Description
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
We are looking for an ambitious, driven AI & Datacenter Solutions Architect with strong technical fundamentals and a proven customer-facing track record to join AMD. This is a frontline, tip-of-the-spear role where you will work closely with strategic datacenter, cloud, and emerging neocloud customers, internal engineering teams, and ecosystem partners to help deploy, optimize, and scale AI and high-performance workloads on AMD CPU and GPU platforms.
This is not an entry-level position. We are looking for an experienced engineer who already knows how to earn a customer's confidence — someone with the energy and initiative to drive complex technical engagements from first conversation to production deployment. The role blends hands-on systems work, AI workload enablement, and technical program management. You will act as the technical bridge between field requirements and internal AMD teams, and your success will depend as much on how you build trust as on what you know.
The Person
Does this sound like you? We'd love to talk!
Experienced supporting customers in the compute and datacenter space — including cloud, on-prem, and the fast-growing neocloud providers — with the passion and drive to grow AMD's footprint in demanding, high-stakes accounts
Able to communicate with persuasion and empathy — you meet customers where they are, listen first, and move conversations forward without losing the room
A natural at navigating and communicating across teams, aligning engineering, product, marketing, and sales around a shared customer outcome
Build trust and transparency by default; you are candid about what works, honest about what doesn't, and reliable under pressure
Excellent problem-solving, time-management, prioritization, and organizational skills, able to lead complex problems involving multi-disciplined, multi-functional teams and many priorities at once
A standout colleague with excellent collaborative skills, able to work independently or as part of a team
Outstanding oral and written communication skills and demonstrated success in building strong technical relationships (internal: Sales, Marketing, Engineering; external: customers and OEMs)
Key Responsibilities
Customer & Field Engagement
Serve as the senior technical point of contact for strategic customers across cloud, on-prem, and neocloud (GPU-specialized cloud) providers, supporting AI and HPC workloads on AMD CPU and GPU platforms
Work directly with customer engineering and leadership contacts to understand their use cases, requirements, and constraints, and guide them through solution design and deployment
Deliver persuasive technical presentations, demos, and architecture walkthroughs to both technical and executive audiences, translating AMD's differentiation into business value
Program-manage customer opportunities as they grow in complexity, coordinating activities across internal and external stakeholders and keeping momentum through long sales cycles
Technical Enablement & Hands-On Work
Perform hands-on system bring-up including hardware installation, firmware configuration, OS installation, and driver setup
Deploy and validate open-source AI and HPC software stacks (e.g., Linux, ROCm, AI frameworks, containers)
Run functionality, performance, and scalability benchmarks on CPU and GPU workloads
Perform profiling and analysis of applications to identify performance bottlenecks and optimization opportunities
Support AI/agentic workloads spanning training, inference, and data preprocessing across CPU and GPU platforms
Architecture & Platform Knowledge
Apply deep working knowledge of AMD CPU and GPU architectures and how they impact real-world workloads
Reason across full-stack solutions spanning hardware, system software, drivers, frameworks, and applications
Lead solution design for on-premises, cloud, neocloud, and hybrid deployments
Cross-Functional Collaboration
Collaborate closely with engineering, product management, marketing, and sales teams to represent customer needs and navigate decisions across organizational boundaries
Provide structured voice-of-the-customer feedback to influence product features, documentation, and roadmap decisions
Contribute to internal knowledge sharing, best practices, and team initiatives, and mentor teammates where your expertise intersects their challenges
Qualifications
Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field (or equivalent practical experience)
Demonstrated success in a customer-facing technical role supporting compute, datacenter, or cloud customers
Strong interest in AI/ML technologies and proven ability to work across hardware and software layers
Hands-on experience with Linux-based systems
Programming experience in one or more of: Python, C/C++, Bash
Familiarity with AI frameworks or tools (e.g., PyTorch, TensorFlow, ONNX, Hugging Face, or similar)
Strong communication skills with the ability to explain technical concepts clearly and persuasively
Ability to work effectively in a team-oriented, cross-functional environment
Preferred Qualifications
Experience working with GPU computing and/or accelerator-based workloads
Exposure to profiling and performance analysis tools for CPU and GPU workloads
Understanding of computer architecture concepts (CPU pipelines, memory hierarchy, GPU execution models)
Experience setting up or working in a lab environment with servers, networking, and storage
Familiarity with cloud platforms such as AWS, Azure, Google Cloud, or Oracle Cloud — and/or neocloud GPU providers (e.g., CoreWeave, Lambda, Crusoe, Nebius) — including compute instance types and accelerators
Knowledge of containers and orchestration (Docker, Kubernetes)
Prior success in customer-facing or field engineering roles within the datacenter or cloud ecosystem
What Success Looks Like in This Role
Customers successfully deploy and optimize AI and CPU/GPU workloads on AMD platforms with your support
You are recognized as a trusted technical advisor — internally and externally — because you consistently lead with transparency and follow through
You take on increasingly complex opportunities and grow AMD's share of your customers' addressable market
You actively contribute to a collaborative, high-performing team culture
Location
This is primarily a work-from-home position open to candidates across the United States, outside the San Francisco Bay Area and Seattle metro areas
Willing to travel up to 25% for customer and lab engagements
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.
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