Senior Autonomy Engineer

May Mobility • Ann Arbor, MI

8h • $1 - $2 • Onsite

About The Position

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. May Mobility is entering an exciting phase of growth as we expand our first-of-its-kind autonomous shuttle and mobility services across the nation. Launched in 2017 with a strong team of experienced roboticists and software engineers with decades of experience fielding robotic systems in the wild, May Mobility is looking to expand its team of robotics engineers with a background in robotics or autonomous vehicles. As an Autonomy Software Engineer, you will help build and maintain the systems, pipelines, and tooling that let our perception engineers build, test, deploy, and improve how our vehicles see and interpret the world. This is a hands-on, software-engineering-focused role with three areas of contribution: building and maintaining the CI/CD pipelines, developer tooling, and infrastructure the perception stack depends on; supporting and improving the inference pipeline so models run reliably within real-time latency budgets on the vehicle; and developing and improving heuristic (classical, geometric, and rule-based) perception methods that complement learned models. You will work closely with senior engineers, write high-quality production code, and grow into owning larger pieces of the stack over time.

Requirements

• Solid software engineering fundamentals: data structures, algorithms, version control, debugging, and writing clean, testable code.
• Familiarity with CI/CD concepts, build systems, and automated testing, and eagerness to deepen these skills.
• Interest in and exposure to real-time systems, inference pipelines, or runtime performance considerations.
• Basic understanding of the ML development cycle and how models are deployed (depth in ML is not required).
• Working understanding of data: how data pipelines feed training and evaluation.
• Good attention to detail and a habit of testing your own work.
• Strong written and verbal communication skills and willingness to collaborate and learn.
• 1–3 years of professional software engineering experience (internships, co-ops, and significant project work count).
• Bachelor's degree in Computer Science, Computer Engineering, Robotics, or a related field that requires a strong engineering and/or mathematical foundation — or equivalent practical experience.
• Programming skills in C++ and/or Python; comfort working in a Linux environment.
• Experience with version control (e.g., Git) and an understanding of testing and CI/CD basics.
• Demonstrated ability to write and debug software through coursework, internships, personal projects, or prior roles.

Nice To Haves

• Familiarity with heuristic / classical perception or estimation concepts (e.g., geometry, filtering, tracking) is a plus.
• Exposure to CI/CD and build tooling (e.g., GitHub Actions/GitLab CI/Jenkins, CMake, Bazel) and containerization (Docker).
• Exposure to real-time, robotics, or autonomy software, or to inference/runtime performance work.
• Familiarity with heuristic / classical perception, computer vision, multi-target tracking, or sensor fusion concepts.
• Familiarity with ML/DL frameworks (e.g., PyTorch/TensorFlow) at a basic level.
• Exposure to simulation, log-replay, or data-pipeline tooling.
• Interest in safety-critical systems and graceful-degradation strategies.
• Personal projects, open-source contributions, or coursework that demonstrate strong software engineering fundamentals.

Responsibilities

• Work independently with cross-functional teams to develop software, CI/CD pipelines, and system requirements.
• Build and maintain CI/CD pipelines for the perception stack — automated builds, unit/integration/regression testing, performance checks, and deployment workflows.
• Develop and maintain developer tooling and infrastructure, including build scripts, test harnesses, log/replay and simulation tooling, data tooling, and debugging/visualization utilities.
• Contribute to the inference pipeline: model integration, runtime tuning, latency/throughput measurement, and deployment of models to on-vehicle compute, with guidance from senior engineers.
• Develop, tune, and improve heuristic perception methods (geometric reasoning, signal processing, filtering, and rule-based logic) for detection, tracking, and scene understanding, and as deterministic fallbacks.
• Help build and maintain tooling to track and trend perception performance in the field, including metrics collection and regression monitoring.
• Write clear, maintainable, industrial-grade production code and participate in code reviews.
• Diagnose and resolve issues, and write tests to validate features and support release schedules.
• Support data and ML pipelines that feed model training, evaluation, and deployment.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior