GitHub Actions
    • Tekton
    • Atlassian Jira
Preferred Experience
  • Ph.D. in Computer Science, Software Engineering, Information Systems, or related field.
  • 2+ years of ML Model Development and/or MLOps experience.
  • Experience with cloud architecture and application migrations.
  • GCP Professional Certifications.
  • Experience contributing to open-source projects.
  • Strong analytics and data profiling skills.
  • Experience implementing end-to-end automation across ML pipelines.
  • Excellent communication and stakeholder management skills.
  • Experience mentoring junior engineers.
Education
Required: Bachelor's Degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or related field.
Preferred: Master's Degree or Ph.D.