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Autonomous Systems Jobs in Michigan (NOW HIRING)

asrcfh

Robotics Engineer

Sterling Heights, MI · On-site

Develop and implement autonomous systems for ground, air, or maritime defense platforms (e.g., navigation, perception, decision-making algorithms). * Design, integrate, and test software for robotics ...

asrcfh

Robotics Engineer

Sterling Heights, MI · On-site

Develop and implement autonomous systems for ground, air, or maritime defense platforms (e.g., navigation, perception, decision-making algorithms). * Design, integrate, and test software for robotics ...

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Autonomous Systems information

See Michigan salary details

$40.1K

$89K

$133.4K

How much do autonomous systems jobs pay per year?

As of Jul 6, 2026, the average yearly pay for autonomous systems in Michigan is $88,961.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,100.00 and $108,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Autonomous Systems position, and why are they important?

To excel in an Autonomous Systems role, candidates typically need expertise in robotics, computer vision, control systems, and programming languages such as Python or C++, often supported by a degree in engineering, computer science, or a related field. Familiarity with tools like ROS (Robot Operating System), simulation platforms, and relevant certifications (e.g., in AI or machine learning) is highly valued. Strong problem-solving skills, adaptability, and effective teamwork enhance performance in this multidisciplinary environment. These abilities are essential for innovating, troubleshooting, and successfully deploying autonomous solutions in real-world settings.

Which 3 jobs will survive AI?

In the field of autonomous systems, jobs such as robotics engineers, systems integrators, and maintenance technicians are likely to persist because they require complex problem-solving, hands-on skills, and oversight that AI cannot fully replicate. These roles involve designing, deploying, and maintaining autonomous technologies, often requiring specialized knowledge of hardware, software, and safety protocols.

What engineers make $500,000?

Senior engineers in fields like autonomous systems, robotics, and software engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills in AI or machine learning, and leadership roles. High compensation is often associated with executive positions, specialized expertise, or working at large tech companies and startups with stock options or bonuses.

What engineers make $300,000 a year?

Senior autonomous systems engineers, especially those with extensive experience in robotics, AI, and machine learning, can earn $300,000 or more annually. These roles often require advanced skills, certifications, and leadership responsibilities in developing and deploying autonomous technologies in industries like automotive, aerospace, or defense.

What is an Autonomous Systems job?

An Autonomous Systems job involves designing, developing, and maintaining self-operating technologies, such as drones, self-driving cars, and robotic systems. Professionals in this field work on AI, machine learning, sensor fusion, and control systems to enable machines to make decisions and operate without human intervention. Roles may include software engineers, roboticists, and data scientists, often collaborating to improve system reliability and efficiency. These jobs are common in industries like defense, transportation, manufacturing, and healthcare.

What are some common challenges faced by professionals working in Autonomous Systems?

Professionals in Autonomous Systems often encounter challenges related to integrating complex hardware and software, ensuring system reliability in dynamic environments, and maintaining safety and compliance with industry standards. Debugging and testing autonomous solutions can be demanding due to unpredictable real-world variables and evolving technical requirements. Collaboration with cross-functional teams is crucial, as roles often involve coordinating with engineers, data scientists, and product managers. Successfully navigating these challenges helps drive innovation and ensures the successful deployment and operation of advanced autonomous technologies.

What career pathways exist in autonomous systems?

Career pathways in autonomous systems include roles such as autonomous systems engineer, robotics engineer, software developer, and systems analyst. These positions often require skills in programming, control systems, machine learning, and experience with tools like ROS or MATLAB. Opportunities exist in industries like automotive, aerospace, defense, and research institutions, with some roles requiring specialized certifications or advanced degrees.
What are the most commonly searched types of Autonomous Systems jobs in Michigan? The most popular types of Autonomous Systems jobs in Michigan are:
What are popular job titles related to Autonomous Systems jobs in Michigan? For Autonomous Systems jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Autonomous Systems jobs in Michigan look for? The top searched job categories for Autonomous Systems jobs in Michigan are:
Autonomous Systems jobs near you
Senior Autonomy Software Systems Engineer (Python / C++ / Data)

Senior Autonomy Software Systems Engineer (Python / C++ / Data)

Torc Robotics

Ann Arbor, MI • On-site

$119K - $158K/yr

Full-time

Posted 29 days ago

Job description

Job Summary:
Torc Robotics is a leader in autonomous driving technology, focused on developing software for automated trucks. They are seeking a Senior Autonomy Software Systems Engineer to build data pipelines, process large datasets, and develop tools that impact the evaluation and improvement of autonomous systems.
Responsibilities:
• Build and maintain Python-based data pipelines to ingest, process, and analyze large-scale autonomy datasets
• Develop tools to extract and manipulate data from cloud-based storage systems (AWS, GCP, etc.)
• Work with HD/SD map data, vehicle telemetry, and simulation outputs to support autonomy workflows
• Write performant and scalable code for data processing, transformation, and analysis
• Collaborate with systems, mapping, and AI/ML teams to support data-driven decision making
• Develop scripts and tools to support scenario generation, ODD analysis, and validation workflows
• Optimize data workflows for performance, scalability, and reliability
• Contribute to system-level debugging by analyzing data and identifying root causes of issues
• Support integration of data pipelines into broader autonomy and validation systems
Qualifications:
Required:
• BS + 6+ years, MS + 3+ years, or PhD + 1+ years in Computer Science, Software Engineering, Robotics, or related field
• Strong proficiency in Python for production-level development
• Experience working with large-scale datasets and data processing systems
• Experience with cloud environments and distributed data systems (AWS, GCP, Azure)
• Familiarity with SD/HD maps, geospatial data, or spatial data processing
• Experience writing clean, maintainable, and scalable code
• Strong debugging and problem-solving skills in complex systems
• Experience working in cross-functional engineering environments
Preferred:
• Experience with C++ in production systems
• Experience working with autonomy, robotics, or mapping systems
• Experience with data pipelines, ETL systems, or ML data workflows
• Exposure to ROS/ROS2 or similar robotics frameworks
• Experience with containerization (Docker) and distributed compute systems
Company:
Torc provides L4 end-to-end self-driving software for mobility, trucking, mining, and defense markets through strategic partnerships Founded in 2005, the company is headquartered in Blacksburg, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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