Senior AI/ML Engineer

Job Title

Senior AI/ML Engineer

Role Summary

Build, scale, and deploy AI-assisted tooling and agentic systems to accelerate the specification-to-netlist silicon design lifecycle. Work at the intersection of production software engineering, AI orchestration, and hardware infrastructure to integrate LLMs and toolchains into engineering workflows.

Primary location: Austin, TX with hybrid flexibility across AMD locations as needed. This role is not eligible for visa sponsorship.

Experience Level

Senior-level. The posting does not specify years-of-experience guidance.

Responsibilities

Deliver production-grade AI-driven capabilities that assist silicon IP and SoC teams across specification, verification, and synthesis stages.

• Design and deploy modular AI agent architectures for task decomposition, structured tool usage, and iterative code generation across the spec-to-RTL lifecycle.
• Develop and optimize multi-step agent workflows: prompt orchestration, context management, and state handling for complex engineering tasks.
• Build and scale hybrid retrieval systems, including RAG pipelines and knowledge graphs, to ground agents in hardware specifications and architectural data.
• Implement closed-loop automation that interprets compiler/EDA tool outputs (lint, simulation) for iterative design refinement.
• Build and maintain secure, low-latency infrastructure to integrate LLMs with external tools using MCP and custom APIs.
• Partner with IP and subsystem teams to integrate AI-driven workflows into existing silicon development processes.
• Establish evaluation frameworks and automated pipelines to validate AI outputs for correctness and synthesis readiness, including PPA targets.

Requirements

Key technical qualifications and skills expected for successful performance.

• Must-have: Production experience developing AI/LLM applications or agent-based systems and deploying them into engineering workflows.
• Must-have: Strong software engineering skills in Python, C++, Go, or similar; experience building scalable, secure, modular systems.
• Must-have: Experience integrating LLMs with external systems and APIs; solid understanding of API development and tool integration.
• Must-have: Practical experience with orchestration frameworks (e.g., LangChain, AutoGen, CrewAI) or similar graph-based agent architectures.
• Nice-to-have: Familiarity with Model Context Protocol (MCP) or similar tool-calling frameworks.
• Nice-to-have: Foundational exposure to silicon IP design and verification workflows, Verilog/SystemVerilog, and common EDA tools (Synopsys, Cadence, Siemens).
• Nice-to-have: Experience with Linux-based development environments and knowledge-graph or RAG pipeline implementation.

Education Requirements

Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.

About the Company

Company: Advanced Micro Devices

Headquarters: Sunnyvale, California, USA

Advanced Micro Devices, or AMD, is a global semiconductor company that designs and manufactures microprocessors, graphics processors, and related technologies for a variety of computing devices. Known for pushing the boundaries of innovation, AMD's mission is to deliver high-performance computing solutions for AI, data centers, gaming, and embedded applications. They foster a collaborative, inclusive culture focused on creativity and problem-solving, aiming to drive progress and excellence in technology.