Motion Planning Engineer - Trajectory Generation

Motional

• $142K — $190K *
Transportation
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 0 - 3+ years of C++ software development experience, including educational projects and internships
  • Bachelor's, Master's, or PhD degree in Robotics, Computer Science, Computer Engineering, Electrical Engineering, or a related field
  • Experience with Model Predictive Control (MPC) and motion planning techniques
  • Familiarity with optimization algorithms and solvers (e.g., IPOPT, Gurobi)
  • Strong understanding of numerical optimization and vehicle dynamics

Responsibilities

  • Develop state-of-the-art trajectory optimization algorithms for safe and comfortable vehicle motion
  • Design and build scalable software systems for real on-road impact
  • Conduct high-quality code and design reviews in C++
  • Leverage modern development toolchains for efficient software development
  • Collaborate with machine learning and vehicle control teams for integrated solutions
  • Create project proposals to guide long-term technical roadmaps
  • Mentor junior team members in product-focused engineering culture

Benefits

  • Comprehensive medical, dental, and vision insurance
  • 401k plan with company matching contributions
  • Health savings accounts
  • Life insurance coverage
  • Pet insurance options
Full Job Description
On our Motion team, you will have the unique opportunity to be part of a dynamic team consisting of world class talent that is responsible for delivering robust trajectory generation algorithms for Motional's commercial driverless endeavors. You will leverage your expertise in motion planning, robotics, and software development to advance the capabilities of production-ready autonomous vehicles. In this role, you will conduct innovative research, lead design processes, and implement performance-critical algorithms that enable safe, comfortable, and intuitive autonomous vehicle behaviors across Motional's fleet of robotaxis. You will have the opportunity to work cross functionally with different stakeholders in the motion planning and controls team.

This role is at the intersection of product development and research. If you are passionate about autonomous driving, thrive on solving challenging optimization problems, and are eager to make a significant impact in a rapidly evolving field, we want to hear from you.
Technical Scope
  • Develop state-of-the-art trajectory optimization algorithms to ensure safe and comfortable vehicle motion, and integrate with the overall motion planning architecture
  • Design and build robust and scalable software that enables real on-road impact by evaluating different control techniques and motion planning algorithms
  • Provides high-quality code and design reviews (C++) based on a deep understanding of the teams' services and technologies
  • Leverage modern development toolchains, including testing, simulation, and continuous integration, to enable rapid development cycles
Role responsibilities
  • Understands and explains trade-offs, complex concepts to peers and leaders to drive decisions.
  • Collaborate with teams working on (ML) decision/behavior planning, prediction, and vehicle control to build comprehensive and integrated solutions
  • Creates project proposals that drive long-term technical roadmaps and span multiple sub-systems.

Mentor junior team members to develop a culture of product-focused engineering, research, and development.
What we're looking for
  • 0 - 3+ years of C++ software development (educational experience working on projects, internships, PhD research also counts)

Bachelors, Masters, or PhD degree preferred in Robotics, Computer Science, Computer Engineering, Electrical Engineering, or a related field.
  • Experience with Model Predictive Control (MPC), motion planning, planning under uncertainty, vehicle dynamics and control, and simulation environments
  • Understanding of numerical optimization algorithms (interior point method, sequential quadratic programming, etc)
  • Experience with optimization solvers (IPOPT, Gurobi, etc)
  • Past experience owning and leading technical development on features from problem formulation, algorithm design, through implementation
  • Knowledge of Python is a bonus
  • Strong team player with excellent communication skills


The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.

Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.

Salary Range

$142,000-$190,000 USD

Similar Jobs

More Jobs at Motional

More Transportation Jobs

Find similar Motion Planning Engineer - Trajectory Generation jobs: