---
title: 'Senior Autonomy Engineer, Integration at May Mobility'
canonical: 'https://feeny.ai/job/senior-autonomy-engineer-integration-may-mobility-ann-arbor-301b6hhjft24'
type: 'job'
last_seen: '2026-11-06'
---

# Senior Autonomy Engineer, Integration at May Mobility

- **Company:** May Mobility
- **Location:** Ann Arbor, MI
- **Compensation:** $150k–$170k
- **Work type:** hybrid
- **Posted:** 2026-10-30
- **Last confirmed live:** 2026-11-06
- **Apply:** https://job-boards.greenhouse.io/maymobility/jobs/8925082002

## 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

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

- Lead integration testing activities across the autonomy stack, coordinating software deliveries from development teams and owning the end-to-end integration process.
- Maintain a clean, stable integration branch — managing merge requests, resolving conflicts, and enforcing branch hygiene across a large, multi-team codebase.
- Design, implement, and maintain automated test pipelines and CI/CD infrastructure to support continuous integration of autonomy software.
- Execute and iterate on simulation-based testing campaigns to validate system behavior across a broad range of scenarios and operational conditions.
- Plan and conduct on-vehicle tests to validate integrated autonomy software in real-world environments, translating findings into actionable development feedback.
- Develop and track performance metrics and KPIs for the autonomy system, producing clear reports on system health for the broader engineering organization.
- Diagnose integration failures and performance regressions, coordinating with development teams to drive root-cause analysis and resolution.
- Contribute targeted features and bug fixes to unblock integration or address issues surfaced during testing.
- Partner with perception, planning, and controls teams to align on subsystem interfaces, anticipate integration risk, and coordinate delivery timing.

## Skills and Abilities

Success in this role typically requires the following competencies:

- Strong systems-level understanding of autonomous vehicle or robotic software architecture, including how perception, planning, and controls subsystems interact.
- Disciplined approach to software integration, with an ability to manage complexity across multiple concurrent development streams.
- Proficiency with simulation tools and the ability to design test scenarios that expose meaningful edge cases and system-level behaviors.
- Ability to analyze quantitative performance data, identify trends or regressions, and communicate findings clearly to both technical and non-technical audiences.
- Ability to make integration decisions and set testing priorities without waiting for complete information or fully defined processes.
- Strong written and verbal communication skills, with experience producing engineering reports or system status summaries for a broad audience.
- Ability to work effectively across team boundaries, managing competing priorities and dependencies with multiple stakeholders.

## Qualifications and Experience

Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:

Required

- Bachelor’s degree in Robotics, Computer Science, Computer Engineering, or a field with a strong mathematical or engineering foundation (e.g., physics, aerospace engineering, mechanical engineering), or equivalent practical experience.
- 3–5 years of industry experience working on real-world autonomous vehicle or robotic systems.
- Demonstrated experience with system-level integration testing, including both simulation and hardware-in-the-loop or on-vehicle validation.
- Strong programming skills in C/C++ and Python.
- Experience building or working within CI/CD pipelines and automated test frameworks.
- Familiarity with git-based development workflows, including branch management, merge request review, and conflict resolution in large codebases.
- Expertise with software development in a Linux environment.

Desirable

- Master’s degree in Robotics, Computer Science, Electrical and Computer Engineering, or a related field.
- Experience with one or more AV or robotics simulation platforms (e.g., Simian, CARLA, Gazebo, or similar).
- Familiarity with major autonomy subsystems — behavior planning, prediction, perception, or controls — sufficient to diagnose integration issues spanning subsystem boundaries.
- Experience developing performance dashboards, data visualizations, or automated reporting tools for engineering teams.
- Background in ADAS development or safety-critical software validation.

