Machine Learning Engineer, Motion Planning, Self-Driving

Tesla - Palo Alto, CA

Full-time - Mid Level

Palo Alto, CA

Transportation Equipment Manufacturing

About the position

The Machine Learning Engineer for Motion Planning at Tesla Motors, Inc. is responsible for developing and implementing advanced algorithms that enable self-driving vehicles to navigate complex environments. This role focuses on enhancing the motion planning capabilities of Tesla's autonomous driving systems, ensuring safety and efficiency in real-time decision-making processes.

Responsibilities

• Develop and implement motion planning algorithms for self-driving vehicles.
• Collaborate with cross-functional teams to integrate motion planning with perception and control systems.
• Conduct experiments and simulations to validate and improve motion planning strategies.
• Analyze and optimize the performance of existing algorithms in real-world scenarios.
• Stay updated with the latest advancements in machine learning and robotics to enhance motion planning techniques.

Requirements

• Bachelor's or Master's degree in Computer Science, Robotics, or a related field.
• Strong programming skills in Python and C++.
• Experience with machine learning frameworks such as TensorFlow or PyTorch.
• Solid understanding of algorithms and data structures, particularly in the context of robotics and motion planning.
• Familiarity with autonomous vehicle systems and their challenges.

Nice-to-haves

• Experience with reinforcement learning techniques.
• Knowledge of computer vision and sensor fusion.
• Familiarity with ROS (Robot Operating System).
• Experience in simulation environments for autonomous systems.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health insurance plans.
• 401(k) retirement savings plan with company matching.
• Paid time off and holidays.
• Opportunities for professional development and career growth.