Sr Technical Program Manager, AWS Generative AI & ML Servers

AWS operates the world's largest fleet of GPU-accelerated servers powering AI/ML workloads at cloud scale. Our team designs, builds, and operates this fleet — solving systemic hardware issues and building systems that detect and prevent recurrence so customers experience the highest quality of service.

We are seeking a Senior Technical Program Manager to drive end-to-end delivery of GPU-accelerated servers across our global fleet. You will coordinate cross-functional engineering teams spanning hardware, firmware, and software, manage ODM partnerships across multiple continents, and establish closed-loop quality systems that drive continuous improvements. This role requires technical depth to translate engineering constraints into program risk, combined with program management excellence to deliver complex hardware at global scale.

What You Will Do

You will own programs where the critical path runs through silicon, firmware, and software teams simultaneously. You will translate ambiguity into structure: turning a fleet telemetry signal into a corrective action plan with quantified failure rates, a customer requirement into a new platform milestone with EVT/DVT/PVT gates, or a manufacturing escape into a design change with updated validation criteria. You will drive decisions on program trade-offs — adjusting scope when qualification gates slip, balancing deployment speed against fleet risk, and determining when to accept interim mitigations instead of holding for root-cause fixes. When a large scale of GPU servers depend on your program landing on time, you are the one ensuring hardware readiness, qualification completeness, and operational handoff happen without gaps.

Why You Will Love It

The world's most advanced frontier models are trained on the platforms you help build. Your programs launch the GPU servers that power the largest AI/ML workloads on the planet. You will see your decisions reflected in fleet reliability metrics within weeks of deployment. The team is small and high-trust — you own programs end to end from concept through production, with direct access to leadership and engineering alike.

The Ideal Candidate

You have deep technical intuition across hardware and software — enough to challenge engineering decisions, not just track them. You thrive in ambiguity, bringing structure to programs where requirements, timelines, and dependencies are still forming. You align priorities across teams in different organizations, and you escalate with data, not noise. You actively mentor and develop others — TPMs and engineers alike. You contribute to hiring, promotion assessments, and raising the bar for program management practices in your organization.

Key job responsibilities

Strategy & Mechanisms

Define program strategy, objectives, and success criteria; influence resource allocation and priority decisions across engineering workstreams to align with organizational goals

Build and own mechanisms for program visibility — defining metrics, dashboards, and review cadences that enable data-driven decisions and early risk detection

Streamline delivery processes across teams; identify and eliminate dependencies, redundant gates, or coordination overhead that slow velocity

Requirements & Planning

Facilitate requirements gathering with internal customers; develop Technical Requirements Documents (TRDs) covering server specs, rack configurations, PCIe topology, power/cooling topology, and SKU definitions

Build program timelines aligned to different phases (Program Initiation, Design, Qualification, Pilot, Post-launch) with critical path analysis, risk identification with new & unique changes to the hardware, and milestone tracking for the program.

Drive Program Initiation reviews: scope definition, preliminary annualized failure rate predictions, resource planning, supply chain long-lead identification, and RFP (Request for Proposal) issuance to ODMs

Execution & Coordination

Drive cross-functional alignment across hardware, firmware (BIOS, BMC, CPLD), software, and operations teams through design reviews, manufacturing readiness and production readiness for fleet deployment.

Manage ODM partnerships: track EVT/DVT/PVT builds, manufacturing readiness gates, Bill of Materials (BOM) management in PLM systems, and quality checkpoints

Identify blockers early, escalate dependencies before they impact critical path, and facilitate technical trade-off decisions across engineering workstreams.

Communicate program status to leadership with clear reporting on milestone progress, risk posture, and mitigation plans.

Risk & Quality

Challenge technical workstreams to surface risks early; quantify impact to schedule and reliability (annualized failure rate targets, availability SLAs) with proposed mitigations

Drive root cause analysis of fleet-wide hardware failures and ensure corrective actions flow back into qualification criteria and design requirements

Define acceptance criteria, coordinate qualification testing at server and rack levels, and manage go/no-go decisions for mission-critical AI/ML workloads

Transition

Conduct knowledge transfer and document lessons learned; ensure operational readiness including automation, monitoring, and runbook completeness for production handoff

May require occasional ( Basic qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent
• 6+ years of technical product or program management experience, working directly with multiple engineering teams.
• 6+ years of experience driving hardware development programs (servers, racks, networking, or storage) through full product lifecycle including design, validation, manufacturing, and fleet deployment
• Experience managing programs across cross-functional teams, building processes, and coordinating release schedules

Preferred qualifications

• Master's degree in Computer Science, Electrical Engineering, or a related field
• 5+ years of experience coordinating complex server programs with ODM/JDM partners across multiple geographies, managing design reviews, manufacturing readiness gates, and quality checkpoints
• 5+ years of experience working with GPU/accelerator server platforms, NPI (New Product Introduction), or hardware qualification programs across various phases (EVT, DVT, PVT)
• Experience driving root cause analysis and corrective action processes for hardware reliability issues at fleet scale
• Knowledge of server hardware development lifecycle: electrical/mechanical design, firmware, thermal/power validation, and manufacturing testing.
• Experience driving zero-touch automation or fleet health programs for large-scale infrastructure
• Experience communicating engineering trade-offs and technical risks in business terms to leadership

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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