• Lead Motion Planning and Controls Engineer, Autonomous Driving Jobs in United States Of America - 25699454

  • Ridecell
  • United States Of America, Usa
  • Save Job
  • 5 - 7 Years
  • Posted : above 1 month

Job Description:

At Ridecell
Milpitas, CA

Auro ( wwwauroai ), is now the Autonomous Driving Division of Ridecell While Auro shines in autonomous driving technology, Ridecell has a rich experience in operations and management of large fleets of vehicles at scale United, we are together pushing for the widespread adoption of autonomous mobility within our self driving shuttles and end-to-end mobility service platform We are looking for people whom are passionate about autonomous vehicles and self driving cars, to join us in this exciting journey

We are looking for an expert Autonomous systems engineer who will own and lead the motion planning/controls stack and development of our autonomous vehicles

Responsibilities Own and lead the motion planning/controls/navigation stack and development
Develop algorithms for motion planning, real-time trajectory optimization and navigation of autonomous vehicles through unstructured traffic conditions and for obstacle/collision avoidance
Design and develop motion planning and obstacle avoidance software components to accommodate different uncertainty conditions and stochastic elements coming from external/internal environment
Adopt real-time optimization/planning techniques in developing navigation software
Implement and test algorithms in simulation environment, followed by bench marking and validating the system with on-field, in-car testing

Requirements MS/PhD in CS / EE / Robotics / AE or equivalent
5-7 years of professional experience in Robotics or Autonomous Vehicle projects and 1-2 years of leadership experience
Strong foundations in engineering analysis, applied mathematics and applied linear algebra
Expertise in model based (constrained, linear/nonlinear) real-time optimization strategies with emphasis on (fast) real-time implementation
Experience/expertise in control theory (eg model predictive control, robust/nonlinear/optimal/adaptive control) and, vehicle dynamics & modelling
Experience with and exposure to search based motion planning algorithms such as A*, RRT, RRT*, probabilistic planners, lattice-based planners
Deep understanding and practical experience in full navigation stack from top level route planners to low level controllers
Exposure and familiarity with vehicle models, system identification and parameter identification
Extensive experience in C programming and algorithm design
Comfortable with ROS

Preferred Skilled in linear/nonlinear control theory
Experience or know/how in adopting/developing real-time trajectory and motion planning systems for robot navigation

Profile Summary:

Employment Type : Full Time
Eligibility : Any Graduate
Industry : IT-Hardware/Networking, Telecom
Functional Area : IT Software : Software Products & Services
Role : Software Engineer
Salary : As per Industry Standards
Deadline : 19th Jul 2020

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