Senior Research Engineer/ Research Engineer

• 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.
• Solid Strong programming experience in writing production-grade safe C++ code.
  
• Experience with ROS/Autonomous Vehicles/Path Planning.
  
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• 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.