Motion Planning Engineer – Trajectory Generation

Responsibilities

• 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

• 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

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.

• C++ Software Development
• Model Predictive Control (MPC)
• Numerical Optimization Algorithms
• Real-Time Embedded Environments
• Technical Leadership

• C++
• Model Predictive Control
• Numerical Optimization
• Motion Planning
• Vehicle Dynamics
• Closed-Loop Simulation
• Python

• Technical Growth Cultivation
• Architectural Co-Design

• Bachelor’s Degree
• Master’s Degree
• PhD Degree

• Robotics
• Computer Science
• Computer Engineering
• Electrical Engineering