Senior Power Systems Architect for AI Compute

Amazon; Austin (TX); On-site; USD 137,000 - 186,000; Full time

Job summary

Annapurna Labs (U.S.) Inc. is seeking a Power Engineer in Austin, TX to architect, design, simulate, and validate power delivery for ML-focused servers.

You will work across hardware, software, and supply chain teams to ensure robust, scalable power solutions for AWS fleet. Responsibilities include leading design validation improvements, automating power workflows, and developing reliability models using telemetry to drive quality across product life cycles.

Qualifications

• 8+ years of hardware-software integration experience in embedded systems or hardware development.
• 2-3 sentences describing ODM management and power domain expertise.
• 5+ years as lead technologist/architect/engineer in power for a major tech product or product line.
• Experience with reliability modeling, FMEA, and performance analysis.

Responsibilities

• Drive design and validation improvements for power in AWS server fleet.
• Identify and drive automation in power design, validation, manufacturing, and field testability.
• Develop reliability models for server power using production telemetry.
• Collaborate with cross-functional teams to improve system power architecture and quality.
• Lead root-cause analysis for critical issues in power delivery.
• Ensure end-to-end system power design reliability and efficiency across life cycle.

Skills

Hardware-Software integration

Power reliability/efficiency

ODM management

Lead technologist/engineer

Reliability modeling

Education

Bachelor's degree in Electrical Engineering or related field

Master's degree (preferred)

Job description

Annapurna Labs (U.S.) Inc. is seeking a Power Engineer in Austin, TX to architect, design, simulate, and validate power delivery for ML-focused servers.

You will work across hardware, software, and supply chain teams to ensure robust, scalable power solutions for AWS fleet. Responsibilities include leading design validation improvements, automating power workflows, and developing reliability models using telemetry to drive quality across product life cycles.