Wellington Steele and Associates

Senior Path Planning Engineer - REMOTE

Location US-MD-Gaithersburg

Overview

 

 

Recruiting for a REMOTE direct hire/fulltime Senior Path Planning Engineer for our client in Gaithersburg, MD.

 

Only conisidereing US Citizens or Green Card holders..

Company Overview

Our client has been developing cutting-edge software and hardware since 2002 and specialize in developing solutions for trucking, transit, logistics, and drone applications. They have autonomous vehicles operating today in four continents, including the largest autonomous truck fleet in the world and the first autonomous bus in North America.  

 

They offer a fast-paced environment where engineering comes first, and a breadth and depth of skills, knowledge, and interests are highly valued.

 

Candidates will have ample opportunities to get their hands dirty testing their designs in our 40,000 square foot engineering and test facility with 241 acres of testing area.

 

In this role, you will be collaborating with a proven team of roboticists and entrepreneurs to provide comprehensive solutions that not only handle the ideal conditions, but in realistic, complex, and sometimes rugged conditions.

Job Description

Currently seeking applications for a full-time Senior Path Planning Research Engineer. Planning plays a critical role in safely and smoothly driving of vehicles in a variety of applications, including on-road mixed traffic and off-road autonomous applications.

 

We are looking for trajectory optimization specialist to implement, tune, and test novel algorithms to enhance components such as motion planning, dynamic/static obstacle avoidance, complex fine positioning maneuvers and platooning.   

 

Responsibilities

  • Research and develop innovative algorithms that solve motion planning problems for both on-road, mixed traffic and off-road autonomous driving, including behavior planning with uncertainty and trajectory optimization
  • Write high-quality and reliable software for autonomous driving in complex scenarios
  • Collaborate with engineers across localization, perception, prediction, machine learning, mapping, and infrastructure to conduct system integration and tests

 

Qualifications

  • U.S. Work Authorization [Required]
  • Masters or PhD in Robotics, Computer Science, Engineering, Math/Statistics or other related fields, or 3+ years of experience working with autonomous vehicles
  • Proven ability to collaborate within the planning team and cross-functional teams
  • Proven experience in one of the following: behavior planning with uncertainty, trajectory optimization, computational geometry, model predictive control, machine learning for motion planning
  • Experience designing and implementing innovative planning algorithms on real-world autonomous vehicles
  • Strong C++ programming and software design skills 
  • Strong knowledge of data structures, graph theory, planning algorithms, physics (vehicle dynamics)
  • Knowledge and experience in advanced learning algorithms including deep learning, reinforcement learning, inverse reinforcement learning

 

 

 

Options

Sorry the Share function is not working properly at this moment. Please refresh the page and try again later.
Share on your newsfeed