Data Analytics Engineer Visa Sponsorship Jobs in Michigan

INTRODUCTION

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.

Essential Responsibilities

• 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

Candidates most successful in this role typically hold the following qualifications or comparable knowledge or 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 requirements and safety claims.
• Strong communication skills with technical and non-technical teams.
• Comfortable continuously learning new software and workflows.

Physical Requirements

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

• Prolonged sitting

• Prolonged standing

• Prolonged computer use

• Travel Required? Select Expected Travel

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.

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

• Salary Range: $125,000—$140,000 USD