Lead Engineer for Manufacturing and Datacenter Lab, Trainium Manufacturing, Quality and Reliability

What you'll do

• Own operational production performance across manufacturing, datacenter deployment, and fleet operations; build a lab that replicates datacenter conditions and validates assembly, repair, and test flows.
• Use field failure analysis and manufacturing data to drive root-cause investigations, process improvements, and hardware design changes.
• Build and mentor a cross-functional team and collaborate with manufacturing partners and datacenter operations.

What they ask for

• BS or MS degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Industrial Engineering, or a related technical field.
• 8+ years of industry experience in Manufacturing Engineering, Test Engineering, Quality Engineering, Reliability Engineering, or Datacenter Infrastructure Engineering; 7+ years working directly with engineering teams in cross-functional environments.
• Experience carrying design concepts through development into deployment or mass production, and experience with AI/ML acceleration systems, high-performance computing servers, or complex multi-rack systems.
• Experience with mechanical and thermal design for air- and liquid-cooled systems; root-cause analysis; data analysis and programming with Python, Bash, Shell script, or Linux; and DFM.

Nice to have

• Experience managing datacenter operations, advanced high-volume manufacturing, or datacenter build-outs and scaling.
• Master’s degree in a related technical field; hands-on enterprise, sled-level, or rack-level hardware design; or experience with liquid cooling and thermal management for AI/ML workloads.

Pay

159,200.00 - 215,300.00 USD annually (base salary)

Tools

Python, Bash, Shell script, Linux, ML

AI focus

Use ML techniques to predict field failures by connecting manufacturing test data with datacenter performance.