Senior Autonomy Engineer, Integration

About the role

May Mobility is in a dynamic growth phase as we broaden our innovative autonomous shuttle and mobility services across the United States. Since our inception in 2017, we have assembled a talented team of roboticists and software engineers with extensive experience in deploying robotic systems in real-world settings. We are seeking to enhance our team of robotics engineers who have a strong background in robotics or autonomous vehicles.

Key facts

What you'll do

• Oversee integration testing processes throughout the autonomy stack, coordinating software deliveries from various development teams and managing the complete integration cycle.
• Ensure a stable integration branch by managing merge requests, resolving conflicts, and maintaining branch standards across a large, multi-team codebase.
• Design and implement automated test pipelines and CI/CD infrastructure to facilitate continuous integration of autonomy software.
• Conduct simulation-based testing campaigns to validate system performance across diverse scenarios and operational conditions.
• Organize and execute on-vehicle tests to assess integrated autonomy software in real-world situations, providing actionable feedback for development.
• Develop and monitor performance metrics and KPIs for the autonomy system, generating clear reports on system status for the engineering team.
• Troubleshoot integration failures and performance issues, collaborating with development teams to conduct root-cause analysis and implement solutions.
• Contribute features and bug fixes to resolve integration challenges or issues identified during testing.
• Collaborate with perception, planning, and controls teams to ensure alignment on subsystem interfaces, anticipate integration risks, and coordinate delivery schedules.

Requirements

• Bachelor's degree in Robotics, Computer Science, Computer Engineering, or a related field with a strong mathematical or engineering foundation (e.g., physics, aerospace engineering, mechanical engineering), or equivalent practical experience.
• 3 to 5 years of relevant industry experience with real-world autonomous vehicle or robotic systems.
• Proven experience with system-level integration testing, including simulation and hardware-in-the-loop or on-vehicle validation.
• Strong programming skills in C/C++ and Python.
• Experience with CI/CD pipelines and automated testing frameworks.
• Familiarity with git-based development practices, including branch management, merge request reviews, and conflict resolution in extensive codebases.
• Proficiency in software development within a Linux environment.

Nice to have

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

Skills & tools

• Strong systems-level understanding of autonomous vehicle or robotic software architecture, including interactions between perception, planning, and controls subsystems.
• Methodical approach to software integration, capable of managing complexity across multiple concurrent development streams.
• Ability to design test scenarios using simulation tools that reveal significant edge cases and system-level behaviors.
• Competence in analyzing quantitative performance data, identifying trends or regressions, and effectively communicating findings to both technical and non-technical stakeholders.
• Capacity to make integration decisions and prioritize testing without needing complete information or fully defined processes.
• Excellent written and verbal communication skills, with experience in producing engineering reports or system status summaries for diverse audiences.
• Ability to collaborate effectively across teams, managing competing priorities and dependencies with multiple stakeholders.

Practical notes

• This is a hybrid position based in Ann Arbor, MI, allowing for remote work alongside office attendance based on an agreed schedule.
• Travel may be required up to 25% during peak demand periods.

Salary Range

$150,000 - $170,000 USD

May Mobility is dedicated to fostering a diverse and inclusive workforce. We encourage candidates from all backgrounds to apply, even if they do not meet every single requirement. If you require any accommodations during the application process, please let us know.

About the company

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.