Senior Autonomy Engineer

Job Summary

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.

Essential 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.

Skills and Abilities

• 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.
• Familiarity with heuristic / classical perception or estimation concepts (e.g., geometry, filtering, tracking) is a plus.
• 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.

Qualifications and Experience

• 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.

Physical Requirements

• Prolonged sitting
• Prolonged standing
• Prolonged computer use
• Travel required? - Moderate: 11%-25%

Want to learn more about our culture & benefits?

Check out our website!

May Mobility is an equal opportunity employer.

Note to Recruitment Agencies:

We do not accept unsolicited agency resumes. Furthermore, we do not pay placement fees for candidates submitted by any agency other than our approved partners.

Salary Range

$1 - $2 USD

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