Amazon
AI Hardware Systems Manager, Annapurna Labs, Trainium Machine Learning Fleet Operations
$175K–$237K
Austin, TX · Manager · Full-time · Posted Jun 15, 2026
- Experience
- 7+ years in systems engineering, platform engineering, SRE, or hardware operations; 2+ years of engineering team management experience.
- Education
- Bachelor's degree in computer science, electrical engineering, or related field
About the job
Leads a team responsible for operating, automating, and improving the health of large-scale machine learning accelerator fleets across multiple server platforms.
What you'll do
- Hire, mentor, and lead platform development engineers; set team roadmap and technical strategy.
- Drive fleet reliability through metrics, automation, incident response, and cross-functional hardware debugging.
- Represent fleet operations in executive reviews and advocate for fleet-wide improvements.
What they ask for
- Bachelor's degree in computer science, electrical engineering, or a related field
- 2+ years of engineering team management experience
- Knowledge of and proficiency in Python scripting
- Experience troubleshooting hardware and designing, building, operating, and managing large-scale distributed systems or web services
Nice to have
- Experience with large-scale infrastructure automation and server technologies
- Experience with GPU, ML accelerator, or high-performance computing hardware
Pay
175,100.00 - 236,900.00 USD annually (base salary)
Tools
Python
AI focus
Operations and automation for machine learning accelerator hardware fleets.
Model-written summary · the original posting is authoritative