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Principal Engineer Motion Planning

4 months, 4 weeks ago
United States
Full-time
Lead
Research Scientist
Software Development
C++ Machine Learning
Apply Now
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
View All Jobs 19

Description

  • Lead research and development of novel motion planning algorithms and sub-systems for autonomous driving.
  • Expand the Operational Design Domain through advanced search-based, geometry-based, and probabilistic decision-making methods.
  • Lead cross-functional projects to define new interfaces or improve existing ones.
  • Monitor system performance, identify deficiencies, and develop technical strategies to address them.
  • Architect and integrate motion planning and prediction algorithms for evaluation and real-world deployment.
  • Design and build a robust, scalable, high-performance codebase for rapid prototyping and rigorous evaluation.
  • Collaborate with perception, prediction, trajectory optimization, tracking, and control teams to ensure end-to-end system performance.
  • Teach and promote strong software practices and principles across the team.
  • Mentor junior and senior team members and help foster a product-focused engineering culture.

Requirements

  • PhD preferred in Robotics, Computer Science, Computer Engineering, Mechanical Engineering, or a related field.
  • Master's degree with 7+ years of experience in robotics, preferably in the autonomous vehicle industry.
  • 10+ years of research experience in robotics or motion planning.
  • 5+ years of C++ software development experience focused on high-performance and reliable systems.
  • Proven experience owning complex technical features from problem formulation through research, implementation, and deployment.
  • Track record of contributing to state-of-the-art solutions and leading significant projects.
  • Strong drive for continuous innovation and autonomous driving technology leadership.
  • Experience with probabilistic models such as Gaussian mixture models, Hidden Markov Models, and Particle Filters (preferred).
  • Experience with machine learning techniques such as Bayesian modeling and inference for decision-making under uncertainty (preferred).
  • Experience with the Bazel build framework (preferred).

Benefits

  • Base salary range of $240,000 to $330,000 USD.
  • Potential additional compensation in the form of a bonus or company equity.
  • Medical, dental, and vision coverage.
  • 401(k) with company match.
  • Health savings accounts.
  • Life insurance.
  • Pet insurance.

Interested in this position?

Apply directly on the company website

Apply Now

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