Engineering Manager - Planning & Controls

Applied Intuition•Sunnyvale, CA

50d•Onsite

About The Position

As an Engineering Manager on the Trucking Autonomy team, you'll lead a world-class group of engineers focused on building and deploying scalable planning and control systems for commercial trucking. You will own the architecture and delivery of a next-generation system, focusing on safe and efficient movement in high-traffic highway and suburban environments. This opportunity includes driving critical architectural and business decisions, mentoring and building high-impact teams, and owning a significant portion of our autonomy stack for trucking that has significant contract value and business opportunity. At Applied Intuition, you will: Drive the overall strategy, technical roadmap, and architecture for motion planning and controls dedicated to L4 autonomous trucks Guide the design and implementation of robust, safety-critical algorithms for various driving domains, including urban streets, highways, and diverse environmental conditions Grow and manage a team of world class engineers in the field of control systems for autonomous driving Evolve the architecture to achieve the final goal of an L4 end-to-end stack Work cross functionally with other teams, including Perception, Remote Assistance, Simulation, and Vehicle Operations, to ensure the robust and efficient integration of the motion planning and controls software stack Work across the different verticals in the company, and help create technology used across trucks and cars, for all levels of automation

Requirements

5+ years of experience in robotics or autonomous systems, with a focus on motion planning and control systems
Experience in two or more of the following: behavior planning, path planning, motion planning, trajectory generation, control theory
Demonstrated ability to architect large-scale, production software for real-world robotic or automotive systems
Proven leadership experience managing engineering teams, setting goals, and overseeing technical projects
Strong communication and problem-solving skills

Nice To Haves

Direct experience working in the Trucking autonomy domain
Hands-on experience developing and testing planning algorithms on an autonomous vehicle
Experience writing safety-critical, high-performance software using modern C++
Experience in quadratic programming and nonlinear optimization to create robust and performant controllers
Experience applying machine learning techniques to vehicle dynamics modeling

Responsibilities

Drive the overall strategy, technical roadmap, and architecture for motion planning and controls dedicated to L4 autonomous trucks
Guide the design and implementation of robust, safety-critical algorithms for various driving domains, including urban streets, highways, and diverse environmental conditions
Grow and manage a team of world class engineers in the field of control systems for autonomous driving
Evolve the architecture to achieve the final goal of an L4 end-to-end stack
Work cross functionally with other teams, including Perception, Remote Assistance, Simulation, and Vehicle Operations, to ensure the robust and efficient integration of the motion planning and controls software stack
Work across the different verticals in the company, and help create technology used across trucks and cars, for all levels of automation