Who we are:

Autobrains is a fast-growing start-up with a groundbreaking approach to unsupervised learning and signature-based data representation that is set to disrupt the next generation of vehicles and mobility.

At Autobrains, you will face never-ending intellectual challenges as we redefine AI for scalable autonomous platforms and products, with the goal to forever change driving and make the roads a safer place for all. You will work with bright and talented people, in an environment where professional and personal development are a top priority.

Autobrains is backed by top investors and key players in the automotive industry such as Temasek, Toyota, BMW, Continental, Vinfast, and Knorr-Bremse, with headquarters at the heart of Tel Aviv.

What you will do:

Autobrains’ L4 R&D group is growing and looking for an experienced Data Engineer.

In this role, you will work in the advanced-features R&D team being responsible for the data management crucial to training deep learning-based driving policy models.RESPONSIBILITIES:

Design and implement systems to ingest, store, and manage large volumes of data from vehicles, including sensor data like cameras and GPS.

Responsibilities

• Ensure the integrity and quality of data through robust validation and cleansing processes.
• Develop and maintain scalable data pipelines for real-time and batch processing.
• Optimize data processing workflows for performance and cost efficiency.
• Facilitate data analysis by providing clear and accessible data to data scientists and analysts.
• Develop tools and dashboards for monitoring and reporting on data and system performance.
• Collaborate with data scientists to prepare datasets for training machine learning models.
• Implement and maintain systems for deploying and monitoring machine learning models in a production environment.
• Work closely with software engineers, data scientists, and other stakeholders to understand data needs and deliver solutions.
• Provide technical support and expertise in resolving data-related issues.

Requirements

• BSc in a relevant discipline (e.g., EE/CS/Applied Math/Physics/Bio Engineering/Computational Biology/etc.)
• Proficiency in Python and bash.
• Knowledge of cloud computing services (e.g., AWS, Azure, Google Cloud).
• Experience with FTP servers.
• Experience in building and optimizing data pipelines, architectures, and data sets.
• Familiarity with data pipeline and workflow management tools (e.g., Apache Airflow).
• Understanding of basic machine learning concepts and algorithms.
• Strong analytical and problem-solving skills.
• Effective communication skills for collaborating with cross-functional teams.
• Ability to work in a fast-paced and dynamic environment.
• Experience with big data technologies (e.g., Hadoop, Spark) - Advantage
• Familiarity with database management systems such as SQL - Advantage
• Understanding of the autonomous vehicle industry and related technologies - Advantage
• Experience with MLOps - Advantage