GPU-Driven AI/ML Solutions Engineer

AMD; Santa Clara (CA); On-site; USD 140,000 - 180,000; Full time

Job summary

AMD’s Software and Solutions Team is seeking an AI/ML Solutions Engineer to empower customers and partners in adopting AMD’s AI software stack. This role requires strong technical depth in ML frameworks, GPU workflows, and enterprise architecture, with excellent communication and customer-facing skills.

The position spans development, integration, deployment, and performance analysis, ensuring innovative, efficient, and scalable AI solutions on AMD GPUs.

Qualifications

• Extensive expertise in AI/ML engineering, distributed training, and GPU computing.
• Familiarity with ROCm, CUDA, AMD MI300/MI325 platforms, MLOps systems, data pipelines, and cloud-native deployment.
• Additional experience developing demos, validated designs, reproducible notebooks, or technical content.
• A strong understanding of industry trends and competitive AI technologies.

Responsibilities

• Create reference designs, optimize workflows, and enable the AI ecosystem.
• Collaborate with engineering teams, ISVs, cloud partners, and enterprise customers to guide deployments.
• Prototype end-to-end AI workflows (training, fine-tuning, inference) and produce notebooks and playbooks.
• Build demos, content and roadmaps input; validate integrations like vLLM and Triton with partners.

Skills

AI/ML engineering

Distributed training

GPU computing

PyTorch

TensorFlow

JAX

Inference runtimes

Containerized GPU environments

Customer engagement

Enterprise solution design

Technical advocacy

Education

BS, MS, or PhD in Computer Science or related

Tools

ROCm

CUDA

MLOps

Cloud-native deployment

Job description

AMD’s Software and Solutions Team is seeking an AI/ML Solutions Engineer to empower customers and partners in adopting AMD’s AI software stack. This role requires strong technical depth in ML frameworks, GPU workflows, and enterprise architecture, with excellent communication and customer-facing skills.

The position spans development, integration, deployment, and performance analysis, ensuring innovative, efficient, and scalable AI solutions on AMD GPUs.