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Remote Autonomous Driving Engineer Jobs in Michigan

May Mobility

Systems Engineer II

Ann Arbor, MI · On-site +1

... self-driving cars and their impact on the world * Strong working knowledge of ADAS/Autonomous ... A Masters degree in Engineering or equivalent experience * Knowledge of automotive and autonomous ...

Demand.com

Marketing Director (Remote)

Detroit, MI · Remote

Proven success in driving measurable pipeline and ROI * Experience building marketing functions ... Full ownership and autonomy to shape marketing * Data-driven, innovative environment * Flexible ...

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All JobsAutonomous Driving Engineer JobsRemote Autonomous Driving Engineer JobsRemote Autonomous Driving Engineer Jobs in Michigan

Remote Autonomous Driving Engineer information

What is a remote autonomous driving engineer?

A Remote Autonomous Driving Engineer is a professional who designs, develops, tests, and implements software and systems that enable vehicles to operate without direct human control. These engineers often work remotely, using cloud-based tools and simulations to collaborate with teams and test autonomous driving algorithms. Their responsibilities may include sensor integration, perception modeling, path planning, and ensuring safety and compliance with industry standards. They play a key role in advancing self-driving technology by working on cutting-edge machine learning, computer vision, and robotics challenges.

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

To thrive as a Remote Autonomous Driving Engineer, you need a strong background in robotics, computer vision, machine learning, and programming languages like Python or C++, often backed by a degree in engineering or computer science. Experience with simulation tools (e.g., ROS, CARLA), real-time data processing, and knowledge of automotive safety standards or certifications such as ISO 26262 are typically required. Excellent problem-solving skills, remote communication abilities, and adaptability are crucial soft skills for collaborating with distributed teams and addressing complex challenges. These competencies ensure the safe and efficient development of reliable autonomous driving systems in a remote work environment.

What are the unique challenges of collaborating with global teams as a remote autonomous driving engineer?

As a Remote Autonomous Driving Engineer, you'll frequently collaborate with cross-functional teams spanning different time zones and regions. This can present challenges such as coordinating meetings, managing asynchronous communication, and ensuring clear documentation of technical requirements. To succeed, it's essential to develop strong written communication skills and utilize collaborative tools for version control, code review, and project management. Building relationships with colleagues remotely also requires proactive engagement and regular check-ins to maintain alignment on project goals.

What is the difference between Remote Autonomous Driving Engineer vs Remote Autonomous Vehicle Software Developer?

AspectRemote Autonomous Driving EngineerRemote Autonomous Vehicle Software Developer
Required CredentialsEngineering degree, specialized in autonomous systems, certifications in robotics or AISoftware development background, experience with autonomous vehicle software, relevant certifications
Work EnvironmentCollaborates with hardware teams, field testing, simulation environmentsFocuses on coding, software testing, simulation, and integration
Industry UsageDesigns and tests autonomous driving systems, sensor integrationDevelops software components for autonomous vehicles, algorithms, and control systems

While both roles involve autonomous vehicle technology, the Remote Autonomous Driving Engineer focuses on system design, testing, and integration of autonomous driving systems, often working closely with hardware. The Remote Autonomous Vehicle Software Developer primarily concentrates on coding, software development, and simulation tasks within autonomous vehicle software platforms.

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

The most popular types of Autonomous Driving Engineer jobs in Michigan are:

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

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

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

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

Remote Autonomous Driving Engineer jobs near you
Infographic showing various Remote Autonomous Driving Engineer job openings in Michigan as of August 2026, with employment types broken down into 67% Full Time, 29% Part Time, 3% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Systems Engineer II

May Mobility

Ann Arbor, MI • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday

Job description

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think.
Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We're building the world's best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we've given more than 500,000 autonomous rides to real people around the globe. And we're just getting started. We're hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us.
Job Summary
The Systems Engineer II leverages a comprehensive understanding of the company's products and technologies to facilitate cross-functional engineering initiatives. This role will support system design activities, ensure alignment with requirements and collaborate with test and validation teams to establish verification criteria.
Essential Responsibilities
  • Leverage a system level understanding of our products and technologies to support cross-functional engineering efforts
  • Create and maintain requirement specifications by:
    • Analyzing stakeholder, product, and safety requirements to define technical system and subsystem requirements
    • Supporting system design activities, assessing impact and conformance to requirements
    • Collaborating with test and validation team to define verification criteria for system requirements
    • Reviewing legacy requirements to ensure completeness and correctness
  • Evaluate industry and regulatory requirements for applicability to May Mobility products
  • Performing FMEA analysis, tracking findings to resolution
  • Identify gaps in processes and propose solutions for resolution
  • Follow safe work procedures; Use of appropriate personal protective equipment (PPE); Use of workplace tools and equipment as instructed; Report workplace hazards, injuries and illness as soon as possible.
Skills and Abilities
Success in this role typically requires the following competencies:
  • Excellent written, verbal, and presentation skills
  • Strong attention to detail and highly-organized
  • Ability to multitask and adapt to shifting priorities in a fast-paced work environment
  • Understanding of agile startup and engineering principles and mindset
  • Ability to display systems thinking and attention to detail
  • Detailed knowledge of requirements management and requirement-based design
  • Curiosity to learn and desire to improve
  • Passionate about self-driving cars and their impact on the world
  • Strong working knowledge of ADAS/Autonomous Vehicle systems
  • Effective communication with cross functional stakeholders
  • Ability to independently determine approach to high-level direction and tasks, escalating when necessary

Qualifications and Experience
Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:
Required
  • Bachelor's Degree from an accredited university
  • 3+ years experience in automotive engineering working on software, hardware, or combined hardware/software products

Desirable
  • A Masters degree in Engineering or equivalent experience
  • Knowledge of automotive and autonomous vehicle technologies, such as LIDAR, radar, ethernet, and CAN
  • Experience in Autonomous Vehicles, Machine Learning, Robotics, Internet of Things (IoT), or Mobile Applications
  • Experience working in a startup
Physical Requirements
  • Standard office working conditions which includes but is not limited to:
    • Prolonged sitting
    • Prolonged standing
    • Prolonged computer use
Travel required? - Minimal: 1%-10%
Benefits and Perks
  • Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate.
  • Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.
  • Rich retirement benefits, including an immediately vested employer safe harbor match.
  • Generous paid parental leave as well as a phased return to work.
  • Flexible vacation policy in addition to paid company holidays.
  • Total Wellness Program providing numerous resources for overall wellbeing

Don't meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May.
Want to learn more about our culture & benefits? Check out our website!
May Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know.
Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.
Salary Range
$95,000-$120,000 USD
May Mobility uses automated tools to support - but not replace - human judgment in our recruiting process, to find out more please click here

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