Technical Marketing Engineer - Enterprise AI Solutions

ADVANCE YOUR CAREER. ADVANCE THE WORLD. 

At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future. 

Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.

THE ROLE:

Enterprise AI is moving fast, and AMD is building the open ecosystem powering what comes next! As a Technical Marketing Engineer on the Enterprise AI Solutions & Ecosystem team, you will translate AMD Instinct™ GPUs, AMD EPYC™ CPUs, AMD Radeon™ GPUs, and the open AMD ROCm™ software stack into hands-on demos, workshops, and partner-ready content. You will work across AMD and with OEM, ODM, OSV, and ISV partners to help bring validated AI solutions to market.

THE PERSON:

You combine hands-on engineering skills with a marketer’s instinct for clarity and impact. You enjoy building AI environments, solving technical problems, and turning complex concepts into stories, demonstrations, and training that inspire action. You are organized, curious, confident with technical audiences, and comfortable adapting as technologies and priorities evolve.

KEY RESPONSIBILITIES:

• Create and deliver engaging workshops, technical training, labs, and demos for partners, customers, sales teams, and AMD field application engineers.

• Translate enterprise AI capabilities into concise solution briefs, deployment guides, technical blogs, presentations, videos, FAQs, and launch materials.

• Build and maintain demonstrations across AMD Instinct, EPYC, Radeon, and ROCm platforms, including LLM inference, RAG, agents, and application-layer solutions.

• Partner with OEM, ODM, OSV, and ISV engineering and marketing teams to validate configurations, sharpen messaging, and support joint go-to-market programs.

• Help partners deploy and optimize AI software on AMD platforms by coordinating hardware access, technical resources, documentation, and engineering support.

• Bring partner and field feedback back to AMD teams to improve enablement, documentation, and solution readiness.

PREFERRED EXPERIENCE:

• Hands-on knowledge of GPU architecture, GPU enablement, and AI/HPC environments.

• Linux administration, including drivers, package management, and troubleshooting across enterprise distributions.

• Kubernetes and DevOps experience with containers, Helm, operators, CI/CD, and GPU scheduling.

• Experience deploying or optimizing AI inference, particularly LLM workloads using vLLM, SGLang, Triton Inference Server, or KServe.

• Python and shell scripting skills, plus familiarity with Git; exposure to ROCm, HIP, CUDA, or the NVIDIA ecosystem is valuable.

• Strong written, verbal, and presentation skills, with interest in technical marketing, partner enablement, workshops, or developer education.

• Ability to travel approximately 25% or more for partner engagements, workshops, and industry events.

ACADEMIC CREDENTIALS: Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Artificial Intelligence, or a related technical field desired; Master’s degree is preferred.

This role is not eligible for visa sponsorship.

#LI-LB1

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.

THE ROLE:

Enterprise AI is moving fast, and AMD is building the open ecosystem powering what comes next! As a Technical Marketing Engineer on the Enterprise AI Solutions & Ecosystem team, you will translate AMD Instinct™ GPUs, AMD EPYC™ CPUs, AMD Radeon™ GPUs, and the open AMD ROCm™ software stack into hands-on demos, workshops, and partner-ready content. You will work across AMD and with OEM, ODM, OSV, and ISV partners to help bring validated AI solutions to market.

THE PERSON:

You combine hands-on engineering skills with a marketer’s instinct for clarity and impact. You enjoy building AI environments, solving technical problems, and turning complex concepts into stories, demonstrations, and training that inspire action. You are organized, curious, confident with technical audiences, and comfortable adapting as technologies and priorities evolve.

KEY RESPONSIBILITIES:

• Create and deliver engaging workshops, technical training, labs, and demos for partners, customers, sales teams, and AMD field application engineers.

• Translate enterprise AI capabilities into concise solution briefs, deployment guides, technical blogs, presentations, videos, FAQs, and launch materials.

• Build and maintain demonstrations across AMD Instinct, EPYC, Radeon, and ROCm platforms, including LLM inference, RAG, agents, and application-layer solutions.

• Partner with OEM, ODM, OSV, and ISV engineering and marketing teams to validate configurations, sharpen messaging, and support joint go-to-market programs.

• Help partners deploy and optimize AI software on AMD platforms by coordinating hardware access, technical resources, documentation, and engineering support.

• Bring partner and field feedback back to AMD teams to improve enablement, documentation, and solution readiness.

PREFERRED EXPERIENCE:

• Hands-on knowledge of GPU architecture, GPU enablement, and AI/HPC environments.

• Linux administration, including drivers, package management, and troubleshooting across enterprise distributions.

• Kubernetes and DevOps experience with containers, Helm, operators, CI/CD, and GPU scheduling.

• Experience deploying or optimizing AI inference, particularly LLM workloads using vLLM, SGLang, Triton Inference Server, or KServe.

• Python and shell scripting skills, plus familiarity with Git; exposure to ROCm, HIP, CUDA, or the NVIDIA ecosystem is valuable.

• Strong written, verbal, and presentation skills, with interest in technical marketing, partner enablement, workshops, or developer education.

• Ability to travel approximately 25% or more for partner engagements, workshops, and industry events.

ACADEMIC CREDENTIALS: Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Artificial Intelligence, or a related technical field desired; Master’s degree is preferred.

This role is not eligible for visa sponsorship.

#LI-LB1

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.