Product Application Engineer

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:

This highly technical role supports large-scale datacenter graphics hardware and software subsystem initiatives for cloud service providers and enterprise customers. You will work across complex virtualization platforms, high-performance networking environments, datacenter infrastructure, AI/Machine Learning pipelines, and system-level program execution to ensure customers can successfully deploy solutions powered by next-generation GPU and CPU accelerators. You will collaborate closely with customer engineering teams on system readiness, large-scale deployment, performance validation, and issue resolution. This position is ideal for someone who enjoys hands-on datacenter networking and virtualization work, solving complex distributed computing challenges, and driving successful customer adoption of cutting-edge accelerator technologies. The environment is fast-paced, highly cross-functional, and deeply technical.

THE PERSON:

You bring deep expertise in datacenter virtualization, distributed systems, and ideally GPU-accelerated compute. You are analytical, detail-oriented, and operate with a strong sense of ownership and urgency. You excel at troubleshooting across hardware, software, virtualization, and networking stacks. You communicate complex concepts with clarity, build strong relationships with customers and stakeholders, and thrive in collaborative engineering environments. You are proactive, adaptable, and driven to deliver high-impact solutions.

KEY RESPONSIBILITIES:

• Design, optimize, and troubleshoot virtualization solutions for high-performance datacenter GPU, CPU, and platform environments.
• Support customers, partners, and internal teams on virtualization topics for AI/ML workloads.
• Work with virtualization technologies across multiple vendors including Kubernetes, VMware, Citrix, KVM, Microsoft Hyper-V, and others.
• Build and configure datacenter networking environments for customer testing, validation, and deployment.
• Qualify and assess new virtualization capabilities to ensure alignment with customer and product requirements.
• Provide mentorship and technical guidance to junior engineering staff.
• Partner with development teams to identify and resolve hardware/software issues from early bring-up through end-of-life.
• Document and escalate technical issues following established procedures.
• Collaborate with program managers to maintain schedules, track action items, and ensure deliverables are met.
• Provide clear project status updates to internal leadership and customer stakeholders.
• Build a deep understanding of customer goals and deliver impactful technical guidance and solutions.
• Translate customer feedback into actionable recommendations for internal engineering teams.
• Travel up to 20% for customer deployments, onsite debugging, technical reviews, and engineering collaborations.

PREFERRED EXPERIENCE:

• Datacenter customer support in virtualization-focused environments.
• Virtual environments: VMware, Citrix, KVM, Microsoft Hyper-V, and virtual machine configuration/management.
• Data storage, protection, deduplication, and storage-related network optimization, especially with Weka, DDN, and VAST products.
• Working in or with deployment services organizations and tools such as Salesforce, JIRA, and Confluence.
• Linux installation, configuration, debugging, and performance tuning.
• Debugging, root-cause analysis, and system-level problem solving.
• Site Reliability Engineering concepts and best practices.
• Server architecture, remote management, network topologies, and compute subsystem operations.
• Datacenter GPU software stacks such as ROCm™ or CUDA.
• High-performance networks for HPC and AI including RDMA/RoCE and InfiniBand.
• AI/ML workloads, frameworks, and models.
• Strong written and verbal communication skills for conveying complex technical concepts.
• Ability to operate independently, manage multiple priorities, and maintain strong organizational discipline.

ACADEMIC CREDENTIALS:

Bachelor’s or Master’s degree in Engineering, Computer Science, or a related field preferred.

CERTIFICATIONS:

Certifications preferred, including those related to Kubernetes, VMware, Citrix, Red Hat, KVM, Hyper-V, and other Networking, Virtualization, or Data Storage domains.

LOCATION:

Primary locations include Austin, TX, Santa Clara, CA, or Remote.

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#REMOTE

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.