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:
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.
KEY RESPONSIBLITIES:
- 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.
PREFERRED EXPERIENCE:
- 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.
ACADEMIC CREDENTIALS
- BS in Computer Science, Computer Engineering, Electrical Engineering, or a related field required. MS or PhD is a plus.
LOCATION
Austin, TX
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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