Amazon
AI Hardware Systems Engineer, Annapurna Labs, Trainium Machine Learning Fleet Operations
$136K–$184K
Austin, TX · Full-time · Posted Sep 9, 2026
- Experience
- 2+ years of non-internship professional software development; 1+ years of systems design or architecture; 1+ years of specified administrative and hands-on systems engineering experience. Preferred: 4+ years of hardware design and validation.
- Education
- Bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering; preferred: master's degree in one of these fields.
About the job
Own and improve machine-learning server fleet health by debugging hardware and software issues, analyzing fleet data, and building testing and automation systems.
What you'll do
- Root-cause hardware failures and identify fleet trends using data.
- Develop and improve system-level testing, automation, tooling, and data infrastructure.
- Debug hardware/software issues, manage deployments, and coordinate platform remediation.
What they ask for
- 2+ years of non-internship professional software development experience.
- 1+ years of systems design or architecture experience, and 1+ years of administrative experience in networking, storage systems, operating systems, and hands-on systems engineering.
- Knowledge of systems engineering fundamentals; programming experience in at least one modern language; Linux/Unix experience; and debugging and systems analysis experience.
- Bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering.
Nice to have
- 4+ years of hardware design and validation experience.
- Experience with post-silicon validation; master's degree in Computer Science, Computer Engineering, or Electrical Engineering.
Pay
136,000.00 - 184,000.00 USD annually (base salary)
Tools
Python, Bash, C++, C#, Java, Golang, PowerShell, Ruby
AI focus
Operates and improves machine-learning accelerator and server fleets, including hardware debugging, validation, monitoring, and remediation.
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