Published on 1 October 2019

R&D Engineer – AI Software Engineer

Responsibilities

Develop software and hardware tools pertaining to vision / deep learning activities
Optimize neural networks to reach desired inference time that meets constraints
Testing of new sensors such as cameras, lidars and radars that could improve the system
Integrate deep learning related code to real-time systems using ROS
Investigate issues in simulation or/and vehicle
On-site HW/SW integration tests on autonomous vehicles or on test benches
Collect / Process sensor data for machine learning training purpose
Ensure code compliance with the latest framework evolutions in the company
Implement unit and integration tests as well as tests with hardware-in-the-loop
Interface with remote development team (based in Toulouse)

Essential

Experience with integrating deep learning networks in a released product
Fluent in Python, C++ 14
Linux, ROS, OpenCV
Familiarity with Git, CMake, Jenkins, the agile development process and continuous integration tools
Conscientious and rigorous, capable of handling extensively and accurately different tests and procedures
Continuous Integration processes
Fluent in English
Degree in Engineering/Robotics/Computer Science, or a related field

Desirable
Experience with Tensorflow or other deep learning frameworks
Experience with Docker
Experience in robotics
Knowledge of optics
Good understanding of TensorRT / CUDA
Experience in mobile robotics in outdoor/unconstrained environments

Full time

Singapore

Software Development

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