- Develop state-of-the-art algorithms in one or all the following areas: deep learning (convolutional neural networks), object detection/classification, object tracking, scene understanding, pose estimation, 3D scene reconstruction, stereo vision, multi-sensor fusion between Camera, Radar, and Lidar.

- Ground truth, test, and validate algorithms for statistical performance, as it relates to current state-of-the art and other sensor modalities.

- Implement computer vision algorithms in an embedded development environment (Good to have)

- Low memory models via compression/Quantization or other techniques suitable for deployment (Good to have)

- Knowledge in Cuda Programing (Good to have)

- Knowledge in automotive domain(good to have)

Must Have

• Deep knowledge in Computer Vision
• Deep knowledge in Deep learning
• Strong hands-on experience in Computer Vision and Deep learning

- BTech/MTech in Computer Science, Engineering, Mathematics, or equivalent experience.

- At least 6 years related experience

- Strong competencies in the state of art AI tools

- Strong in C++/Python

- Good to have l

Key Skills

Computer vision; deep learning; C++; Image processing; linux development; Neural networks; Analytical; Automotive; Python

About Company

Continental develops pioneering technologies and services for sustainable and connected mobility of people and their goods. Founded in 1871, the technology company offers safe, efficient, intelligent and affordable solutions for vehicles, machines, traffic and transportation. In 2022, Continental generated sales of 39.4 billion and currently employs around 200,000 people in 57 countries and markets.