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AI Hardware Systems Engineer, Annapurna Labs, Trainium Machine Learning Fleet Operations

Austin, Texas, United States💼 Full-time💰 $136,000–$184,000🗓 2026-09-09 → 2026-09-25

Core

Debug emergent problems in GPU and server hardware, run large-scale experiments, and develop automation software to scale ML fleet operations.

Role type

Senior IC systems engineer (ML fleet operations)

Builds

Autonomous software for monitoring, optimizing, and remediating machine learning hardware fleets

Domain

Cloud infrastructure / Machine Learning hardware / Systems engineering

Deliverable

production ML models | infrastructure

Required skills

Python, Bash, C++, Linux/Unix, systems engineering fundamentals, debugging, data analysis, automation development

Preferred skills

Hardware design and validation, post-silicon validation

Technologies

Python, Bash, Linux, C++, Golang

Responsibilities

Review dashboards to identify trends and triage emergent issues, partner with teams to debug hardware/software issues, implement system-level testing, develop maintainable and reusable software, direct new automations and data infrastructure

Seniority

Senior, hands-on IC

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