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Motional

Staff Motion Planning Engineer - Trajectory Generation

RemoteUnited States only
Published
Role
AI / ML
Experience
Staff
Employment
Full-time
Company size
Enterprise
$205k–$272.5k/yr
Check eligibility

Open to US only. Set where you work from to check your eligibility.

No BS summary

Staff-level motion planning engineer for autonomous vehicles with 5+ years of production-grade C++ in real-time, low-latency, or safety-critical systems. Needs deep expertise in MPC, trajectory optimization, vehicle dynamics/control, numerical optimization solvers, and on-vehicle production implementation. US-based role: Boston, Pittsburgh, Las Vegas hybrid or fully remote U.S.

Core skills

C++Model Predictive ControlTrajectory Optimization

Required skills

IPOPTGurobiOSQPCasADi

Optional skills

Python

What you'll do

  • Serve as a technical leader, leveraging deep expertise in motion planning, robotics, and software development to architect and advance the capabilities of production-ready autonomous vehicles.
  • 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.
  • 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.
  • 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.

What they require

  • 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.
  • Preferred: Strong knowledge of Python for simulation, data analysis, or rapid prototyping.
  • Hybrid schedule with in-office time at one of the locations in Boston, Pittsburgh, or Las Vegas is encouraged, or this role can be fully remote.
  • All newly-hired employees are queried through E-Verify to verify their identity and employment eligibility.

Benefits

  • This role may include additional forms of compensation such as a bonus or company equity.
  • Medical insurance.
  • Dental insurance.
  • Vision insurance.
  • 401k with a company match.
  • Health saving accounts.
  • Life insurance.
  • Pet insurance.
  • Progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization.

Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality.

🇺🇸 United StatesAutonomous VehiclesEnterprise

Details

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$205k–$272.5k/yr