AI/ML Solutions Engineer

Advanced Micro Devices, Inc•Santa Clara, CA

About The Position

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: 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 machine learning frameworks, GPU workflows, and enterprise architecture, paired with excellent communication and customer-facing skills. The role spans development, integration, deployment, and performance analysis, ensuring innovative, efficient, and scalable AI solutions on AMD GPUs. THE PERSON: A highly motivated and passionate professional with deep expertise in ML/AI systems and a proven track record in collaboration, problem-solving, and technical execution. The ideal candidate thrives in fast-paced, cross-functional, highly technical environments working closely with customers, ISVs, cloud partners, and engineering teams. This individual excels at engaging directly with enterprise stakeholders to understand complex workloads, lead technical deep dives, deliver reference architectures, and guide solution integrations.

Requirements

Extensive expertise in AI/ML engineering, distributed training, and GPU computing
Strong experience in customer engagement, enterprise solution design, and technical advocacy.
Knowledge of modern ML workloads (LLMs, generative AI, RAG, CV, fine-tuning)
Hands-on experience with PyTorch, TensorFlow, JAX, inference runtimes, and containerized GPU environments is essential.
A strong understanding of industry trends and competitive AI technologies is necessary to guide scalable solution development and optimize workload performance.

Nice To Haves

Familiarity with ROCm, CUDA, AMD MI300/MI325 platforms, MLOps systems, data pipelines, and cloud-native deployment architectures is highly desirable.
Additional experience developing demos, validated designs, reproducible notebooks, or technical content is strongly preferred.

Responsibilities

Work across reference design creation, workflow optimization, performance tuning, and ecosystem enablement
Collaborate with engineering teams, ISVs, cloud partners, and enterprise customers will be essential to guide real-world AI deployments and translate customer insights into actionable engineering direction.
Drive innovation by prototyping and demonstrating end-to-end AI workflows across training, fine-tuning, and inference; developing validated designs, notebooks, and performance playbooks; and providing structured feedback to AMD’s ROCm, frameworks, platform, and performance engineering teams.
Champion AMD technologies within the AI community, build demos and best-practice content, influence product roadmaps, validate ecosystem integrations such as vLLM and Triton, and support partner technology readiness—ultimately advancing AMD’s AI ecosystem and improving workload efficiency at scale.