Technical Marketing Engineer – HPC/AI for Science & Technical Writing

Advanced Micro Devices, Inc•Austin, TX

2d•Hybrid

About The Position

AMD is committed to delivering an exceptional, end‑to‑end customer experience. Ease of use, clarity, and strong technical enablement are core to how our customers succeed with AMD technologies. As a Technical Marketing Engineer (TME) within the Software Product Management organization for AMD’s Data Center GPU Business Unit, you will play a critical role in shaping the customer journey—from first technical engagement and education through successful deployment and optimization of AMD data center GPU solutions. In this role, you will bridge deep technical expertise with clear communication, helping customers, partners, and internal teams understand how AMD GPUs unlock performance and value across HPC, AI for science, large language models (LLMs), and industry benchmarks. Your work will ensure customers can get productive quickly, supported by high‑quality documentation, training, and hands‑on examples that remove friction and accelerate adoption. The PERSON: You are a technologist at heart with a passion for teaching, storytelling, and customer success. You enjoy digging into complex systems and translating them into clear, practical guidance for both technical and non‑technical audiences. You combine strategic thinking with hands‑on execution and thrive in environments where you can influence product understanding, positioning, and adoption through high‑impact technical content. If you enjoy writing, presenting, building demos, and working closely with engineers and customers to solve real problems, this role offers a unique opportunity to grow and make an impact at scale.

Requirements

5+ years of hands‑on experience running, tuning, or optimizing HPC or AI workloads on GPU‑accelerated systems at scale.
Direct customer‑facing experience in high‑tech environments, including HPC, AI, OEMs, or cloud service providers.
Demonstrated ability to produce high‑quality educational and explanatory content that simplifies complex GPU, performance, and software concepts.
Hands‑on experience with GPUs, FPGAs, or other accelerators, and familiarity with performance‑critical APIs and platforms such as ROCm, HIP, CUDA, or OpenCL.
Strong understanding of machine learning (training and inference), HPC workloads, numerical methods, or algorithms.
Practical experience with data science and machine learning tools such as PyTorch, JAX, Pandas, or similar frameworks.
Proven experience delivering technical presentations, workshops, or participating in industry conferences, meetups, or hackathons.
Expertise in modern documentation and publishing workflows, including Markdown, Read the Docs, and Jupyter Notebooks.
Proficiency with standard productivity and publishing tools (e.g., Microsoft Office, Adobe Acrobat) used for technical documentation and training delivery.
Confidence presenting complex technical material in customer‑facing settings within a fast‑paced, large‑scale organization.
BS in Computer Science, Computer Engineering, Electrical Engineering, or a related field required.

Nice To Haves

MS or PhD is a plus.

Responsibilities

Create, curate, and maintain a comprehensive library of technical content—including manuals, user guides, application notes, tutorials, READMEs, and best‑practice documentation—for AMD data center GPU solutions with a focus on HPC and AI for science.
Translate complex GPU hardware and software capabilities into clear, actionable guidance and real‑world customer scenarios that strengthen product positioning and adoption.
Stay current with GPU architectures, software stacks, and ecosystem developments to ensure all content reflects the latest capabilities and enhancements.
Work with AMD architects, product managers and product marketing to develop and publish technical whitepapers for AMD’s Instinct GPUs
Design and deliver high‑impact technical training for internal teams (e.g., FAEs, solutions engineers) and external audiences (OEMs, ODMs, customers) through virtual, in‑person, and self‑paced formats.
Develop hands‑on demonstrations, sample workflows, and reference implementations that showcase AMD data center GPUs in real-world HPC and AI applications.
Build deep empathy for the challenges faced by solutions architects and engineers deploying AMD GPUs, and create documentation that proactively removes barriers to adoption.
Actively gather and incorporate feedback from customers, field teams, and internal technical experts to continuously improve content quality and relevance.
Lead by example in documentation excellence, mentoring and influencing peers to raise the overall quality, consistency, and effectiveness of technical materials.
Communicate with clarity, integrity, and transparency across written, verbal, and visual formats.