Engineering Manager, Machine Learning
RunwayFull Time
Junior (1 to 2 years), Senior (5 to 8 years)
A Master's degree in computer science, data science, artificial intelligence, or a related field with 6+ years of professional experience, or a PhD degree with 4+ years of experience is required. Candidates must possess a scientific understanding of robotics learned behaviors, experience with learning from or validating in simulated environments, and mastery of Python and PyTorch. Project management experience in autonomous driving projects and at least 2 years of people leadership experience are also necessary. Experience with relevant NVIDIA libraries and frameworks is a plus.
The Engineering Manager, ML Learned Behaviors will lead the Prediction and Planning Team, focusing on the delivery of learned behavior algorithms. This role involves providing an environment for team success, fostering cutting-edge technology development, and supporting individual and team growth. Responsibilities include people leadership, project management, representing the team externally, and ensuring the delivery of behavior models that steer the truck. The manager will collaborate with other teams, monitor performance, understand the technical domain, and be accountable for career development, coaching, and performance management, including compensation analysis. They will also provide continuous performance feedback and ensure adherence to standards, compliance, and delivery schedules.
Develops autonomous driving technology for trucks
Torc Robotics develops software systems for self-driving trucks, focusing on Level 4 autonomous driving technology that allows trucks to operate without human intervention in specific conditions. Their technology enhances road safety and meets the logistics industry's growing demands. Torc Robotics partners with major truck manufacturers, like Daimler Trucks, and collaborates with companies such as Luminar Technologies to integrate advanced sensors into their systems. They generate revenue by selling their software to fleet operators and truck manufacturers, while also providing ongoing support and updates. The company's goal is to improve efficiency and safety in freight transportation through their autonomous solutions.