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Autonomous Systems Engineer Jobs in Michigan (NOW HIRING)

Strong working knowledge of ADAS/Autonomous Vehicle systems * Effective communication with cross ... A Masters degree in Engineering or equivalent experience * Knowledge of automotive and autonomous ...

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Autonomous Systems Engineer information

See Michigan salary details

$46.6K

$110.9K

$145.6K

How much do autonomous systems engineer jobs pay per year?

As of Jul 6, 2026, the average yearly pay for autonomous systems engineer in Michigan is $110,880.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,400.00 and $136,800.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior autonomous systems engineers, especially those with advanced expertise in robotics, machine learning, and control systems, can earn $300,000 or more annually. High compensation is often associated with experience, specialized skills, leadership roles, and working in industries like aerospace, defense, or autonomous vehicle development.

What does an Autonomous Systems Engineer do?

An Autonomous Systems Engineer designs, develops, and optimizes self-governing systems that operate with minimal human intervention. This includes robotics, self-driving vehicles, drones, and AI-driven automation. They work with sensors, machine learning, control systems, and software to ensure reliable decision-making and adaptability in dynamic environments. Their role often involves testing, simulation, and integration of hardware and software components to improve system efficiency and safety.

How much do autonomous systems engineers make?

Autonomous systems engineers typically earn a median annual salary between $90,000 and $130,000, depending on experience, education, and location. Senior engineers with specialized skills in robotics, machine learning, and sensor integration can earn higher salaries, often exceeding $150,000 annually.

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

To thrive as an Autonomous Systems Engineer, you need strong expertise in robotics, control systems, sensor integration, and proficiency in languages such as Python or C++, often supported by a relevant engineering degree. Familiarity with simulation tools like ROS (Robot Operating System), MATLAB/Simulink, and experience deploying algorithms on embedded hardware are typically required. Effective problem-solving, strong teamwork, and clear communication are standout soft skills in this field. These competencies are crucial for designing reliable autonomous solutions, troubleshooting complex issues, and collaborating across multidisciplinary teams for successful system deployment.

What are some common challenges faced by Autonomous Systems Engineers and how are they addressed?

Autonomous Systems Engineers often encounter challenges such as integrating diverse hardware and software components, achieving robust sensor fusion, and ensuring system reliability in unpredictable environments. Addressing these challenges typically involves rigorous simulation testing, iterative algorithm development, and close collaboration with cross-functional teams in software, hardware, and systems engineering. Engineers must also stay updated with advancements in machine learning and robotics to continually refine and enhance system capabilities. Employers support these efforts through ongoing training, collaborative problem-solving sessions, and investment in advanced prototyping resources.

What engineers make $500,000 a year?

Highly experienced autonomous systems engineers working in specialized fields such as aerospace, defense, or advanced robotics can earn salaries approaching or exceeding $500,000 annually, especially with seniority, advanced skills in AI and machine learning, and leadership roles. Compensation often includes bonuses, stock options, or other incentives in addition to base salary.

What do autonomous systems engineers do?

Autonomous systems engineers design, develop, and test systems that operate independently, such as self-driving vehicles or robotic automation. They work with sensors, algorithms, and control systems, often using programming languages like C++ or Python, and may require knowledge of machine learning, robotics, and embedded systems.
What are the most commonly searched types of Autonomous Systems Engineer jobs in Michigan? The most popular types of Autonomous Systems Engineer jobs in Michigan are:
What job categories do people searching Autonomous Systems Engineer jobs in Michigan look for? The top searched job categories for Autonomous Systems Engineer jobs in Michigan are:
What cities in Michigan are hiring for Autonomous Systems Engineer jobs? Cities in Michigan with the most Autonomous Systems Engineer job openings:
Infographic showing various Autonomous Systems Engineer job openings in Michigan as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $110,880 per year, or $53.3 per hour.
Staff Systems Engineer - ADAS Platform

