Cloud Infrastructure Engineer

About the role

MicroAGI is building the data layer for physical AI by capturing petabytes of multimodal data from the physical world. As a Cloud Infrastructure Engineer, you will design and operate the infrastructure required to ingest, process, store, and serve this data at scale. You will work closely with ML and device teams to optimize pipelines and ensure the platform remains efficient and reliable as data volumes grow.

Responsibilities

• Design and operate data infrastructure at petabyte scale including ingestion, processing, storage, and serving.
• Build pipelines to transform raw capture data into training-ready datasets.
• Optimize the platform for speed, cost, and reliability as data scales from 3 PB to 30 PB and beyond.
• Collaborate with ML and device teams to eliminate bottlenecks between data capture and model training.
• Utilize AI coding tools as a core component of your daily workflow.

Required skills

• Large-scale data processing
• Distributed systems
• Object storage
• Streaming
• Columnar formats
• Orchestration
• Cloud infrastructure

Qualifications

• Production experience with large-scale data processing in the TB to PB range

About the Company

MicroAGI is building the data layer for physical AI, focusing on capturing petabytes of multimodal data from the physical world to power the next generation of AI applications.