Design and implement high-performance backend systems for train control applications. Collaborate on software optimization and ensure compliance with security standards.

Lead design and development of scalable ML infrastructure for autonomous vehicles. Collaborate with ML teams for efficient model training and deployment. Manage end-to-end ML pipelines and cloud-based solutions.

Design and deploy deep learning models for autonomous rail vehicles, focusing on machine learning and computer vision challenges. Collaborate with cross-functional teams to integrate ML into real-world applications.

The Senior Controls Engineer designs and develops control algorithms for embedded systems, ensuring high performance, safety, and reliability in rail vehicle control software.

Design and develop embedded systems for autonomous rail vehicles, collaborating with hardware engineers and implementing real-time software solutions.

Design, develop, and maintain testing frameworks and CI for autonomous rail vehicles; mentor engineers and lead testing strategies.

Lead the design and development of high-performance backend systems for autonomous rail vehicles, optimizing for safety and scalability while mentoring engineers and collaborating across teams.