Full-time (40 hours, 5 days) Research Scientists – Motion Planning and Prediction are needed in Brookshire, TX office to

• Design and implement algorithms that can comprehend road structures and elements, vehicles and other objects as scenarios.

• Participate in cutting-edge research in machine learning to build the prediction and decision-making module for autonomous vehicles.

• Coordinate decision-making, control dynamics and trajectory generation algorithms to produce optimal trajectory that minimizes risk.

• Integrate decision-making with various factors including perception, prediction, HD map, localization and control systems within a complex automation architecture.

• Build infrastructures that can easily and precisely reproduce every case found in testing and simulation.

• Conduct research on the latest technology advancements in artificial intelligence and adapt to autonomous driving systems.

Position requires Master’s degree in Computer Science, or a closely related field; with minimum 5 years of motion planning and prediction experience in the autonomous vehicle industry to include the following: conduct machine learning research on prediction and interactive behavioral planning in autonomous driving; design and optimize algorithms for motion planning and prediction module; integrate decision-making with various factors within automation architecture; establish motion planning and prediction related standards for HD map; with demonstrated knowledge in algorithms, data structures, complexity, machine learning, deep learning, C/C++, Python.

Send resumes to COS, Attn: Qian Chu, BOT AUTO TX INC, 2800 Twinwood PKWY, BLDG 22, Brookshire, TX 77423, or email to recruiting@bot.auto. Mention job code 1003 in the cover letter.