System Engineer, AI Accelerator Module Management

What you'll do

• Specify, develop, and integrate device management for custom AI hardware, including ASIC management and debug functionality.
• Develop and maintain code to collect, analyze, and interpret accelerator fleet statistics; create reliability and visibility improvements.
• Collaborate with cross-functional teams to design management for custom silicon and ensure integration with data centers and fleet systems.

What they ask for

• Bachelor’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
• 8+ years implementing management solutions for computer server systems; alternatively, the posting also lists 10+ years implementing device management for computer server systems.
• 4+ years designing or specifying custom silicon management; the posting also asks for 6+ years in device management for high-performance custom silicon.
• Proficiency in C++ and/or Python, or equivalent.

Nice to have

• Experience with datacenter-level management tooling and AI/HPC hardware and software development.
• Experience in system performance analysis, debugging, optimization, and troubleshooting across software, firmware, hardware, and networks.

Pay

$173,000/year to $245,000/year (base salary)

Tools

C++, Python

AI focus

Develops hardware and device-management systems for custom AI accelerators and AI/HPC fleets, including ASIC management, debug, reliability, and fleet visibility.