Description
WHAT YOU DO AT AMD CHANGES EVERYTHING
We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world's most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.
AMD together we advance_
THE ROLE
We are seeking an experienced and motivated AI Application Engineer to join our HPC & AI Centre of Excellence (HPC CoE). In this hands-on technical role, you will:
Support customers and partners with RFP-driven requests and enable AI workloads to run efficiently on AMD ‘Instinct' datacenter GPUs.
Conduct engineering investigations to understand performance characteristics of both popular and customer-specific AI training and inference workloads. Compare AMD performance against competitors.
Develop technical documentation showcasing AI performance on AMD hardware to assist Field Application teams, partners, and customers.
This position requires practical experience in executing and tuning AI workloads, with a strong understanding of modern AI tools and frameworks. You will also be expected to deliver presentations and training sessions, both remotely and in-person.
This is a high-impact role with significant visibility across AMD, offering excellent opportunities for growth and collaboration with global teams. The role is based in the Asia-Pacific region and includes travel to customer sites and conferences.
The Person
Proven experience in the AI field, currently involved in AI training or inference as a core part of your role.
Hands-on expertise with popular AI frameworks such as PyTorch, TensorFlow, and JAX.
A collaborative team player with a proactive, can-do attitude who leads by example.
Strong time management and organizational skills to prioritize and meet deadlines.
Excellent verbal and written communication skills.
Willingness to travel domestically and internationally (10–20% annually).
Proficiency in English.
Key Responsibilities
Support the AI sales process by enabling customers to run AI workloads on AMD Instinct GPUs and EPYC CPUs.
Assist partners with RFP responses by executing benchmark tests and evaluations.
Guide customers through Proof of Concepts (PoCs), provide training and technical presentations.
Run and optimize training and inference workloads using AI frameworks.
Analyze system and software configurations and compare performance with competitors.
Create documentation such as tuning guides, whitepapers, internal and external training materials.
Collaborate with teams across AMD including GPU BU, Engineering, Software, and Product Development to gather field feedback and drive improvements.
Develop Total Cost of Ownership (TCO) models to support pricing discussions.
Own technical issues reported by customers and partners, manage JIRA tickets, and drive resolution.
Preferred Experience
Proven experience executing AI training and inference workloads on GPU platforms.
Hands-on experience with PyTorch, TensorFlow, JAX, and familiarity with AI repositories such as Hugging Face or MLPerf.
Understanding of performance benchmarking with models such as ResNet, BERT, DLRM, and real-world AI applications (e.g., LLMs, NLP, recommendation systems).
Strong understanding of hardware architecture and software stack impact on performance.
Ability to document technical topics clearly and communicate effectively with various audiences.
Basic Linux administration and HPC/AI middleware setup knowledge.
Nice to Have
AI experience in industries such as automotive, finance, enterprise, or defense.
Programming experience with HIP, CUDA, Python, C/C++, Fortran, OpenACC, OpenMP.
Familiarity with large-scale system performance, inter-node network impact, and application scalability.
Deep knowledge of DNN design for different ML use cases.
Experience with assembly-level code and memory/cache performance analysis.
Government-level security clearance.
Academic Credentials
Bachelor's degree (or higher) in Computer Science, Electrical Engineering, Physics, Mathematics, or a related technical field.
Location South Korea (preferred location: Seoul)
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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.
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