Sr. AI/ML Engineer

Job Title

Sr. AI/ML Engineer

Role Summary

Build, scale, and deploy an AI-assisted silicon design framework that accelerates the specification-to-netlist lifecycle. The role sits at the intersection of production software engineering, AI orchestration, and hardware infrastructure and partners closely with IP and SoC teams to deliver production-grade engineering solutions.

Primary location: Austin, TX; hybrid arrangements available.

Experience Level

Senior level. (Title indicates senior; no explicit years-of-experience stated.)

Responsibilities

Deliver production-ready AI-driven tooling and infrastructure to support silicon IP and SoC development:

• 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 and state management, and error handling for complex engineering tasks.
• Implement and scale hybrid retrieval systems (RAG pipelines, knowledge graphs) to ground agents in hardware specifications and protocols.
• Build closed-loop automation that interprets compiler and EDA tool outputs (lint, simulation) for iterative design refinement.
• Integrate LLMs with external tools and infrastructure using Model Context Protocol (MCP) and custom APIs with secure, low-latency interfaces.
• Partner with IP and subsystem teams to incorporate AI-driven workflows into existing silicon development processes.
• Establish automated evaluation and validation pipelines for correctness, synthesis readiness, and power/performance/area (PPA) targets.

Requirements

Must-have technical skills and constraints:

• Production experience developing AI/LLM applications and agent-based systems.
• Hands-on experience with orchestration frameworks such as LangChain, AutoGen, CrewAI, or similar.
• Strong API development skills and experience integrating LLMs with external systems and tooling.
• Practical experience with Linux-based development environments and interacting with EDA tools.
• Strong software engineering in Python, C++, Go, or similar; experience building scalable, secure, modular systems.
• Experience building low-latency infrastructures and secure integrations for model/tool calls; familiarity with MCP preferred.
• Proven ability to collaborate with hardware/IP teams and deliver auditable, deterministic workflows with robust error handling.
• This role is not eligible for visa sponsorship.

Nice-to-have:

• Foundational understanding of silicon IP design and verification workflows (exposure to Verilog/SystemVerilog or digital design concepts).
• Familiarity with specific EDA vendors (Synopsys, Cadence, Siemens) and hardware toolchains.
• Experience with knowledge graphs, retrieval systems, and automated evaluation frameworks.

Education Requirements

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field (as stated in the posting).

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.