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 Simulation Engineer.

In this role, you will work in the advanced-features R&D team being responsible for the simulation environment used for training and evaluating deep learning based driving policy models

Responsibilities:

• Ensure the simulation environment accurately emulates real-world driving scenarios, including various traffic conditions, weather patterns, and road types.
• Be in contact with external vendors of simulation software and evaluate said software.
• Collaborate with data scientists and machine learning engineers to integrate deep learning models with the simulation environment.
• Facilitate the training and evaluation of these models within the simulation, ensuring robust and efficient performance.
• Manage large datasets used for training and validating deep learning based models.
• Analyze simulation results to identify model performance issues and areas for improvement.
• Develop and implement rigorous testing protocols to validate the safety and reliability of driving policies under various conditions.
• Optimize the simulation environment for speed and efficiency, enabling faster iteration cycles for model training and evaluation.
• Work closely with cross-functional teams, including software engineers, data scientists, and product managers.
• Stay informed about the latest advancements in simulation technology, autonomous driving, and machine learning.
  
  

Requirements:

• BSc in relevant disciplines (e.g., EE/CS/Applied Math/Physics/Bio Engineering/Computational Biology/etc.)
• 3+ years of experience.
• Proficiency in programming languages such as Python, C++, or Java.
• Experience with real-time systems and ROS.
• Experience with simulation software (e.g., Gazebo, CARLA, SUMO, Unity, Unreal Engine).
• Knowledge of autonomous vehicle technology and related sensors (LIDAR, RADAR, cameras).
• Understanding of vehicle dynamics and control systems.
• Ability to process and analyze large datasets.
• Strong analytical and problem-solving skills, with the ability to handle complex challenges.
• Excellent communication skills, both verbal and written.
• Ability to work effectively in a team environment and collaborate with various departments.
• Experience with cloud computing platforms (AWS, Azure, GCP) for simulation scalability - Advantage
• Contributions to open-source simulation projects or relevant publications in the field - Advantage
• Prior experience in the automotive industry, especially in ADAS (Advanced Driver-Assistance Systems) and autonomous driving - Advantage
• Experience in deep policy learning - Advantage