Staff Motion Planning Engineer – Trajectory Generation

Motional

Staff Motion Planning Engineer developing trajectory generation algorithms for autonomous vehicles at Motional. Leading architectural decisions and driving innovative research in motion planning.

Posted 7/13/2026full-timeLas Vegas • Nevada • 🇺🇸 United StatesLead💰 $205,000 - $272,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in C++ software development and a deep understanding of Model Predictive Control, motion planning architectures, and numerical optimization algorithms. Proven ability to lead technical initiatives and cultivate team growth in complex system environments.

Highest-signal resume keywords

C++ Software DevelopmentModel Predictive Control (MPC)Numerical Optimization AlgorithmsReal-Time Embedded EnvironmentsTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

C++Model Predictive ControlNumerical OptimizationMotion PlanningVehicle DynamicsClosed-Loop SimulationPython

Soft Skills

Technical Growth CultivationArchitectural Co-Design

Certifications & Qualifications

Bachelor’s DegreeMaster’s DegreePhD Degree

Industry Keywords

RoboticsComputer ScienceComputer EngineeringElectrical Engineering

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Define, justify, and navigate complex system trade-offs and highly technical concepts
Lead architectural co-design and alignment with adjacent teams
Author high-impact project proposals that anchor long-term technical roadmaps
Cultivate the technical growth of senior and junior team members

Requirements

What you’ll need

5+ years (or equivalent expert level) of production-grade C++ software development
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
Deep, domain-expert experience with Model Predictive Control (MPC), motion planning architectures, planning under uncertainty, vehicle dynamics/control, and closed-loop simulation environments.
Thorough mathematical understanding of non-linear and numerical optimization algorithms
Extensive experience deploying, customizing, and scaling numerical optimization solvers within real-time embedded environments
Strong knowledge of Python is considered a bonus

Benefits

Comp & perks

Medical
Dental
Vision
401k with a company match
Health saving accounts
Life insurance
Pet insurance
Bonuses