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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