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 Algorithm Engineer.

In this role, you will work in the advanced-features R&D team developing a (complex) interface between external navigation APIs and deep learning based driving policy models.

Responsibilities:

• Develop and implement algorithms for path planning and navigation in autonomous vehicles.
• Extract and process driving directions from external APIs (e.g., Google Maps) and convert them into precise local waypoints.
• Collaborate with the computer vision and deep learning teams to integrate navigation data with real-time sensory inputs.
• Contribute to the development of robust navigation systems that can handle a variety of environmental conditions and scenarios.
• Continuously test and refine navigation algorithms based on real-world data and simulations.
• Stay abreast of the latest developments in robot navigation, mapping, and autonomous driving technologies.
  
  

Requirements:

• MSc in relevant disciplines (e.g., EE/CS/Applied Math/Physics/Bio Engineering/Computational Biology/etc.)
• Strong background in robot navigation, including experience with path planning and localization.
• Proficient in programming languages such as Python, C++, or similar.
• Experience with computer vision and deep learning frameworks.
• Familiarity with navigation and mapping APIs (e.g., Google Maps API).
• Strong analytical and problem-solving skills.
• Excellent collaboration and communication abilities.