ADAS Data Platform Supervisor

Ford Motor • Dearborn, MI

1d • Hybrid

About The Position

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to change the way the world moves? In this position... Ford’s ADAS team is pushing the boundaries of what’s possible in semi-autonomous driving, developing industry-leading technologies like BlueCruise and Pre-Collision Assist. To support these features, we need robust, high-performance web applications and data services that allow our engineers and analysts to visualize, annotate, and interpret massive amounts of vehicle data. We are seeking an Engineering Supervisor to lead a team engineers responsible for our internal full stack ecosystem. You will oversee the development of our specialized visualization tools and data annotation platforms that fuel our analytics engine. The ideal candidate is a systems-thinker who understands how to build scalable cloud infrastructure while optimizing for the unique challenges of streaming large-scale robotics data.

Requirements

• Bachelor's Degree in Electrical Engineering, Computer Science, or a related field
• Deep expertise in Node.js and React frameworks.
• Experience with Foxglove Studio or similar robotics visualization platforms (e.g., Webviz, RViz).
• A strong understanding of server-client architecture
• Proven experience deploying and managing full stack applications on private/public cloud
• Proficiency handling large-scale multimodal data formats (mcap, rosbag).
• A proven track record of mentoring junior engineers and providing effective leadership and technical vision for senior engineers.
• The ability to distill high-level requirements and granular software implementation.

Nice To Haves

• Experience in the automotive or robotics industry.
• Familiarity with ADAS concepts (perception, mapping, localization, path planning).
• Experience building tools specifically for machine learning data pipelines.

Responsibilities

• Lead, mentor, and grow a team of five full stack software engineers. You will be responsible for the career growth of junior developers and the strategic direction of senior individual contributors.
• Take full ownership of our in-house visualization stack. This includes developing custom JavaScript extensions to overlay complex 3D data, such as integrating satellite imagery and map tiles with real-time vehicle perception data.
• Oversee the development of web applications used by data analysts to annotate vehicle events. Ensure seamless integration between backend and frontend interfaces, managing the lifecycle of data from mcap files to ML training sets via automated workflows.
• Own and maintain the backend multimodal file server. You will ensure the reliable streaming of data from our on-prem data centers to browser-based clients, optimizing for low latency and high concurrency.
• Apply rigorous systems thinking to the software lifecycle. You will decompose complex implementation requirements from a clear Concept of Operations (ConOps) and ensure all features are validated against real-world ADAS needs.
• Prioritize and enforce high standards for technical documentation to ensure the long-term maintainability of our tools.

Benefits

• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
• Paid time off and the option to purchase additional vacation time.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager