Senior Motion Planning Engineer

2 hours, 46 minutes ago
Full-time
Senior
Artificial Intelligence and Machine Learning
Motional

Motional

Motional is a leading company in driverless technology and autonomous vehicles, leveraging decades of industry expertise to develop and deploy safe and reliable autonomous vehicles. With a powerful DNA combining Aptiv's automotive technology and Hyunda...

Automotive
1K-5K
Founded 2020
$20M raised

Description

  • Lead research and development of novel motion planning algorithms for autonomous driving, including search-based, geometry-based, and probabilistic approaches.
  • Architect and integrate motion planning and prediction algorithms and evaluate them for real-world deployment.
  • Design and build a robust, scalable, high-performance codebase for rapid prototyping and rigorous algorithm evaluation.
  • Collaborate with perception, prediction, trajectory optimization, tracking, and control teams to ensure end-to-end system performance.
  • Teach and promote strong software development practices and principles across the team.
  • Mentor junior team members and help foster a product-focused, research-driven engineering culture.

Requirements

  • PhD preferred in Robotics, Computer Science, Computer Engineering, Mechanical Engineering, or a related field.
  • Master's degree with 2+ years of experience in robotics, preferably in the AV industry.
  • 5+ years of research experience in robotics or motion planning with a proven track record of state-of-the-art contributions.
  • 3+ years of C++ software development experience focused on high-performance, reliable systems.
  • Experience owning and leading complex technical features from problem formulation through research, implementation, and deployment in production.
  • Strong interest in continuous innovation and advancing autonomous driving technology.
  • Experience with probabilistic models such as Gaussian mixture models, Hidden Markov Models, and Particle Filters (preferred).
  • Experience with Bayesian modeling and inference techniques for decision making under uncertainty (preferred).
  • Experience with the Bazel build framework (preferred).

Benefits

  • Base salary range of $168,000 to $225,000 USD.
  • Additional compensation may include a bonus and company equity.
  • Medical, dental, and vision insurance.
  • 401(k) with company match.
  • Health savings accounts.
  • Life insurance.
  • Pet insurance and other benefits.

Interested in this position?

Apply directly on the company website

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