AI Customer Engineering Customer Co‑Validation Lead

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.

The Role

AMD is seeking a highly skilled Customer Co-Validation Lead to drive customer-facing validation strategy, strengthen customer intimacy, and co-develop end-to-end system validation alongside our top hyperscale, enterprise, and MDC partners. This role directly influences how AMD Instinct GPU platforms are validated, integrated, and deployed in real customer environments. You will own co-validation engagements, oversee system-level debug and readiness assessment, and drive bi-directional value across AMD and customer engineering organizations.

The Person

The ideal candidate blends deep technical expertise, strong customer engagement skills, and leadership presence. You thrive in ambiguous multi-stakeholder environments, can translate customer operations into AMD engineering requirements, and serve as both a trusted customer advisor and an internal advocate.

Key Responsibilities

• Lead customer co-validation strategy and engagements involving AI performance and GPU software stack issues, and develop joint validation plans

• Own the technical relationship for system-level co-validation with strategic customers

• Drive execution of co-validation cycles across single-node, multi-node, rack-scale, and cluster systems

• Ensure AMD and customer test coverage is complementary, efficient, and aligned to shared deployment goals

• Lead cross-domain debug spanning GPU, CPU, NIC, BMC/AMC, firmware, ROCm, OS, virtualization, orchestration, libraries, drivers, and customer automation frameworks

• Reproduce, root-cause, and validate issues found during co-validation, guiding engineering teams toward fixes

• Translate co-validation learnings into improvements for AMD tools, the System Validation Manual, test content, and platform collateral

• Provide structured customer-facing readiness signals and guidance to support deployment decisions

• Generate co-validation artifacts: test reports, risk assessments, gap analysis, and proposed enhancements

• Work closely with cross-functional engineering teams to ensure coherence between AMD deliverables and customer needs

• Provide guidance to junior engineers engaged in customer validation, and represent AMD professionally in high-pressure customer scenarios

• Use AI tools to improve productivity in day-to-day tasks such as data analysis, test automation, and documentation

Preferred Experience

• Deep experience with Linux, OS/kernel/driver stacks, ROCm or CUDA-like environments, and GPU/CPU/NIC integration

• Strong background in multi-node / rack-scale validation, orchestration, virtualization (KVM, VMware, Hyper-V), and manageability (Redfish/BMC/AMC)

• Skilled in system-level debug across firmware, software, hardware, and automation layers

• Expertise in test plan architecture, debug methodologies, and multi-domain system validation

• Comfortable leading technical discussions with senior customer engineers and decision-makers

• Proficiency with Python or similar scripting for automation

• Exceptional communication skills, both technical and customer-facing

• Experience with customer co-validation, data center cluster deployment, or AI performance tuning is a strong plus

• Familiarity with AI concepts, frameworks, or applications

Academic Credentials

• Bachelor's or Master's in Computer Engineering, Computer Science, Electronics, Electrical Engineering, or a similar discipline

• 10+ years of relevant experience in system validation, customer engineering, platform bring-up, or datacenter clusters/solution enablement roles