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Remote Autonomous Systems Engineer Jobs in Michigan

Motorola

Systems Engineer - US Remote

Three Rivers, MI · Remote

$90K - $100K/yr

... REMOTE Basic Requirements Required Skills: * High School diploma, Bachelor's degree in Engineering, or Technology. * Must have 3+ years of experience in one of the areas: Systems Integration ...

NetSource One

Systems Engineer

Troy, MI · On-site +1

$50K/yr

The Systems Engineer I is responsible for handling service requests and incidents escalated from ... Remote & onsite workstation troubleshooting. * Communicating with clients and co-workers and ...

Torc Robotics

Senior SOTIF Engineer

Ann Arbor, MI · On-site +1

$102K - $140K/yr

Join our SW Systems and Safety - Behaviors & Autonomy Team, where we work at the forefront of autonomous trucking and L4 systems. Our team collaborates across safety, systems engineering, product, V ...

Haworth, Inc.

Senior Computer Systems Engineer

Holland, MI · On-site +1

$99K - $136K/yr

We are currently looking for a Senior Computer Systems Engineer to join our team in Holland, MI ... Applicants must be able to work in Holland, MI; this position does not offer remote or hybrid work ...

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Remote Autonomous Systems Engineer information

What are Remote Autonomous Systems Engineers?

Remote Autonomous Systems Engineers are professionals who design, develop, and maintain autonomous systems—such as drones, robots, or vehicles—while working remotely. They use advanced software, sensors, and algorithms to ensure these systems can operate independently and safely. Their work involves tasks like programming control systems, integrating hardware components, and troubleshooting issues from a remote location. These engineers often collaborate with teams virtually and leverage cloud-based tools to monitor and update autonomous systems deployed in various environments.

What are some common challenges faced by Remote Autonomous Systems Engineers, and how can they be addressed?

Remote Autonomous Systems Engineers often encounter challenges related to communication and collaboration, as they work with multidisciplinary teams across different locations and time zones. Managing system integration and troubleshooting without on-site access can also pose difficulties, requiring strong documentation and remote diagnostic tools. Staying updated on rapidly evolving technologies in autonomy further demands ongoing learning. To address these challenges, engineers should leverage clear communication channels, utilize collaborative platforms, and participate in continuous training opportunities.

What are the key skills and qualifications needed to thrive as a Remote Autonomous Systems Engineer, and why are they important?

To thrive as a Remote Autonomous Systems Engineer, you need a strong background in robotics, control systems, programming (such as Python or C++), and a relevant engineering degree. Experience with simulation tools like ROS (Robot Operating System), MATLAB, and familiarity with machine learning or AI frameworks are typically required, along with certifications in automation or robotics being advantageous. Strong problem-solving skills, self-motivation, and effective remote communication set top candidates apart in this role. These skills and qualities are essential for designing, troubleshooting, and improving autonomous systems while collaborating efficiently within distributed teams.
What are popular job titles related to Remote Autonomous Systems Engineer jobs in Michigan? For Remote Autonomous Systems Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Autonomous Systems Engineer jobs in Michigan look for? The top searched job categories for Remote Autonomous Systems Engineer jobs in Michigan are:
What cities in Michigan are hiring for Remote Autonomous Systems Engineer jobs? Cities in Michigan with the most Remote Autonomous Systems Engineer job openings:
Remote Autonomous Systems Engineer jobs near you
Infographic showing various Remote Autonomous Systems Engineer job openings in Michigan as of June 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 100% Remote job distribution.
Senior Autonomy Systems Engineer (Data / Cloud / Mapping)

Senior Autonomy Systems Engineer (Data / Cloud / Mapping)

Torc Robotics

Ann Arbor, MI • On-site, Remote

$102K - $139K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Job description

About the Company
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet the Team
Join our SW Systems and Safety - Behaviors & Autonomy Team, where we operate at the intersection of safety, autonomy, data, and large-scale system design. Our team works across mapping, AI/ML, validation, and software engineering to define and evaluate the Operational Design Domain (ODD) and ensure our autonomous systems perform safely and reliably in the real world.
We are seeking a Senior Autonomy Systems Engineer with strong experience in data-driven system design, autonomy workflows, and large-scale data analysis. This role focuses on defining how we leverage data across mapping, simulation, and real-world logs to characterize operating environments, derive requirements, and guide system-level decisions.
This is a highly cross-functional role that blends systems thinking with hands-on technical depth in Python, cloud data access, and autonomy data pipelines.
What You'll Be Doing
  • Lead ODD characterization efforts by analyzing large-scale datasets across real-world, simulated, and mapped environments
  • Define system-level strategies for leveraging map data (HD/SD), telemetry, and autonomy logs to assess operating conditions
  • Design and implement Python-based workflows to extract, transform, and analyze data from cloud-based systems
  • Work across internal and supplier-provided datasets (mapping, perception, vehicle data) to derive actionable insights
  • Define KPIs and metrics that evaluate safety, performance, and release readiness of autonomy systems
  • Translate data insights into system-level requirements, design decisions, and validation strategies
  • Collaborate with mapping, perception, AI/ML, and validation teams to align on data usage and system behavior
  • Drive technical direction across teams by connecting data, system architecture, and real-world performance
  • Identify gaps in data, tooling, and system design and propose scalable solutions

What You'll Need to Succeed
  • BS + 6+ years, MS + 3+ years, or PhD + 1+ years in Robotics, Computer Science, Systems Engineering, or related field
  • Strong experience working with autonomy, robotics, or large-scale distributed systems
  • Proficiency in Python for data analysis, scripting, and system workflows
  • Experience accessing and processing large datasets from cloud environments (AWS, GCP, Azure)
  • Experience working with mapping systems (HD maps, SD maps, or similar structured spatial data)
  • Strong system-level thinking and ability to translate data into design decisions
  • Experience working cross-functionally with software, data, and systems teams
  • Ability to operate in ambiguous environments and drive clarity through technical direction

Bonus Points
  • Experience in autonomous vehicles or ADAS systems
  • Familiarity with ODD frameworks, scenario generation, or 6-layer environment modeling
  • Experience with safety frameworks (SOTIF, ISO 26262, AI safety)
  • Experience working with large-scale data pipelines or distributed systems
  • Exposure to simulation environments or autonomy validation workflows

Perks of Being a Full-time Torc'r
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
  • A competitive compensation package that includes a bonus component and stock options
  • 100% paid medical, dental, and vision premiums for full-time employees
  • 401K plan with a 6% employer match
  • Flexibility in schedule and generous paid vacation (available immediately after start date)
  • AD+D and Life Insurance

At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.
Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Job ID: 102642
Hiring Range for Job Opening
US Pay Range
$139,000-$166,800 USD

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