Key Responsibilities

Lead component development by defining, configuring and maintaining development environments
Function as technical contact main point and drive technical issues to resolve
Benchmarking and maintaining developed modules
Work independently to deliver high-quality work in a timely fashion
Collaborate with team for testing, evaluation, and review of component
Travel as required
Qualific

Responsible for ICV component development and release. Responsible for definition of component requirements and development where strong analytical and problem-solving skills, creativity, resourcefulness, adaptability, initiative and independent judgement are involved.

Key Responsibilities

Lead component development by defining, configuring and maintaining development environments
Function as technical contact main point and drive technical issues to resolve
Benchmarking and maintaining developed modules
Work independently to deliver high-quality work in a timely fashion
Collaborate with team for testing, evaluation, and review of component
Travel as required
Qualifications

Strong knowledge and internship experience in: ADAS system (features and sensors, like Radar, Lidar, camera), signal processing, image processing, geometric computer vision, sensor fusion and deep learning
Experience in deploying deep learning models at scale on real-world data in at least one of these deep learning frameworks: PyTorch, Tensorflow
Knowledge of Vehicle communication protocol, like CAN/GMLAN/Ethernet
Knowledge of diagnostic protocols and tools
Knowledge of system safety is a plus
Strong problem-solving skills
Education and Training

·Education: B.S. or M.S. degree in Computer Science, Electrical Engineering, Robotics, Mathematics, Statistics, Physics and Mechanical Engineering.

·Experience within the automotive industry

ations

Strong knowledge and internship experience in: ADAS system (features and sensors, like Radar, Lidar, camera), signal processing, image processing, geometric computer vision, sensor fusion and deep learning
Experience in deploying deep learning models at scale on real-world data in at least one of these deep learning frameworks: PyTorch, Tensorflow
Knowledge of Vehicle communication protocol, like CAN/GMLAN/Ethernet
Knowledge of diagnostic protocols and tools
Knowledge of system safety is a plus
Strong problem-solving skills
Education and Training

·Education: B.S. or M.S. degree in Computer Science, Electrical Engineering, Robotics, Mathematics, Statistics, Physics and Mechanical Engineering.

·Experience within the automotive industry