Engineering Manager, Autonomous Vehicles, Computer Vision and Robotics

job
  • The Rundown AI, Inc.
Job Summary
Location
San Francisco ,CA 94199
Job Type
Contract
Visa
Any Valid Visa
Salary
PayRate
Qualification
BCA
Experience
2Years - 10Years
Posted
27 Feb 2025
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Job Description
Scale’s Automotive Data Engine is an industry-leading solutions for improving perception systems. Leading companies like GM, Nuro, Valeo, Motional, and Mobileye work with Scale to curate data, create high-quality labeled datasets, and track perception model improvement.About This Role:As the Engineering Manager for the Autonomous Vehicle / Computer Vision (AVCV) team at Scale AI, you will lead teams responsible for our data products spanning 2D and 3D data annotation, foundation model robotics, and data management. This critical role encompasses leadership across Product Management, Engineering, and Customer Engineering teams to deliver solutions that align with the strategic needs of our customers. You will also represent the company to customer and industry partners and set the pace for innovation and operational excellence in our offerings.Responsibilities:Lead roadmapping, product delivery, and development for our Automotive Data Engine product suite (2D, 3D, Mapping, and Robotics)Manage diverse teams of Product Managers, Engineering Managers, and Solutions EngineersCreate industry-leading solutions to deliver measurable improvements to customers in data quality, cost, and speedBuild and mentor a high-performing technical teamMaintain strong relationships with partners, key customers, and internal stakeholdersQualifications:10+ years of professional experience and 5+ years managing teams5+ years of experience in autonomous vehicles, perception systems, or roboticsDeep expertise in the autonomous vehicle sensor stack, including LIDAR and camera technologies, data pipelines, and perception systemsDemonstrated experience in managing large-scale human operations systemsTrack record of shipping excellent products and operating effectively in dynamic environmentsProven leadership capabilities with a track record of managing high-performing cross-functional teams

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