Staff Motion Planning Engineer - Trajectory Generation

Motional•Las Vegas, NV

8d•Hybrid

About The Position

On our Motion team, you will serve as a technical leader, leveraging your deep expertise in motion planning, robotics, and software development to architect and advance the capabilities of production-ready autonomous vehicles. In this role, you will drive innovative research, own systemic design processes, and spearhead the implementation of performance-critical algorithms that enable safe, comfortable, and intuitive autonomous vehicle behaviors across Motional's fleet of robotaxis. If you are passionate about autonomous driving, thrive on solving challenging motion planning problems, and are eager to make a significant impact in a rapidly evolving field, we want to hear from you.

Requirements

5+ years (or equivalent expert level) of production-grade C++ software development, with a proven track record in real-time, low-latency, or safety-critical applications.
Bachelor’s, Master’s, or PhD degree preferred in Robotics, Computer Science, Computer Engineering, Electrical Engineering, or a related field.
A distinct track record of defining, scaling, and leading large-scale technical development initiatives from initial problem formulation through algorithm design, validation, and on-vehicle production implementation.
Deep, domain-expert experience with Model Predictive Control (MPC), motion planning architectures, planning under uncertainty, vehicle dynamics/control, and closed-loop simulation environments.
Thorough, first-principles mathematical understanding of non-linear and numerical optimization algorithms (including interior point methods, sequential quadratic programming, and convex/non-convex optimization formulations).
Extensive experience deploying, customizing, and scaling numerical optimization solvers (e.g., IPOPT, Gurobi, OSQP, CasADi) within real-time embedded environments.

Nice To Haves

Strong knowledge of Python for simulation, data analysis, or rapid prototyping is considered a bonus

Responsibilities

Define, justify, and navigate complex system trade-offs and highly technical concepts to engineering peers and executive leadership to drive critical platform-level decisions.
Lead architectural co-design and alignment with adjacent teams working on decision/behavior planning, prediction, and vehicle control to build comprehensive, integrated, and safety-critical solutions.
Author high-impact project proposals that anchor long-term technical roadmaps and span multiple safety-critical vehicle subsystems.
Cultivate the technical growth of senior and junior team members alike, fostering an organizational culture of product-focused engineering, rigorous research, and cutting-edge development.
Drive the long-term technical strategy and framework for motion planning and trajectory optimization algorithms to guarantee safe, smooth, and comfortable vehicle motion.
Own the structural design of robust and scalable software that enables real on-road impact by evaluating, benchmarking, and integrating diverse optimal control techniques and motion planning algorithms.
Establish code quality benchmarks and lead high-impact architectural code and design reviews (C++) based on an exhaustive understanding of the cross-functional teams' services and technologies.
Champion and define modern development toolchains, including next-generation testing frameworks, high-fidelity simulation, and continuous integration, to enable rapid development cycles across the organization.