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AMD

Technical Program Manager - Server Customer Engineering, Enterprise AI Product Line

Austin, TX, US Mid Posted June 10, 2026

Role Description

Overview: WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. Responsibilities: THE ROLE: We are seeking an experienced Technical Program Manager – Server Customer Engineering (Enterprise AI Product Line) to join the Server Platform Solutions Engineering / Server Customer Engineering PMO to lead end-to-end delivery, focused on the Enterprise AI product line. You will manage programs from development through End‑of‑Life, coordinating cross‑functional teams across hardware, firmware, software, validation, and partners to deliver production‑ready AI solutions at scale. THE PERSON: You will be the primary AMD contact for Enterprise AI programs supporting enterprise customers—ensuring alignment between customer goals and AMD roadmaps, driving release readiness, and protecting production stability for critical datacenter deployments. KEY RESPONSIBILITIES:Customer Ownership* Serve as primary support contact for Enterprise AI programs supporting Enterprise customers (development and sustaining); build and maintain sponsor and program lead relationships. * Understand customer business goals and AI workload requirements; align customer needs with AMD priorities. * Advocate for customer satisfaction; manage requirements, critical issues, and escalations.

Program & Project Management* Own end‑to‑end program delivery: define schedules, milestones, success criteria, resources, and deliverables. * Coordinate cross‑functional teams (engineering, firmware, validation, QA, product, field ops, partners/OEMs) to drive decisions and resolve blockers. * Identify risks and technology dependencies; create mitigation and contingency plans and proactively escalate when needed. * Drive release readiness: validation plans, customer previews, deployment playbooks, and handoffs to field engineering/customer success. * Produce concise executive updates, program briefs, and status reports.

Process & Continuous Improvement* Implement scalable program processes, tooling, and lessons learned to improve delivery speed and quality. * Contribute to executive briefs and participate in customer engagements and technical enablement.

PREFERRED EXPERIENCE:* Extensive Technical Program or Product Management experience leading complex, cross‑functional technical programs; experience with server platforms, firmware, validation, or enterprise software. * Strong technical fluency in server systems (hardware, BIOS/firmware/microcode, validation/test processes) and understanding of AI workload characteristics. * Proven ability to manage schedules, risk, requirement tracking, escalations, and stakeholder communications. * Excellent written and verbal communication; comfortable presenting to senior leadership and customers. * Demonstrated customer focus and ability to drive decisions in ambiguous, fast‑moving environments. * Proficiency with program tools (JIRA, MS Project, Teams, Power BI); familiarity with Python a plus. * Professional experience in semiconductor/server architecture, datacenter/server development lifecycle, or related engineering roles (validation, BIOS, hardware design, cloud SW). * Track record of managing cross‑regional teams and delivering quality products at scale. * Strong analytical, organizational, and interpersonal skills; ability to build consensus across technical and non‑technical stakeholders.

ACADEMIC CREDENTIALS: Bachelor’s degree in engineering, computer science, or equivalent; advanced degree preferred. Location: Austin, TX Santa Clara, CA This role is not eligible for visa sponsorship.

#LI-LM1 #LI-HYBRID Qualifications: *Benefits offered are described:* AMD benefits at a glance. *AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.* *AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available* *here.* *This posting is for an existing vacancy.*

About Forward Deployed Engineering

Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.

Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.

Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.

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