Phd -Pathplanning & Controls

I. Hiring specifications

Job Purpose : Phd path planning and controls is a research and development role within NHRSL. Incumbent is expected to develop state-of-the-art Path planning and controls algorithms. And will work on the development of leading-edge products including the next-generation products. RD Engineer is expected to develop state-of-the-art Path planning algorithms.

Role Expectations:

Take algorithms from conception to implementation and deployment

Build robust solutions to cutting edge Autonomous driving problems

Work across Motion planning, Behavior planning and Control system components

Implement fast reliable code (C, C++, Linux)

Work with existing code base to optimize performance

Deploy and deliver algorithms based on robotic path planning, motion planning and decision making (A*, RRT, CC-RRT etc.) to create systems and products

Conceptualize, prototype, test, and launch cutting-edge autonomous navigation

Development of algorithms based on SLAM and ROS for robotic movement and pick and place operations in a warehouse/factory

Development of algorithms for control mechanism of robots along with optimizing fleet management system for autonomous robot fleet deployment

Interactions:

• Internal Stakeholders: HODs, Research Sr Research Engineers in Mobile robots department in RD function, System Solution Integration team etc.
• External Stakeholders: Customers/Clients

II. PEOPLE SPECIFICATIONS

Profile: Ideally ~

Masters/PhD in Robotics, AI intelligent systems or an equivalent field

2-7 years of industry experience in industrial automation or robotics

Experience in python / C /C++ coding.

Experience in Probabilistic Robotics, SLAM, Optimal Control, Motion Planning.

Strong expertise in Motion planning, trajectory planning, localization, and Autonomous systems.

Strong understanding of Model Predictive and PID controllers

Background in Optimal and learning-based control would be a strong plus

Strong understanding of Motion control algorithms for Autonomous Driving Applications

Understanding of filtering techniques such as Kalman filters, Particle filters, Bayes Filters, trajectory planning, and drive-by-wire system

Requisites: Exposure to software development in autonomous mobile robots with manufacturing and automation background.

Competencies:

Technical :

Strong software Engineering and Algorithm Development

Experience with ROS/Autonomous Vehicles/Path Planning.

Strong skills in Machine Learning and Deep Learning

Strong understanding of Motion control algorithms for Autonomous Driving Applications

Hands-on experience in robotic and/or autonomous vehicle system design and implementation

Behavioural :

Hi Tech way of working: We value behaviour aligned with CCODERS

• Collaborative: Organization interest supersedes individual interests; Helping others succeed.
• Commitment: Keeping up with the promises targets under all circumstances
• Ownership: Going above and beyond the call of duty
• Data Driven, Frist Principle: Objective Decision making based on data (Not on Hunches).
• Empowerment: Take initiative act decisively
• Result Commercial Orientation: Focus on outcomes stay aligned to business objectives
• Speed, Agility, Velocity: Quickly adapt to dynamic environments; learn act fast