Physical Requirements

- Standard office working conditions which includes but is not limited to:
- Prolonged sitting
- Prolonged standing
- Prolonged computer use
- Lift up to 50 pounds
- Hybrid role based out of Ann Arbor, MI
- Hybrid employees work remotely from their home or alternative work space as well as from one of our offices or sites at an agreed upon cadence set by their leader and based on the nature of their role. _ number of days per week/month or as otherwise agreed to with manager (job function- job dependent) 2 to 3 days per week or 8 days per month in office.  Weekly 1-4 days per week
- Travel requirements - expected up to 25% during peak demand

## 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](https://maymobility.com/careers/)!

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 $150,000—$170,000 USD

May Mobility uses automated tools to support — but not replace — human judgment in our recruiting process, to find out more please click [here](https://drive.google.com/file/d/1eGgErDdZ99HVoyxBrVpVUjhdUcmKogki/view?usp=drive_link)

## About May Mobility

## Company Overview
- **One-liner**: May Mobility develops and deploys autonomous vehicle (AV) shuttle and robotaxi services powered by its proprietary Multi-Policy Decision Making (MPDM) AI system to provide safer, greener, and more accessible transit.
- **Entity Type**: Private (Series-stage not confirmed; total funding $392.6M across 12 rounds)
- **Headquarters**: Ann Arbor, Michigan, United States
- **Founded**: 2017
- **Founders**: Dr. Edwin Olson, Alisyn Malek, Steve Vozar

## Core Business
- **Primary industry**: Urban Transit Services / Autonomous Vehicle Technology
- **Target customers**: B2G (municipalities, transit agencies), B2B (ride-hail partners like Uber and Lyft, enterprise fleets), and B2C (direct rider services)
- **Mission**: “To reimagine transportation by developing and deploying autonomous vehicles that get people where they need to go safely, easily and with a lot more fun.”

## Products & Services
- **Autonomous Shuttle Services**: Deployed autonomous shuttles in multiple U.S. cities (e.g., Atlanta, Grand Rapids, Minnesota, Arlington) and Tokyo Bay, Japan. These shuttles operate on fixed or dynamic routes and have completed over 500,000 paid rides.
- **Multi-Policy Decision Making (MPDM) System**: A proprietary real-time, reinforcement-learning AI algorithm that learns and reacts to new driving scenarios every 200 milliseconds, enabling safe handling of unpredictable situations without relying on pre-collected training data.
- **Ride-Hail Integration**: Strategic partnerships with Uber and Lyft to deploy autonomous vehicle fleets through their respective platforms, making May Mobility vehicles available to a broader rider base.

## Market Standing
- **Valuation**: Not publicly disclosed
- **Key Metric** (Private company): Total funding of $392.6M (12 rounds); estimated annual revenue $59.2M (source: LinkedIn company profile)
- **Notable Investors/Partners**: Toyota Motor North America (strategic partnership and investment), Y Combinator (backed in early stage), and ride-hail partners Uber and Lyft.
- **Growth Signals**:
  - Headcount of 248 employees (+4.7% YoY) with a 38.2% quarterly increase in job postings and an 80.8% yearly increase.
  - Operations expanded to Japan (Tokyo Bay), Canada, India, UAE, and UK.
  - Recognized by Y Combinator as a Top Company (2020–2022), Forbes America’s Best Startup Employers (2023), and Frost & Sullivan 2022 North American Market Leadership Award.

## Competitive Advantages
- **MPDM Technology**: Unlike rule-based or purely trained-data approaches, MPDM runs endless real-time on-board simulations and learns while driving, making it more adaptable to edge cases and reducing deployment cost and time.
- **Safety-First Design**: Combined sensor suite and MPDM platform monitor road and simulate hazards faster and more reliably than competitors, with safety as the top priority.
- **Established Real-World Deployments**: Over 500,000 autonomous rides given; partnerships with major ride-hail players (Uber, Lyft) and Toyota signal strong commercial traction.
- **Cost Efficiency**: The company claims its system enables AV deployment at “a fraction of the cost and time” compared to traditional approaches.

