You will be part of Mobileye's REM (Road Experience Management) department which is responsible for the automatic High Definition map-making process, a key technology in Mobileye's autonomous driving and high-end Driving Assistance systems. This process involves running advanced algorithmic code in a massively parallel way, utilizing Big Data technologies, and as such is a complex system that requires a deep understanding of our map creation process as well as advanced technical abilities.
For further details checkout CES22 REM overview by Prof. Amnon Shashua.Our team is at the forefront of the map creation process in the server. Our responsibilities include drive matching to SD map and drives selection. We use various algorithms like Viterbi, signal clustering and Graph Neural Network. Our development work is primarily done in , and we efficiently parallelize our algorithms across multiple processors to optimize performance and scalability.
What will your job look like:
- Collaborate with data scientists to research, develop, and deploy machine learning models at a large scale
- Leverage Mobileye's data sources and cloud computing to build an infrastructure that processes large amount of data to improve our machine learning models
- Perform software research, development, evaluation, and optimization
All you need is:
- B.Sc. in Computer Science / Engineering
- Experience with training models in Py Torch
- Experience with Docker containers
- Experience with Data Engineering, Big Data Pipelines
- Experience with CI/CD pipelines
- Experience with working in the Cloud (AWS/GCP) - Advantage