Forward Deployed AI Research Scientist

Advanced Micro Devices, Inc•Santa Clara, CA

7d•Hybrid

About The Position

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. We are hiring Forward Deployed AI Research Scientist to help bring advanced AI capabilities into high-impact engineering and customer-facing workflows. This role combines applied AI research, technical strategy, prototyping, and field-facing collaboration. You will work closely with internal engineering teams and strategic external partners to identify valuable problems, shape them into tractable AI research and engineering efforts, and drive them toward measurable outcomes. The role is designed to scale a technical-business bridge across AMD: translating customer and partner needs into AI research directions, translating AI capabilities into engineering value, and helping teams align on what can be built, measured, and delivered.

Requirements

Strong background in AI, machine learning, systems, or applied research, with ability to turn ideas into prototypes and measurable experiments.
Experience with modern generative AI methods, LLMs, agents, tool use, retrieval, post-training, evaluation, or applied ML systems.
Strong programming ability in Python and familiarity with ML frameworks such as PyTorch, JAX, TensorFlow, or similar.
Ability to work with technical stakeholders across software, hardware, infrastructure, research, product, and business teams.
Excellent communication skills, including the ability to explain complex AI and systems topics clearly to both technical and executive audiences.

Nice To Haves

Experience in forward-deployed engineering, customer engineering, applied research, technical partnerships, solutions architecture, or strategic technical programs.
Experience with GPU systems, CPU performance, compilers, distributed training/inference, hardware/software co-design, or performance engineering.
Experience designing benchmarks, evals, experiment platforms, or metrics for AI systems.
Publications, open-source contributions, technical blogs, demos, or shipped AI systems are a plus.
Familiarity with semiconductor, datacenter, AI infrastructure, or high-performance computing environments is a strong plus.

Responsibilities

Work with internal and external stakeholders to identify high-value AI opportunities in compute, systems, software, and hardware engineering workflows.
Translate partner and customer needs into research questions, technical plans, evaluation criteria, and prototype paths.
Prototype and evaluate modern AI methods for engineering tasks, including agentic workflows, tool use, code generation, debugging, optimization, retrieval, and learning from feedback.
Partner with research and engineering teams to define metrics, evals, benchmarks, and acceptance criteria for AI-assisted workflows.
Build technical narratives, demos, and decision materials that help senior stakeholders understand tradeoffs, progress, risks, and strategic value.
Support strategic deals and collaborations by serving as a credible technical bridge between business goals and AI engineering reality.
Capture recurring customer and partner needs and turn them into reusable insights for product, research, platform, and engineering roadmaps.
Mentor teams on practical AI methods and help raise the quality of AI experimentation, evaluation, and communication across the organization.