## Strategic Focus
- **Scaling Deployments**: Expanding from current U.S. and Japanese bases into more international markets through partnerships with transit agencies and ride-hail platforms.
- **Deepening Technology**: Continuing to advance MPDM, machine learning inference optimization, and edge deployment for AVs, as evidenced by active job postings for ML engineers working on GPU acceleration, TensorRT, and NVIDIA DRIVE OS.
- **Partnership Ecosystem**: Leveraging relationships with Toyota, Uber, and Lyft to integrate May Mobility’s AVs into broader mobility networks.
- **Talent Acquisition**: Aggressively hiring across engineering, autonomy, and operations (47 active postings as of mid-2026) to support growth and R&D.

## Why Work Here
- **Culture & Values**: Emphasis on “Bring your whole self to work,” inclusivity (mayID Inclusion & Diversity group), and four core values: Drive With Purpose, Consider the Bigger Picture, Do What’s Right, Value Personal Relationships.
- **Flexibility**: Remote/hybrid option with core hours 10am–4pm EST; monthly stipend for Wi-Fi and cell; home office setup stipend for new hires.
- **Work-Life Balance**: Flexible unlimited vacation + 15 paid company holidays; generous paid parental leave with phased return-to-work and weekly meal reimbursement.
- **Compensation**: Competitive salaries (e.g., ML Engineer II posted at $180,000–$210,000 USD); equity (stock option program); 401(k) matching up to 4%.
- **Health & Wellness**: Company-paid medical, dental, vision (including HSA/FSA); life and disability plans; Total Wellness Program covering mental, physical, and financial well-being.
- **Community & Events**: Annual in-person gatherings at Ann Arbor HQ; regular virtual and IRL team events; employee resource groups.
- **Impact**: Directly improving community mobility and reducing congestion; work is deployed in real-world environments with measurable outcomes.

## Sources
1. [maymobility.com/about](https://maymobility.com/meet-may/)
2. [maymobility.com/careers](https://maymobility.com/careers/)
3. [linkedin.com/company/maymobility](https://www.linkedin.com/company/maymobility)
4. [job-boards.greenhouse.io/maymobility](https://job-boards.greenhouse.io/maymobility/jobs/8502419002)

## Other roles at May Mobility

- [Autonomy Engineering Manager - Behavior Prediction and Intent](https://feeny.ai/job/autonomy-engineering-manager-behavior-prediction-and-intent-may-mobility-ann-apv0gzk6qnec) — Ann Arbor, MI
- [Site Operations Manager](https://feeny.ai/job/site-operations-manager-may-mobility-eden-prairie-ys58jygk5qdv) — Eden Prairie, MN
- [Senior Manager, Supply Chain](https://feeny.ai/job/senior-manager-supply-chain-may-mobility-ann-arbor-6pbhjytjkzty) — Ann Arbor, MI
- [Senior Systems Engineer - Sensor Selection](https://feeny.ai/job/senior-systems-engineer-sensor-selection-may-mobility-ann-arbor-p4za8f9hzmme) — Ann Arbor, MI
- [Site Operations Manager II](https://feeny.ai/job/site-operations-manager-ii-may-mobility-atlanta-5yb2nha3b3mp) — Atlanta, GA
- [Internal Audit Manager](https://feeny.ai/job/internal-audit-manager-may-mobility-united-states-qkp6cqqqj55r) — United States
- [Manager, Simulation Infrastructure](https://feeny.ai/job/manager-simulation-infrastructure-may-mobility-united-states-p48anhkfqcjq) — United States
- [Senior Software Performance Engineer](https://feeny.ai/job/senior-software-performance-engineer-may-mobility-ann-arbor-49crpb7jxtnt) — Ann Arbor, MI
- [Site Autonomy Engineer II](https://feeny.ai/job/site-autonomy-engineer-ii-may-mobility-ann-arbor-a417nkhwmsg7) — Ann Arbor, MI
- [Senior Autonomy Technical Project Manager - Integrations](https://feeny.ai/job/senior-autonomy-technical-project-manager-integrations-may-mobility-ann-arbor-ccctewcfc9az) — Ann Arbor, MI