Staff Systems Engineer - ADAS Platform

General Motors

Warren, MI • On-site

$157K - $258K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday


General Motors rating

8.0

Company rating: 8.0 out of 10

Based on 307 frontline employees who took The Breakroom Quiz

6th of 44 rated automakers


Job description

Job Description
Summary
At General Motors, we are building on our long-standing legacy of innovation and leadership in advanced driving technologies, exemplified by our industry-leading hands-off driving system, Super Cruise®. Our Autonomous Vehicles (AV) program is driven by a bold ambition to deliver expanded product portfolios that push the boundaries of safe, reliable autonomous and assisted driving experiences. Central to this mission is our Architecture and System Design team, a critical hub that operates at the intersection of requirement definition, architecture and system design, integration, and validation across the AV organization. This team ensures a cohesive and robust system architecture that enables seamless integration of our AV technologies and delivers the high standards of safety and performance our customers expect.
We are seeking an experienced Staff Systems Engineer to lead systems engineering efforts for our embedded AV/ADAS platform. You will be responsible for defining and managing system-level requirements and architectures, optimizing resource allocation across computational and networking subsystems, and working closely with software and hardware teams to ensure seamless integration of vehicle platform components. This role is highly collaborative, strategic, and technical, influencing platform roadmaps and long-term technical direction.
Key Responsibilities
  • Lead the end-to-end systems engineering for embedded autonomous vehicle (AV) and advanced driver-assistance systems (ADAS) platforms.
  • Define, document, and manage system-level requirements, ensuring traceability and alignment with product and safety goals.
  • Develop and maintain system architecture, balancing trade-offs in compute resources (CPU, GPU, NPU), memory (RAM), and communication bandwidth (Ethernet).
  • Perform system resource allocation, profiling, and optimization to meet performance, power, latency, and reliability targets.
  • Collaborate cross-functionally with software architecture, firmware, hardware, validation, and vehicle integration teams to ensure cohesive system design and implementation.
  • Drive technical roadmap planning and contribute to strategic decisions on future platform capabilities and scalability.
  • Identify risks and develop mitigation strategies related to system integration and performance.
  • Mentor junior engineers and foster a culture of technical excellence and innovation within the team.

Required Qualifications
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Systems Engineering, or a related technical discipline. Master's or PhD preferred.
  • Minimum 8+ years of systems engineering experience, ideally within embedded systems, automotive, robotics, or related industries.
  • Proven track record of leading system architecture design and resource allocation for complex embedded platforms.
  • Deep understanding of AV/ADAS domain including embedded computing platforms, sensor integration, and real-time constraints.
  • Strong expertise in system performance analysis and optimization, including CPU/GPU/NPU architectures, memory hierarchies, and network bandwidth management.
  • Experience with platform systems engineering: inter-board communication, logging frameworks, and device moding
  • Experience with edge compute SoC and MCU architectures.
  • Hands-on experience with system modeling, simulation tools, and requirements management frameworks.
  • Experience working with Ethernet-based automotive networks (e.g., Automotive Ethernet, TSN).
  • Familiarity with safety standards and practices (ISO 26262, ASPICE) is a plus.
  • Excellent communication skills and demonstrated ability to work effectively in cross-disciplinary teams.
  • Proven ability to navigate and solve problems characterized by high ambiguity

Preferred Qualifications
  • Advanced degree (MS or PhD) with a focus on embedded systems, systems engineering, or related fields.
  • Experience with embedded Linux or RTOS environments in automotive or robotics applications.
  • Knowledge of AV software stacks, middleware, and sensor data processing pipelines.
  • Familiarity with system-level debugging, profiling, and telemetry tools.
  • Prior experience at a leading AV company or tier 1 automotive supplier.
  • Strong leadership skills with experience mentoring engineers and leading technical projects.
  • Understanding of power management and thermal constraints in embedded platforms.
  • Experience contributing to strategic technical roadmaps and platform evolution.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington
  • Compensation: The expected base compensation for this role is: $157,100 - $258,500 Actual base compensation within the identified range will vary based on factors relevant to the position.
  • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
  • Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays.

#LI-EL1
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies."
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.The selected candidate will be required to travel <25% for this role.This job may be eligible for relocation benefits.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908