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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.
THE ROLE:
At AMD, we push the boundaries of innovation to solve the world’s most important challenges.As the Director of Cloud, HPC & Sovereign AI Customer Engineering within the Compute & Enterprise AI SolutionsCustomer Engineeringorganization, you will lead the team responsible for enabling successful deployment, adoption, and lifecycle support of AMD compute and AI solutions across Cloud, HPC, and Sovereign AI customers.
This highly visible leadership role oversees a team of Customer Program Managers (CPMs) responsible for guiding customers through new product introductions, deployment readiness, production ramp, and long-term fleet sustainment. Working closely with customers, Customer Platform Engineering, Product Management, Engineeringand Architectureyou will drive successful customer outcomes across the full lifecycle of AMD compute and AI platforms.
THE PERSON:
The ideal candidate is a strong technical and organizational leader with experience supporting large-scale cloud, AI, HPC, or datacenter deployments. You have a proven track record of leading customer-facing technical teams, managing complex customer engagements, and driving successful deployment and sustainment of infrastructure at scale.
You are equally comfortable engaging with customer executives, architects, operations teams, and engineering organizations while driving alignment across AMD. You possess strong technical credibility, customer advocacy skills, and the ability to lead through influence in complex environments.
KEY RESPONSIBILITIES:
Lead and scale the Cloud, HPC & Sovereign AI Customer Engineering organization supporting strategic customer deployments and lifecycle management.
Lead a team of Customer Program Managers responsible for customer engagement, deployment readiness, new product introduction (NPI) execution, production ramp, and fleet sustainment activities.
Drive successful deployment, adoption, and operational readiness of AMD compute and AI solutions across Cloud, HPC, and Sovereign AI customers.
Serve as the executive escalation point for strategic customer issues and drive resolution of complex deployment, platform, performance, and operational challenges.
Partner closely with Customer Platform Engineering teams, including PAE, BAE, Security Engineering, and Debug Engineering, to ensure successful customer outcomes.
Develop deployment methodologies, operational best practices, and customer engagement frameworks that accelerate customer time-to-production.
Drive fleet sustainment strategies including observability, telemetry, remote diagnostics, lifecycle management, and operational readiness.
Partner with customers, and AMD engineering teams to support successful platform deployment and long-term fleet success.
Act as the voice of the customer, ensuring customer deployment experiences and operational insights influence future products, platforms, and solutions.
Mentor and develop CPM leaders while building a high-performance, customer-focused culture.
PREFERRED EXPERIENCE:
Experience leading customer-facing engineering, technical program management, cloud infrastructure, AI infrastructure, HPC, datacenter operations, or related technical organizations.
Experience leading technical teams responsible for customer deployments, operational readiness, and lifecycle support of complex infrastructure platforms.
Experience supporting large-scale cloud, AI, HPC, or enterprise infrastructure deployments from new product introduction through fleet sustainment.
Strong understanding of datacenter infrastructure, compute platforms, AI systems, observability, telemetry, and operational readiness.
Experience managing customer escalations and driving resolution of complex technical and operational issues.
Experience working with hyperscalers, cloud providers, HPC customers, sovereign AI customers.
Proven ability to drive alignment across engineering, product, operations, and customer-facing organizations.
Strong communication and executive engagement skills.
ACADEMIC CREDENTIALS:
Bachelor’s or Master’s degree in Engineering, Computer Science, or a related technical field.
LOCATION:
Santa Clara, CA or Austin, TX
This role is not eligible for visa sponsorship.
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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.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies or fee based recruitment services. AMD and its subsidiaries are equal opportunity employers. We consider candidates regardless of 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.
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