Technical Marketing Engineer-AI Performance Lead

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 TEAM : AMD's Data Center GPU organization is transforming the industry with our AI based Graphic Processors.

Our primary objective is to design exceptional products that drive the evolution of computing experiences, serving as the cornerstone for enterprise Data Centers, (AI) Artificial Intelligence, HPC and Embedded systems.

If this resonates with you, come and join our Data Center GPU organization where we are building amazing AI powered products with amazing people.

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? Do you thrive on the technical challenge of enhancing AI model efficiency?

If your passion lies in performance tuning and delivering clear, impactful technical guidance, join us. We seek a performance maestro who can not only navigate the complexities of GPU optimization but can also communicate these intricacies through compelling, high-quality technical content.

RESPONSIBILITIES : Partner with AMD’s AI software engineering team to develop 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.

Mentor and guide the rest of the organization on general performance optimization & testing methods. KEY SUCCESS FACTORS & COMPETENCIES A persistent pursuit of performance excellence, with the ability to convey optimization strategies in a clear and effective manner.

Exceptional communication skills, marked by clarity, precision, and the ability to engage and instruct a technical audience.

A passion for technological innovation, particularly in GPU performance and AI applications. A proactive, customer-first approach, dedicated to surpassing customer performance expectations and resolving optimization challenges swiftly.

PREFERRED EXPERIENCE : 5+ years of experience in performance optimization for AI workloads on GPUs or similar accelerators.

Advanced programming skills in Python & C / C++ with a strong portfolio of performance tuning projects. Expertise in developing performance-centric technical documentation, with proficiency in Read the Docs, MarkDown, and Jupyter Notebooks.

A track record of creating insightful, explanatory content that simplifies the complexity of GPU performance for technical audiences.

Proficiency with productivity and collaboration tools necessary for creating and sharing documentation and training materials.

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 engaging with customers and delivering performance improvements in data center or HPC environments. ACADEMIC CREDENTIALS : BS in Computer Science, Computer Engineering, or Electrical Engineering required.

MS or PhD a plus. LOCATION : Austin, TX or remote. While this position allows for remote work, candidates located in Austin, TX area are preferred for this role.

Additionally, candidates based near AMD primary office locations of Santa Clara, Vancouver, or Toronto will also be given priority.

LI-BW1 #LI-HYBRID At AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position.

You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD’s Employee Stock Purchase Plan.

You’ll also be eligible for competitive benefits described in more detail here. 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.

THE TEAM : AMD's Data Center GPU organization is transforming the industry with our AI based Graphic Processors. Our primary objective is to design exceptional products that drive the evolution of computing experiences, serving as the cornerstone for enterprise Data Centers, (AI) Artificial Intelligence, HPC and Embedded systems.

If this resonates with you, come and join our Data Center GPU organization where we are building amazing AI powered products with amazing people.

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? Do you thrive on the technical challenge of enhancing AI model efficiency?

If your passion lies in performance tuning and delivering clear, impactful technical guidance, join us. We seek a performance maestro who can not only navigate the complexities of GPU optimization but can also communicate these intricacies through compelling, high-quality technical content.

RESPONSIBILITIES : Partner with AMD’s AI software engineering team to develop 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.

Mentor and guide the rest of the organization on general performance optimization & testing methods. KEY SUCCESS FACTORS & COMPETENCIES A persistent pursuit of performance excellence, with the ability to convey optimization strategies in a clear and effective manner.

Exceptional communication skills, marked by clarity, precision, and the ability to engage and instruct a technical audience.

A passion for technological innovation, particularly in GPU performance and AI applications. A proactive, customer-first approach, dedicated to surpassing customer performance expectations and resolving optimization challenges swiftly.

PREFERRED EXPERIENCE : 5+ years of experience in performance optimization for AI workloads on GPUs or similar accelerators.

Advanced programming skills in Python & C / C++ with a strong portfolio of performance tuning projects. Expertise in developing performance-centric technical documentation, with proficiency in Read the Docs, MarkDown, and Jupyter Notebooks.

A track record of creating insightful, explanatory content that simplifies the complexity of GPU performance for technical audiences.

Proficiency with productivity and collaboration tools necessary for creating and sharing documentation and training materials.

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 engaging with customers and delivering performance improvements in data center or HPC environments. ACADEMIC CREDENTIALS : BS in Computer Science, Computer Engineering, or Electrical Engineering required.

MS or PhD a plus. LOCATION : Austin, TX or remote. While this position allows for remote work, candidates located in Austin, TX area are preferred for this role.

Additionally, candidates based near AMD primary office locations of Santa Clara, Vancouver, or Toronto will also be given priority.

LI-BW1 #LI-HYBRIDAt AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position.

You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD’s Employee Stock Purchase Plan.

You’ll also be eligible for competitive benefits described in more detail here. 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.