Senior Systems Engineer, Event Detection and Response

Senior Systems Engineer, Event Detection and Response

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

As a Systems Engineer, Event Detection & Response Engineer you will leverage a comprehensive understanding of our autonomous system to facilitate high-impact, cross‑functional engineering initiatives. In this role your mission is to own the detection of critical system events from vehicle logs and drive rapid issue resolution across the organization. You will design, implement, and maintain event detectors that surface safety‑relevant and performance‑degrading behaviors from field data, then work hand‑in‑hand with data engineering and simulation teams to operationalize these detectors – accelerating root cause analysis, regression coverage, and resolution cycle time.

• Support safety risk assessments for complex driving maneuvers to ensure functional safety goals are met, leveraging event detector outputs to quantify exposure and severity in field data.
• Design, implement, and maintain event detectors for vehicle log data – translating observed field behaviors, near‑misses, and edge cases into precise, reproducible detection logic.
• Partner with data engineering and simulation teams to integrate event detectors into automated pipelines, ensuring detected events are consumed in regression suites and simulation scenario libraries to accelerate issue discovery and resolution.
• Collaborate with cross‑functional teams to develop system‑level concepts for critical autonomous vehicle features, with a focus on defining observable, measurable behaviors that can be monitored in production log data.
• Define and maintain system and subsystem requirements, ensuring full traceability from stakeholder needs to technical implementation, including traceability from requirement to field event detector to simulation scenario.
• Analyze large‑scale vehicle log datasets to characterize event frequency, severity, and distribution across the operational design domain (ODD); communicate findings to engineering leadership and safety teams.

Qualifications and Experience

Required Qualifications:

• 3–5 years of experience in automotive or robotics engineering, with at least 2 years working on autonomous driving systems in a data analysis, systems, or software engineering capacity.
• Strong understanding of automotive and autonomous vehicle technologies, including sensor modalities (camera, lidar, radar), perception pipelines, and prediction/planning system behavior.
• Hands‑on experience writing signal‑ or rule‑based detectors, classifiers, or monitors against structured log data (e.g., ROS bags, Parquet/Arrow, or proprietary vehicle log formats).
• Familiarity with autonomous vehicle simulation platforms (e.g., CARLA, in‑house sim); ability to translate a log‑derived event into a parameterized simulation scenario.
• Ability to perform data analysis on large datasets using Python (pandas, numpy, polars) and SQL; experience with distributed data platforms (Spark, Dask, or similar) is a plus.
• Experience using Linux, command‑line interface, git or any source control is required.
• Knowledge of requirements management and requirement‑based design, with experience linking field observations back to system‑level…