Perception Software Engineer - ML Ops

Forterra is actively looking for an experienced machine learning engineer to join our perception team. In this role, you will contribute to the development of cutting-edge perception solutions for autonomous systems working with heterogeneous sensors to tackle both structured on-road mobility and unstructured off-road mobility. The ideal candidate should possess a robust skill set, particularly in crafting high performance machine learning models and maintaining those models through real-world deployment life cycles. What you'll do Work cross functionally to support the exploration and development of new state-of-the-art perception models Support on-going model lifecycle developments Maintain and improve our existing model training, testing and deployment infrastructure Required Qualifications Strong programming experience in Python Experience developing modern machine learning algorithms for perception tasks Experience with developing and maintaining machine learning models in real world environments Experience with containerization tools Strong experience working on a software development team Ability to write clean, maintainable code and documentation Preferred Qualifications Background in cloud infrastructure and AWS in particular Experience with NVIDIA Jetson family of devices Experience with modern data workflow management frameworks like apache airflow, argo, or metaflow Experience with machine learning frameworks like pytorch Experience in production robotics is a plus Education BS in computer science or a related field, or equivalent amount of relevant industry experience 3+ years of industry experience.

Forterra is a leading provider of autonomous systems for ground-based movement in the working world. Amongst some of the earliest innovators in the field of driverless technology, Forterra is focused on building systems that protect front-line soldiers and enable civilian workers in our industrial base. Forterra is the go-to provider of ground autonomy solutions for the U.S. Department of Defense, which harnesses the technology for asymmetric warfare in critical conditions.