Gen AI Software Development Engineer

Amd

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Santa Clara, CAAustin, TXSeattle, WASecaucus, NJ
Salary
$204,000–$306,000 / yr
Posted
25 days ago
Freshness
Confirmed live yesterday
Closes
Sep 28, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $197k
This role $255k
$130k most similar roles pay here $325k

This role pays more than 93% of similar roles. Most pay $157,425–$235,750 — the shaded band above. At the midpoint, this role pays about $255k versus about $197k for comparable roles.

Based on 240 similar postings.

Employer

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 367 open roles on FindRole.

Listed pay typically runs $166,400–$249,600 across 367 roles with salary data.

Most-posted roles

View all roles at Amd

At a glance

TL;DR · