Base: $129,600-244,680; bonus/equity: not specifie...
Hybrid
Node.js and react frameworks
Full stack applications on cloud
Large-scale multimodal data formats
Ford Europe is seeking an ADAS Data Platform Supervisor to lead a team of engineers focused on developing web applications and data services for semi-autonomous driving technologies. The ideal candidate should have expertise in full stack development and experience with large-scale data handling, particularly in the robotics or automotive industry
Job Summary
Lead, mentor, and grow a team of five full stack software engineers, responsible for their career growth and strategic direction.
Take full ownership of our in-house visualization stack, including developing custom JavaScript extensions for 3D data overlay and overseeing web applications for data annotation.
Ensure seamless integration between backend and frontend interfaces, managing data lifecycle from mcap files to ML training sets via automated workflows and owning the multimodal file server.
Matching Summary
Match Score: 85
Ford Europe is seeking an ADAS Data Platform Supervisor to lead a team of engineers focused on developing web applications and data services for semi-autonomous driving technologies. The ideal candidate should have expertise in full stack development and experience with large-scale data handling, particularly in the robotics or automotive industry.
Salary
Base: $129,600-244,680; Bonus/Equity: Not specified; Benefits: Immediate medical, dental, vision, prescription drug coverage, flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care, family building benefits, vehicle discount program, tuition assistance, employee resource groups, paid time off for community service, generous paid holidays, paid time off and option to purchase additional vacation time.
Skills & Requirements
Must-have
Node.js and React frameworks
full stack applications on cloud
large-scale multimodal data formats
streaming large-scale robotics data
robotics visualization platforms
Nice-to-have
automotive or robotics industry experience
ADAS concepts familiarity
tools for machine learning pipelines
Key Requirements
Bachelor's Degree in Electrical Engineering, Computer Science, or related field