Customer Quality Engineer, Cloud AI Infrastructure

What you'll do

• Track customer hardware observations and help prioritize investigation and resolution.
• Collaborate with engineering, product, quality, and SRE teams to diagnose issues and improve product quality.
• Work directly with customers to understand hardware quality and manage changes that may improve deployed hardware.

What they ask for

• Bachelor's degree in Computer Science, Management Information Systems, or another technical field, or equivalent practical experience.
• 4 years of manufacturing or validation experience with CPU, dGPU, or TPU.
• 3 years of experience with quality and reliability of technical infrastructure.
• Experience with semiconductor and production manufacturing flows, test screens, ATE and DFT tests, and transistor parametrics; troubleshooting and advocating for customer needs; and System Architecture (CPU, TPU, I/O interfaces, or memory).

Nice to have

• Experience with distributed systems and AI/ML computing hardware, including GPUs or other accelerators.
• Familiarity with Kubernetes or Slurm; systems automation, design, and debug; working with vendors or customers; or transistor fabrication and ASIC assembly processes.

Pay

$159000 - $230000 (USD) base salary; 15% bonus target

Tools

CPU, dGPU, TPU, ATE, DFT, Kubernetes, Slurm, GPUs

AI focus

Supports AI/ML infrastructure hardware quality and investigates issues involving AI/ML computing hardware.