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AMD

Designs chips for computers and AI systems

Technical Marketing Engineer - Enterprise AI Solutions

Developer Relations & AdvocacyPosted on Nov 12
Full-timeSanta Clara, CA, USANo salary listed

About the Job

Requirements

  • 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 large language model 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.

Responsibilities

  • Create and deliver workshops, technical training, labs, and demonstrations for partners, customers, sales teams, and AMD field application engineers.
  • Translate enterprise AI capabilities into 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 large language model inference, retrieval-augmented generation, agents, and application-layer solutions.
  • Partner with OEM, ODM, OSV, and ISV engineering and marketing teams to validate configurations, refine 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 to AMD teams to improve enablement, documentation, and solution readiness.

Desired Qualifications

  • A bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Artificial Intelligence, or a related technical field is desired.
  • A master's degree is preferred.

About the Company

AMD

Designs chips for computers and AI systems

AMD designs processors, graphics chips and AI accelerators for computer makers, cloud operators and businesses that build electronic devices. Its Ryzen processors power personal computers, while EPYC processors handle work in data centers and Radeon chips render graphics. Instinct accelerators run AI models, paired with software that developers use to train models and put them into production. AMD sells chips and related computing systems through equipment makers, distributors and retail channels, and contracts with outside foundries to fabricate its semiconductor designs. It was founded in 1969 and has its headquarters in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1969

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