Data Infrastructure Engineer

As an expert in building large-scale data processing systems, you will build the foundation of how our data flows from acquisition to being used to improve the autonomous capabilities of our robots. You will design, build, and maintain large-scale data processing systems, collaborate with other functions (e.g. ML, Platform, etc.), and independently triage and solve complex infrastructure problems across our stack.

Strong coding ability with exceptional familiarity with Python, Go, and/or C++. Strong experience building and maintaining production systems that process PBs of data on thousands of machines. Experience with cloud networking (performance, reliability, scale, and security). Experience serving ML models at scale is a plus, but not required. Strong knowledge in Kubernetes clusters is a plus.