AMD · 4 days ago
Technical Marketing Engineer – HPC/AI for Science & Technical Writing
AMD is a leading company focused on next-generation computing experiences, and they are seeking a Technical Marketing Engineer to enhance customer engagement with their data center GPU solutions. The role involves creating technical content and training to facilitate the adoption of AMD's HPC and AI technologies.
AI InfrastructureArtificial Intelligence (AI)Cloud ComputingComputerEmbedded SystemsGPUHardwareSemiconductor
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
Qualification
Required
BS in Computer Science, Computer Engineering, Electrical Engineering, or a related field required
Preferred
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
Benefits
AMD benefits at a glance.
Company
AMD
Advanced Micro Devices is a semiconductor company that designs and develops graphics units, processors, and media solutions.
Funding
Current Stage
Public CompanyTotal Funding
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