Senior Software Engineer, ML Infrastructure

Tech Stack

Responsibilities

• Scale automated infrastructure-as-code (IaC) pipelines to manage thousands of GPU/CPU nodes across diverse environments.
• Design and optimize workload orchestration to maximize hardware utilization, minimize job wait times, and handle massive-scale distributed training.
• Design robust pipelines for the extraction and transformation of petabyte-scale sensor and telemetry data into ML-ready formats.
• Implement robust feature caching and storage solutions to reduce redundant computations and ensure low-latency access to pre-computed features.
• Contribute to a unified ML platform that abstracts complex cloud infrastructure for end-users.

Soft Skills

Benefits

• Equity
• Mental Health

Culture

Requirements