we are a pioneering force in the autonomous vehicles (AV) industry. If you are a bright hands-on developer with a passion for making a difference - join us to make AV a reality.
Which department will you join?
our companys AI algorithms group utilizes deep learning to revolutionize the way an AV understands its surroundings, in real-time. For that, we develop state-of-the-art multi-task deep neural networks to discern vehicles, pedestrians, and roads semantic information, that are trained on massive amounts of video data. These networks are later deployed on our companys SoC, EyeQ, as backbones for multiple AV products.
What will your job look like?
Design, develop, and implement deep learning algorithms for solving complex problems.
Collaborate with cross-functional teams to understand requirements and develop solutions.
Conduct research, evaluate existing models and techniques, and propose innovative approaches to improve algorithm performance and accuracy.
Optimize existing algorithms to improve performance and scalability.
Research latest advancements in deep learning, multi-task learning, AI architectures and more, and apply them to enhance algorithm capabilities.
Requirements: M.Sc. in Computer Science or a related discipline.
4+ Years of proven experience in developing deep learning algorithms in Python.
Experience with implementing end-to-end deep learning pipelines, including data preparation, retraining, validation and deployment.
Proficiency with deep learning frameworks such as TensorFlow, Keras and PyTorch.
Excellent problem-solving skills
Advantages:
PhD in Computer Science or a related discipline.
Proficiency with C++ development.
Experience with AWS.
Proficiency with Linux environment, virtual environments, and Docker containers.
Experience with implementation of hardware-aware Deep Neural Networks.
This position is open to all candidates.