Develop and optimize embedded software for robotics, focusing on computer vision systems. Collaborate across teams and implement best practices for performance and reliability.

As a Principal Site Reliability Engineer, you will design hybrid infrastructure, integrate edge devices and cloud resources, optimize performance and costs, and collaborate with cross-functional teams to ensure robust systems.

Lead the design and development of ML models for autonomous agricultural robots, overseeing the full ML lifecycle and collaborating with cross-functional teams.

Develop ML models and pipelines for autonomous tractor initiative, improving system safety and performance in production environments.