Torc is seeking an Engineering Manager, ML Learned Behaviors to lead the Prediction and Planning Team, focusing on developing software for automated trucks to transform freight transportation using AI and deep learning techniques.
Requirements
- Scientific understanding of robotics learned behaviors
- Experience with learning from or validating in simulated environments
- Mastery of Python and Pytorch, with the ability to transition research level code to production and deployment ready standards
- Experience with relevant NVIDIA libraries and frameworks, such as CUBLAS, CuDNN, and NPP
- Experience with Ray
Responsibilities
- Taking the charge on the delivery of learned behavior algorithms.
- Responsible for understanding the software or system technical domain of their assigned team.
- Collaborates with other management and teams as needed to meet goals, monitor team performance, and achieve objectives.
- Representing your team outside of your group and make sure that your team delivers the behavior models that steer our truck!
- Operating at the intersection of engineering and project management exposes you to every detail that your team works on the one hand, and to the broader mission of our division, providing all components for our autonomous truck, on the other hand.
Other
- Accountable and responsible for career development and coaching of the team.
- Accountable and responsible for performance management of their team.
- Accountable and responsible for ensuring continuous performance feedback is delivered and compensation analysis in close collaboration with peer managers and People Operations.
- Responsive to others and able to effectively collaborate to meet established standards, compliance requirements, implementation, and service delivery schedules.
- Demonstrated functional knowledge of business area and demonstrates results of ongoing learning and professional development. Ability to effectively manage people and identify opportunities to develop staff experience and expertise.
