Principal AI Performance and Tools

Advanced Micro Devices, Inc•UNAVAILABLE, Oregon

1d•Hybrid

About The Position

Shape the product direction, performance benchmarking strategy, and developer tools ecosystem for AMD AI software. You will be a partner with engineering, architecture, developer relations, and strategic customers to ensure AMD AI platforms deliver outstanding performance, usability, and value across inference, training and emerging AI workloads. You will serve as a technical authority on AI workload performance, translating complex customer and ecosystem needs into actionable product requirements, performance roadmaps, benchmark methodologies, reference workflows, and go-to-market guidance.

Requirements

Proven years of experience in software engineering, systems architecture, performance engineering, AI/ML infrastructure, developer tools, or related disciplines.
Hands-on expertise with AI and machine learning frameworks and runtimes such as PyTorch, TensorFlow, JAX, ONNX Runtime, vLLM, or similar technologies.
Strong understanding of GPU computing, heterogeneous systems, model serving, and AI optimization.
Experience with performance profiling, benchmarking, tracing, debugging, compiler technologies, runtimes, or systems observability.
Proficiency in one or more programming languages, including Python, C++, C, HIP, CUDA, or similar languages.
Demonstrated ability to analyze complex system performance behavior and communicate findings clearly to technical and executive audiences.
Experience influencing cross functional product and engineering roadmaps without direct reporting authority.
Strong product judgment, customer empathy, and the ability to balance technical depth with business and ecosystem priorities.
Excellent written, verbal, and presentation skills.
Experience with AMD ROCm™, HIP, Triton, FlyDSL, vLLM, SGLang, distributed computing libraries, or open source AI frameworks and libraries.
Experience optimizing large language models, generative AI, recommendation systems, computer vision, or scientific computing workloads.
Familiarity with cloud AI platforms, Kubernetes-based deployments, model-serving stacks, and enterprise AI operations.
Contributions to open-source projects, published technical work, patents, or recognized expertise in AI systems or performance engineering.
Experience working with major cloud providers, server OEMs, AI startups, or enterprise customers.
B.S. or M.S. in Computer Science, Computer Engineering, Electrical Engineering, Business, or a related field.

Responsibilities

Lead the technical strategy for AI performance analysis, benchmarking, profiling, optimization, and tools across AMD platforms.
Partner with external customers and internal stakeholders to define product requirements, roadmap priorities, and measurable success criteria for AI performance and tooling initiatives.
Analyze inference and training workloads across leading models, frameworks, and deployment environments to identify bottlenecks and recommend architectural and software improvements.
Develop technically rigorous performance narratives, including benchmark methodologies, workload characterization, competitive analysis.
Influence roadmaps for profiling, debugging, observability, compilers, runtimes, and performance-tuning tools across AMD's AI software ecosystem.
Translate customer requirements and performance gaps into prioritized engineering features, fixes, and optimization initiatives.
Engage strategic customers, cloud service providers, OEMs, ISVs, AI companies, and open-source communities to understand real world development workflows and tooling needs.
Define reference workflows, best practices, and reproducible methodologies for optimizing AI models and applications.
Collaborate with developer relations, solutions architecture, marketing, and sales teams to communicate AMD's technical capabilities and accelerate adoption.
Represent AMD in customer briefings, technical forums, industry events, standards organizations, and open-source communities, as appropriate.