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.
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.
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.
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.
Experience working with ROS, GitHub, and Dockers in Linux environment.
Strong analytical and problem-solving skills, with the ability to handle complex challenges.
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 – Advantage.
