Technical Marketing Engineer - AI Workloads & ROCm Software/Tools Job Listing at AMD in Santa Clara, CA (Job ID 66106-en-us)

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: 

At AMD, the customer experience is paramount, and delivering exceptional performance is key to our success. As a Lead Technical Marketing Engineer within the Data Center GPU & Accelerated Processing group, you will be laser-focused on making it easy for customers to achieve the peak performance for AI model workloads running on Instinct GPUs. You'll be at the helm of our efforts to ensure that every customer maximizes the potential of their AI applications in areas such as large language models (LLMs), computer vision, and industry benchmarks. Your expertise will enable customers to understand the true power of our GPUs, driving the adoption and satisfaction that are hallmarks of our customer-centric philosophy. 

THE PERSON: 

Are you an engineering expert with a talent for pushing AI workload performance to the limits? Are you a technology enthusiast who loves to evangelize the latest technology and have engaged directly with customers to get the most out of their AI solutions?  If your passion lies in performance, workloads and delivering clear, impactful technical guidance, join us. We seek a technical marketing master who can not only navigate the complexities of GPU optimization and use but can also communicate these intricacies through compelling, high-quality technical content, tutorials, guides and training to enhance our customer & patterner experience. 

KEY RESPONSIBILITIES: 

• Partner with AMD's AI software engineering team to develop customer facing performance-focused content, including optimization guides, benchmarking results, and performance tuning advice.
• Cultivate comprehensive knowledge of AMD's ROCm software and industry-standard ML frameworks to produce technical materials that drive GPU performance optimization.
• Curate a library of performance optimization documentation, including detailed use-case guides and performance troubleshooting manuals.
• Keep abreast of the latest GPU technology and software developments, ensuring our performance content is aligned with the newest enhancements and capabilities.
• Create and maintain performance-centric code examples, detailed optimization recipes, and ready-to-deploy containers that leverage AMD's ROCm stack for peak AI workload efficiency.
• Engage with technical experts to validate documentation against real-world performance scenarios and benchmarking standards.
• Develop workload self-tuning guides with inputs from engineering for end-customer consumption.
• Proactively gather and integrate feedback from technical experts to ensure documentation meets real-world application and customer requirements. 
• Mentor and guide the rest of the organization on general performance optimization & testing methods. 
• Lead by example to improve the team's technical documentation capabilities, mentoring colleagues to achieve documentation excellence from initial development through to release. 

KEY SUCCESS FACTORS & COMPETENCIES 

• Exhibit a relentless curiosity in technological advancements, coupled with the capacity to distill complex concepts into easy-to-understand communication. 
• A passion for technological innovation, particularly in GPU performance and AI applications. 
• Be an exemplary communicator — clear, concise, and engaging — infusing integrity and transparency into all forms of interaction. 
• Harness your passion for education to elucidate, enthrall, and empower your audience, whether it's through writing, problem-solving, or live interaction. 
• A proactive, customer-first approach, dedicated to surpassing customer performance expectations and resolving model, application, and usability challenges swiftly Display proficiency in presenting technical information and feel comfortable stepping into the spotlight in a customer-centric environment, thriving in the dynamic expanse of a large organization. 

PREFERRED EXPERIENCE: 

• Bring a wealth of experience (5+ years) to the table in running and optimizing AI workloads with GPU or AI accelerators at scale. 
• Advanced programming skills in Python & C/C++, adhering to the highest standards of software design practices. 
• Expertise in developing performance-centric technical documentation, with proficiency in Read the Docs, MarkDown, and Jupyter Notebooks.

• Have a proven track record of writing both explanatory and procedural content which simplifies the complexity of GPU performance for technical audiences.

• Be well-versed with the suite of Microsoft Office, Adobe Acrobat, and other utilities pivotal in crafting and distributing customer documentation and training resources. 
• Hands-on experience with GPUs, FPGAs, or other machine learning accelerators, including in-depth knowledge of performance-critical APIs and tools like HIP, CUDA, ROCm, or OpenCL.
• A history of engagement with customers in high-tech sectors, particularly within hyperscale datacenter or high-performance computing (HPC) landscapes. 

ACADEMIC CREDENTIALS: 

• BS in Computer Science, Computer Engineering, or Electrical Engineering required. MS or PhD a plus. 

 LOCATION: 

Santa Clara, CA

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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.