Job Description

Job Description:

A leading international research organization in the automotive and mobility space is conducting advanced research in the marine environment and automated vessel domain. They are seeking a Motion Planning Engineer with expertise in motion planning, advanced controls, reference trajectory generation, machine learning, and robotics engineering.

In this role, you’ll focus on vessel trajectory planning, control systems, and collaborate closely with AI and robotics experts as well as academic research partners. You’ll be involved in both research and real-world trials, contributing to innovative marine robotics solutions.

Responsibilities

Conduct research in marine robotics with an emphasis on motion planning, control systems, reference path generation, and system modeling
Stay up to date on the latest theories and algorithms in perception and planning, including MPC, MPPI, and related methodologies
Assist in technical documentation including research papers, presentation slides, and tech transfer documentation
Develop software for early-stage prototypes and proof-of-concept systems using ROS I/II, Python, and C++
Perform simulation and target testing for developed systems
Contribute to brainstorming and ideation sessions for mobility and robotics applications
Participate in collaborative projects with industry, government, and academic institutions related to autonomous marine systems

Required Skillset

2+ years of hands-on experience in robotics software development (Python, MATLAB, C/C++)
Proven experience in motion planning, reference trajectory generation, and control systems
Strong understanding of robotics system modeling and planning algorithms
Experience with machine learning concepts and AI-driven methodologies
Demonstrated ability to tackle loosely defined problems with innovative solutions
Master’s or PhD (preferred) in Robotics Engineering, Naval Engineering, Mechanical/Electrical Engineering, Machine Learning, or related field

Bonus Skillset

Familiarity with marine robotics or USV (Unmanned Surface Vessel) applications
Experience with perception and tracking algorithms
Knowledge of localization methods and control actuators
Proficient in Unix/Linux environments
Experience with Observer Models and generative AI applications

Location: San Jose, CA (Hybrid)

Type: Contract

Duration: 12 months

Job Tags

Contract work,

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