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.
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
