Senior Systems Engineer II

About this role

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

We are seeking an experienced and data-driven Senior Systems Engineer II to lead the definition, optimization, and validation of next-generation Autonomous Vehicle capabilities.

In this role, you will bridge the gap between high-level autonomy goals and actionable system requirements. You will be responsible for defining autonomous vehicle system requirements, designing complex scenario-based test suites in simulated and on-road environments, and building automated, KPI-driven reporting pipelines. The ideal candidate thrives at the intersection of systems engineering, automated testing, data analytics, and functional safety standards.

Essential Responsibilities

• Define, document, and manage system and capability-level requirements with full end-to-end traceability leveraging requirement management, AV simulation, and data toolsets.

• Conduct in-depth Operational Design Domain (ODD) and route analyses to shape AV driving capabilities and sub-capabilities.

• Ensure designed scenarios align and comply with established industry standards and regulatory frameworks, such as Euro NCAP and NHTSA

• Drive and manage the driving simulation portfolio to ensure comprehensive validation coverage across the entire Operational Design Domain (ODD).

• Craft on-road and logical test scenarios designed specifically for evaluating autonomy features, system capabilities, and critical on-road events.

• Process and analyze real-world field events to close the loop by identifying simulation coverage gaps and creating representative simulation tests.

• Define clear, robust simulation specifications and requirements for cross-functional simulation teams to develop and build against.

• Analyze real-world and simulation results to identify performance trends, uncover potential issues, and provide insights for improvements

• Lead engineering process continuous improvement activities, proposing solutions and gaining buy-in from impacted teams

Skills and Abilities

Success in this role typically requires the following competencies:

• Strong analytical and problem solving skills

• Excellent written, verbal, and presentation skills

• Strong attention to detail and highly-organized

• Ability to multitask and adapt to shifting priorities in a fast-paced work environment

• Understanding of agile startup and engineering principles and mindset

• Ability to display systems thinking and attention to detail

• Detailed knowledge of requirements management and requirement-based design

• Curiosity to learn and desire to improve

Qualifications and Experience

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

Required

• Bachelor’s Degree from an accredited university

• 6+ years experience in automotive systems engineering working on software, hardware, or combined hardware/software products and 3+ years systems engineering experience working on autonomous driving or advance driver assistance systems

• Strong knowledge of automotive and autonomous vehicle technologies

• Experience developing behavioral simulations for AV or ADAS features

• Experience with Python, SQL, and data analysis tools (e.g., Pandas, NumPy, Spark).

Desirable

• A Masters degree in Engineering or equivalent experience

• Experience working in a startup

• Practical awareness of functional safety principles, including ISO 26262, SOTIF, and HARA.

Physical Requirements

• Standard office working conditions which includes but is not limited to:

• Prolonged sitting

• Prolonged standing

• Prolonged computer…