AI Solution Architect, GPU

AMD - Advanced Micro Devices

Munich, Germany

THE PERSON:

Success in this role requires deep expertise in Data Center AI workloads, including Large Language Models (LLMs), Generative AI, Recommendation Systems, Computer Vision, and other cutting-edge AI technologies. The ideal candidate will have hands-on experience with various AI models, end-to-end pipelines, and industry-standard frameworks and SDKs. This individual should possess a strong technical background in GPU computing and AI software solutions, with a focus on driving customer success and innovation in both cloud and edge environments.

KEY RESPONSIBILITIES:

Lead technical discussions and craft strategic proposals for top customers, effectively positioning AMD's AI solutions and differentiators.
Drive the successful execution of customer Proof-of-Concept (PoC) initiatives, ensuring technical alignment and achieving project milestones.
Collaborate with customers to gather requirements and help shape AI software solutions, while contributing to the long-term roadmap for AI software across cloud and edge platforms.
Provide valuable insights into hardware and silicon roadmap planning, ensuring alignment with AI-driven use cases and customer needs in the data center and at the edge.
Conduct competitive analysis of AI solutions, identifying key strengths and weaknesses to effectively communicate AMD’s value proposition and market advantage.

PREFERRED EXPERIENCE:

GPU Expertise: In-depth experience with GPU programming and optimization, including expertise in CUDA and ROCm. Experience of GPU kernel including CUDA, Cutclass, Triton, HIP is highly desired.
AI Software Proficiency: Strong hands-on experience with AI frameworks and software solutions, such as TensorRT, PyTorch, JAX, vLLM, and Megatron-LM. Coding skills in Python and C++.
Model Optimization: Proven ability to implement and optimize large-scale AI models, including LLMs, Generative AI, and Recommendation Systems.
Industry Experience: Experience working on AI projects in hyperscale data centers or large enterprise environments is highly preferred.
Communication Skills: Exceptional written and verbal communication skills, with the ability to clearly present complex technical information and collaborate effectively with cross-functional teams and customers.