Research Engineer

I.Hiring specifications

Job Purpose:

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.

Reporting structure:

Role will report into Technical Lead

Interactions:

Internal Stakeholders: HODs, Research & Sr Research Engineers in Mobile robots department in R&D function, System & Solution Integration team etc.

External Stakeholders: Customers/Clients

II.PEOPLE SPECIFICATIONS

Profile:

· 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:

Competencies:

Technical :

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

· Experience with ROS/Autonomous Vehicles/Path Planning.

Behavioural :

Hi Tech way of working:

• 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.