Gatik, the leader in autonomous middle mile logistics, delivers goods safely and efficiently using its fleet of light & medium-duty trucks. The company focuses on short-haul, B2B logistics for Fortune 500 customers including Kroger, Walmart, Tyson Foods, Loblaw, Pitney Bowes, Georgia-Pacific, and KBX; enabling them to optimize their hub-and-spoke supply chain operations, enhance service levels and product flow across multiple locations while reducing labor costs and meeting an unprecedented expectation for faster deliveries. Gatik’s Class 3-7 autonomous box trucks are commercially deployed in multiple markets including Texas, Arkansas, and Ontario, Canada.

What you’ll do

• Develop key modules of the behavior prediction system, focusing on accurately predicting the movements and actions of surrounding objects to enhance the decision-making capabilities of our autonomous vehicles.
• Create and maintain robust software infrastructure that enables the use of large-scale image and LiDAR data for learning algorithms, ensuring seamless integration and high performance.
• Design and write highly optimized pipelines for data pre-processing, model training, data post-processing, and inference, ensuring efficiency and scalability.
• Train advanced behavior prediction models, including LSTM, Transformer, and other relevant machine learning models. Evaluate their performance rigorously, identify and fix performance bottlenecks to achieve state-of-the-art results.
• Create scalable training and evaluation tools and infrastructure to support continuous improvement and rapid iteration of behavior prediction models.
• Work closely with other engineers to integrate behavior prediction systems into the broader autonomous driving stack and conduct comprehensive system tests to ensure reliability and safety.

What we’re looking for