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Remote Validation Engineer Jobs in Michigan (NOW HIRING)

Motorola

Join our team as a Cybersecurity Engineer, where you will execute and/or lead advanced security ... Identify, recommend, and validate vulnerability remediation actions, fix procedures, and mitigation ...

Lenze

Application Engineer

Detroit, MI · On-site +1

$85K - $130K/yr

Remote in Michigan, preferably near Detroit On-Target Compensation: $85,000 - $130,000 ... Support testing, start-up, and field validation of automation solutions * Capture and standardize ...

Kiongroup

Simulation Engineer

Grand Rapids, MI · On-site +1

$65K - $140K/yr

... and remote flexibility. You'll help design the future of warehouse automation by developing ... Collect, validate, and analyze data while detailing model assumptions and functional specifications.

Huntington

RACF Mainframe Security Engineer

Detroit, MI · On-site +1

$70K - $140K/yr

Description This position is a remote position. Summary: The RACF Mainframe Security Engineer is ... Recruiting agencies must have a valid, written and fully executed Master Service Agreement and ...

Huntington

RACF Mainframe Security Engineer

Detroit, MI · On-site +1

$70K - $140K/yr

Description This position is a remote position. Summary: The RACF Mainframe Security Engineer is ... Recruiting agencies must have a valid, written and fully executed Master Service Agreement and ...

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Remote Validation Engineer information

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How much do remote validation engineer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for remote validation engineer in Michigan is $45.32, according to ZipRecruiter salary data. Most workers in this role earn between $34.38 and $55.10 per hour, depending on experience, location, and employer.

What is a remote validation engineer?

A Remote Validation Engineer is responsible for testing and verifying that products, systems, or software meet required specifications and function correctly. They develop test plans, run simulations, analyze data, and document results—all while working remotely. This role is common in industries like automotive, semiconductor, and software development, ensuring quality and compliance with standards. Strong technical skills, attention to detail, and proficiency with validation tools are essential.

What are the typical day-to-day responsibilities of a remote validation engineer?

Remote Validation Engineers are responsible for developing and executing test plans, analyzing results, and documenting findings to ensure products meet required standards and specifications. They often collaborate virtually with design, development, and quality teams to identify issues and recommend improvements. Daily tasks may include running automated tests, preparing validation reports, participating in team meetings, and troubleshooting system behaviors. Adapting to shifting project requirements and effectively communicating in a remote setting are also integral parts of the role.

What are the key skills and qualifications needed to thrive as a remote validation engineer, and why are they important?

To thrive as a Remote Validation Engineer, you need a strong background in engineering or computer science, expertise in validation protocols, and experience with testing methodologies. Familiarity with validation tools such as simulation software, automated test platforms, and knowledge of industry compliance standards (e.g., ISO, FDA, or automotive standards) is typically required, and certifications like ISTQB can be beneficial. Excellent problem-solving skills, attention to detail, and strong written and verbal communication are important for collaborating across distributed teams. These skills ensure the effectiveness and reliability of complex products or systems while supporting seamless teamwork in a remote work environment.

Are remote validation engineers in demand?

Remote validation engineers are in demand due to the increasing need for quality assurance and compliance in various industries, especially in technology and manufacturing. They often require skills in testing tools, automation, and industry standards, making remote work a viable option for qualified professionals.

Do remote validation engineers make good money?

Remote validation engineers typically earn competitive salaries that vary based on experience, location, and industry. They often require skills in testing, automation tools, and quality assurance, which can influence earning potential. Overall, the role can offer a solid income, especially with specialized skills and certifications.

What are the most commonly searched types of Validation Engineer jobs in Michigan?

The most popular types of Validation Engineer jobs in Michigan are:

What are popular job titles related to Remote Validation Engineer jobs in Michigan?

For Remote Validation Engineer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Remote Validation Engineer jobs in Michigan look for?

The top searched job categories for Remote Validation Engineer jobs in Michigan are:

What cities in Michigan are hiring for Remote Validation Engineer jobs?

Cities in Michigan with the most Remote Validation Engineer job openings:

Remote Validation Engineer jobs near you
Infographic showing various Remote Validation Engineer job openings in Michigan as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, 5% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $94,265 per year, or $45.3 per hour.

Senior, Software Engineer - Platform Engineering

Torc Robotics

Ann Arbor, MI • Remote

$119K - $158K/yr

Full-time

Posted 15 days ago

Job description

About the Role: 

We are seeking a Senior Software Engineer to join our Platform Engineering team. You will build and evolve the internal platforms and services that empower engineers across the company to automate and accelerate software development, testing, and validation for autonomous vehicles worldwide. 

Responsibilities: 

  • Design and construct platform infrastructure spanning build, test, deployment, and release workflows across software and hardware environments. 
  • Periodic oncall shifts during business hours focused on incident response and operational support for teamowned services. 
  • Provide support and troubleshooting to internal customers. 
  • Maintain and evolve an internal, multimodal test execution platform across target hardware and simulation, with integration into requirements tracking systems.
  • Develop and operate shared platform services, including workflow orchestration, observability, remote development environments, and authentication infrastructure. 
  • Drive engineering quality through reference implementations, best practices, and continuous improvement of platform reliability and scalability.
  • Mentor engineers and elevate technical standards across design, implementation, and operations.

Competencies: 

  • Strong software architecture and system design skills, with the ability to translate ambiguous requirements into scalable technical solutions. 
  • Strong proficiency with Python or another modern object-oriented programming language. 
  • Experience with infrastructure-as-code tools such as Terraform, CloudFormation, Pulumi, etc. 
  • Experience building intuitive, extensible, well-documented APIs. 
  • Strong understanding of CI/CD concepts, tooling, and engineering workflows. 
  • Experience managing technical infrastructure across cloud-based and bare-metal environments. 
  • Experience with observability, telemetry, and monitoring platforms such as Datadog. 
  • Experience with containerization and orchestration technologies such as Docker and Kubernetes. 
  • Strong troubleshooting skills, including real-time debugging and deep log-based analysis. 
  • Experience with performance analysis, operational metrics, and system reliability practices.

Qualifications: 

  • Bachelor's or Master's Degree in Computer Engineering, Computer Science, or a related technical field. 
  • 6 or more years of relevant industry experience. 

Nice to Have: 

  • Experience with hardware-in-the-loop test automation for embedded, robotics, or vehicle platforms. 
  • Experience with workflow orchestration engines such as Temporal, AWS Step Functions, Airflow, or similar technologies. 
  • Experience building or supporting developer productivity platforms such as remote development environments or virtual desktop infrastructure. 

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