Data Infrastructure Engineer (ML Infra)

About the role

We are looking for a Data Infrastructure Engineer to build the foundation of data flows that power the autonomous capabilities of our home robots. You will work on large-scale data processing systems in a fast-moving, high-intensity environment.

Key responsibilities

• Design, build, and maintain large-scale data processing pipelines that handle petabytes of data across thousands of machines.
• Collaborate with Machine Learning, Platform, and other engineering teams to ensure data availability and reliability.
• Independently triage and resolve complex infrastructure issues across the stack.
• Contribute to cloud networking performance, reliability, scale, and security.

Required profile

• Strong coding ability with deep experience in Python, Go, and/or C++.
• Proven track record building production systems that process PB-scale data.
• Experience with cloud networking and large-scale distributed environments.
• Ability to move quickly, handle ambiguity, and thrive in demanding settings.

Required skills

• Python
• Go
• C++
• Kubernetes
• Cloud networking
• Large-scale data processing
• Production system operations

What we offer

• Work with a small, elite team of engineers from leading tech companies.
• High degree of ownership, rapid decision-making, and minimal bureaucracy.
• Opportunities to solve challenging problems at all levels of the stack.