Motion Planning Engineer

Overview

Hybrid
$50 - $65
Contract - W2
Contract - 12 Month(s)

Skills

Robotics
Marine Robotics
Motion Planning

Job Details

A leading international research organization is launching an innovative initiative focused on autonomous marine mobility. They are seeking a Robotics Research Engineer with expertise in motion planning, trajectory generation, and control systems to help develop next-generation uncrewed surface vessel (USV) technologies.

This is a unique opportunity to join a newly established team at the forefront of early-stage research and development in marine robotics. The ideal candidate is a self-starter who thrives in ambiguity, enjoys hands-on testing, and is motivated by the challenge of solving complex, real-world problems.
Responsibilities:

  • Conduct R&D focused on motion planning and control for autonomous marine vessels in dynamic, real-world environments.

  • Design and implement advanced algorithms including Model Predictive Control (MPC) and MPPI.

  • Develop early-stage software and proof-of-concept systems using Python, ROS I/II, and C++.

  • Support system modeling, trajectory planning, and simulation-based validation.

  • Participate in hands-on marine field testing (with travel required), including hardware setup and real-time debugging.

  • Collaborate with global research partners and technical teams across disciplines.

  • Assist in preparing technical documentation, including research papers and internal presentation materials.

  • Contribute to innovation discussions on autonomous mobility applications and novel use of machine learning.


Required Skillset:

  • 2+ years of experience (academic or industry) in robotics development, focused on motion planning and control
  • Proficient in Python; working knowledge of C++ and ROS I/II
  • Solid understanding of planning/control theories, such as MPC.
  • Comfortable working independently in ambiguous research environments.
  • Willing and able to participate in field testing (including boat-based trials and early morning hours).
  • Strong communication and collaboration skills for working on cross-functional and international teams.
  • Master s or PhD in Robotics, Mechanical/Electrical Engineering, Naval Engineering, or a related field.

Bonus Skillset:

  • Experience with marine robotics or USV applications.
  • Familiarity with dynamic stability control (DSC) and adaptive control strategies.
  • Exposure to machine learning integration in control systems (e.g., reinforcement learning, generative models).
  • Experience contributing to technical publications or conference presentations.
  • Comfortable in Unix/Linux environments; MATLAB experience is a plus.
  • Multilingual communication skills or openness to collaborating with international teams using interpreters.

Location: San Jose, CA (Hybrid)
Type: Contract
Duration: 12 months

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