Senior AI Field Applications Engineer – GPUs & HPC

AMD; Austin (TX); Presencial; USD 120 000 - 160 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Remote work options

Travel opportunities

Resumo da oferta

AMD in Austin, TX is seeking a Field Application Engineer for its AI and HPC Center of Excellence. The role combines hands-on performance tuning of training and inference workloads on AMD Instinct GPUs with customer-engagement, presentations, and joint development with partners.

You will run ML workloads with PyTorch, TensorFlow, JAX, and related frameworks, document results, and help customers optimize deployments on AMD hardware.

Qualificações

• Experience training and inference workloads on GPUs.
• Proficiency with common AI frameworks (PyTorch, TensorFlow, JAX).
• Ability to write technical docs and present to diverse audiences.

Responsabilidades

• Support customers and partners to run AI workloads on AMD Instinct GPUs.
• Conduct performance investigations and document AI performance across workloads.
• Create internal/external guides, whitepapers, and training collateral.
• Engage with multiple AMD teams to relay field requirements and testing feedback.
• Assist in pricing discussions with the bid desk and build POCs for customers.

Conhecimentos

AI inference experience

Training workloads

Frameworks: PyTorch TensorFlow JAX

Customer-facing communication

Documentation writing

Linux/HPC administration

Formação académica

Bachelor's degree in Computer Science, Electrical Engineering, Physics, or Mathematics

Ferramentas

KVM

Kubernetes

OpenStack/OpenShift

Descrição da oferta de emprego

AMD in Austin, TX is seeking a Field Application Engineer for its AI and HPC Center of Excellence. The role combines hands-on performance tuning of training and inference workloads on AMD Instinct GPUs with customer-engagement, presentations, and joint development with partners.

You will run ML workloads with PyTorch, TensorFlow, JAX, and related frameworks, document results, and help customers optimize deployments on AMD hardware.