Engineering Manager, Perception and Machine Learning

Job description

Job responsibilities

• Lead, manage, and develop a team of perception, machine learning, sensor fusion, and software engineers.
• Own team planning, prioritization, execution, and delivery against the Perception & ML roadmap.
• Establish clear goals, responsibilities, and expectations for the team and hold engineers accountable for results.
• Partner with senior technical contributors to guide architecture and technical decisions across computer vision, sensor fusion, tracking, detection, classification, segmentation, and related capabilities.
• Oversee development and maturation of model training, evaluation, data curation, validation, and deployment workflows.
• Ensure perception capabilities are designed around real-world performance, reliability, compute constraints, and field readiness.
• Partner cross-functionally with Autonomy, Embedded, Data, Simulation, Hardware, Product, Programs, and Field Operations.
• Translate customer, mission, and product requirements into clear engineering priorities and execution plans.

Job requirements

• Bachelor’s degree in Computer Science, Machine Learning, Robotics, Electrical Engineering, Computer Engineering, or a related technical field.
• 7+ years of relevant engineering experience in perception, machine learning, computer vision, robotics, autonomy, sensor fusion, or related fields.
• 2+ years of direct people-management experience, ideally managing engineers in a highly technical environment.
• Strong technical understanding of modern perception systems, including computer vision, sensor fusion, tracking, detection, classification, or ML-based scene understanding.
• Experience taking ML or perception capabilities from development through testing and deployment in real-world systems.
• Demonstrated ability to manage engineering priorities, technical roadmaps, dependencies, and delivery across multiple initiatives.
• Experience hiring, coaching, developing, and evaluating engineering talent.
• Strong cross-functional leadership skills and experience partnering with software, autonomy, data, hardware, product, and field teams.