Senior Staff Software Engineer, AI Agentic Infrastructure & Systems

Amd

Hybrid

Quick summary

Work type
Hybrid
Location
CA
Posted
94 days ago
Closes
Apr 6, 2027

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Similar $210k
$151k most similar roles pay here $272k

This listing doesn't post a salary. Most similar roles pay $182,750–$236,900.

Based on 240 similar postings.

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About Amd

AMD (Advanced Micro Devices) is a semiconductor company that develops high-performance processors, graphics cards, and adaptive computing solutions for gaming, data centers, and embedded markets. Industry: Semiconductors

Amd currently has 56 open roles on FindRole.

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TL;DR · Senior Staff Software Engineer, AI Agentic Infrastructure & Systems

As a Senior Staff Software Engineer at AMD, you will join the AI Agentic Infrastructure & Systems team to develop high-autonomy agents that integrate seamlessly into system software development workflows. Your day-to-day responsibilities include architecting verification-driven agentic systems using LangChain and LangGraph for precise knowledge retrieval and complex state management, enabling autonomous execution with zero-touch provisioning and self-healing remediation capabilities. You will also benchmark and optimize agent performance using SWE-bench and LangSmith, ensuring top-tier recovery rates and efficient prompt/chain latency. Ideal candidates have expertise in AI agent architecture, system programming with C/C++ on Linux, and a strong understanding of verification-driven engineering principles. Experience with AMD Vitis or AIE programming is a plus, as is familiarity with hardware verification tools like JTAG and xbutil.

What you'll do

  • Design multi-agent collaboration strategies for high-quality engineering task output.
  • Build retrieval systems using LangChain to index and retrieve domain-specific knowledge.
  • Develop complex state machines using LangGraph to manage long-running coding tasks.
  • Create zero-touch provisioning systems enabling agents to autonomously set up runtimes.
  • Architect autonomous test synthesis engines to validate fixes in isolated CI/CD pipelines.

What we're looking for

  • Proficient in architecting autonomous AI agents using LangGraph, AutoGen, and LangChain.
  • Deep experience in C/C++ with expert knowledge of Linux, memory management, and interrupt handling.
  • Advanced user or developer of LLM-based agentic plugins like Cursor and Claude Code.
  • Experience in custom MCP Servers and Skills development.
  • Strong belief in "Verification as the Boundary" for complex engineering problems.
  • Lead evaluation of agentic performance using industry-standard benchmarks like SWE-bench.
  • Master's or PhD in Electrical Engineering, Computer Science, or related field.

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