General Motors Israel (Herzliya) takes a significant part in shaping the autonomous vehicle. We work on Active Safety, Smart Sensing, Vision Systems, Signal Processing, Machine Learning, Cyber Security, Sensor Fusion, Artificial Intelligence and Cognitive Systems. The technical domains and ongoing work streams include software and hardware groups (research, development and engineering) that work on the most complex issues and challenges facing the new mobility era. We shape the face of the future vehicles in diverse fields by developing cutting edge technologies.
As we grow, we keep on adding new areas and fields to explore and develop, and have the clear vision of hiring the most qualified and brightest talents in order to excel on cutting-edge and non-traditional automotive technologies.
About the Group:
The Cognitive Car Group is developing the "brain" of fully autonomous vehicles through advanced AI capabilities, and leading the development of artificial intelligence (AI) for autonomous driving in GM worldwide.
We are looking for an Artificial Intelligence/Machine learning Engineer software engineer to join our Decision Making team and revolutionize the face of transportation.
What will YOU do?
You will develop a highly capable autonomously driving agent, from inception to a fully working prototype, that is aimed to be productionalized and integrated into GM’s vehicles all over the world.
Write efficient code that can run both on the vehicles and on our severs at scale
Interact with simulations, design experiments and draw conclusions to gain deep understanding of real-world problems and the best possible way to solve them
Research and develop state-of-the-art Machine Learning and planning algorithms for autonomous vehicles.
Keep track of latest state-of the-art Machine Learning research and adopt where relevant
What are we looking for?
MSc/Phd in Computer Science / Electrical Engineering or equivalent.
Strong software engineering skills: minimum 2 years of industry-experience programming in at least one object-oriented language (such as C++/Java/C#) and at least one scripting language (such as Python/Matlab).
Strong theoretical and practical background in Machine Learning / Deep Learning.
Proven ability to perform research and implement methodologies, passion for learning new technologies and excellent problem solving skills.
It’s an advantage if you have:
Experience (academic or industry) in Robotics, Planning, Reinforcement Learning.
Familiarity with deep learning frameworks (Tensorflow, PyTorch, etc.)
Experience in writing industry-level code in production systems.