Senior Autonomy Engineer, Integration

present of AI; Ann Arbor (MI); Hybrid; USD 120,000 - 155,000; Full time

Job summary

May Mobility in Ann Arbor, MI is seeking a Senior Engineer to own the glue between teams—keeping a shared integration branch clean, running simulation and on-vehicle tests, and turning failures into reports and fixes. A strong candidate has 3–5 years in real robotic or autonomous systems, solid C and Python, and comfort with CI pipelines and git workflows in a large codebase.

The role emphasizes prioritizing what to test first and coordinating across perception, planning, and controls teams to

Qualifications

• Three to five years of experience in real robotic or autonomous systems.
• Strong C and Python programming skills.
• Comfort with CI pipelines and git workflows in a large codebase.

Responsibilities

• Own the glue between teams: keep a shared integration branch clean.
• Run simulation and on-vehicle tests, turning failures into clear reports and fixes.
• Coordinate across perception, planning, and controls groups to set testing priorities.

Skills

C programming

Python

CI pipelines

Git workflows

Tools

Git

CI/CD tooling

Job description

Engineering · Ann Arbor, MI - Hybrid · Senior level

This role owns the glue between teams: keeping a shared integration branch clean, running simulation and on vehicle tests, and turning failures into clear reports and fixes. A strong candidate has three to five years on real robotic or autonomous systems, solid C and Python, and comfort with CI pipelines and git workflows in a large codebase. The work calls for judgment about what to test first and steady coordination across perception, planning, and controls groups.

How it fits the AI era

The company's driving stack is built on reinforcement learning, so integration work means validating learned behavior across many scenarios, not just checking fixed rules. Simulation campaigns and automated pipelines do more of the repetitive checking, which frees the engineer to judge edge cases, diagnose regressions, and decide what deserves a real world test. Human judgment stays central in setting priorities and explaining system health to others.

How it builds AI experience

The role builds hands on skill with simulation based validation and automated testing of learned driving policies, which is close to how modern autonomy teams work. A candidate can prepare by practicing scenario design, regression tracking, and metrics reporting on any robotics project, and by learning how reinforcement learning policies are evaluated before road testing. Experience with an AV simulation platform helps.

Worth showing

• AV or robotics integration testing
• C and Python programming
• CI/CD and automated test pipelines
• Git branch management at scale

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About May Mobility

A self-driving vehicle company whose AI, trained through reinforcement learning rather than only pre-collected data, already carries riders in Atlanta, Minnesota and Japan.