Job Purpose:  The Research Engineer –perception is a research and development role within THRSL. Research Engineer is expected to develop state-of-the-art mapping algorithms. And will work on the development of leading-edge products including the next-generation products.

Role Expectations: 

• Take algorithms from conception to implementation and deployment.
  

• Build robust solutions to cutting edge Autonomous driving problems.
  

• Train and Develop Deep Learning Algorithms on GPU cluster to perform tasks such as object detection, segmentation
  

• Develop state of the art algorithms in the areas such as Object detection, tracking, Multi-task learning, distributed training, multi-sensor fusion
  

• Develop software for real-time processing of sensor data, including cameras, LIDAR, and other sensors 
  

• Optimize the algorithms to run on the edge computing device
  

• Work across Perception, Motion planning, Behavior planning and Control system components.
  

• Implement fast reliable production grade code (C, C++, Linux).
  

• Work with existing code base to optimize performance.         
  

Requirements

Technical :

• Solid Strong programming experience in writing production-grade safe C++ code.
  

• Experience with ROS/Autonomous Vehicles/Path Planning.
  

Behavioural :

         We value behaviour aligned with CCODERS  

• Customer First: Operate with customer success mind set and align all our actions accordingly.
  

• Collaborative problem solving: Organisation interest supersedes individual interests; working together to solve problems effectively. 
  

• Ownership & Commitment: Going above & beyond the call of duty while also keeping up with the promises & targets under any circumstances.
  

• Data Driven, First Principle : Objective Decision making based on data (Not on Hunches)
  

• Expanding-Growth Mind set: Be open to new challenges whilst willing to step out of comfort zone in order to learn and grow.
  

• Result & commercial orientation: Manage cost and resources to achieve business outcomes & commercial success.
  

• Speed and Scalable Process Approach: Deploy processes that are flexible, agile and unlocks business value with speed.
  

PEOPLE SPECIFICATIONS

 Profile: Ideally ~

• Masters/PhD in Electrical/Electronics/ Computer Science or an equivalent Mathematics field + Machine Learning Background.
  

• 2-4 years of industry experience.
  

• Strong understanding of fundamentals: Linear Algebra, Optimization, Supervised and Unsupervised Algorithms, Generative and Discriminative Techniques.
  

• Experience in Computer Vision, Deep Learning Algorithms and in C/C++ coding.
  

• Good knowledge of algorithm development.
  

• Experience with camera sensors, LIDARs, calibration.
  

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

Requisites: Exposure to software development in autonomous mobile robots with manufacturing/defense/MR/ADAS/automation background.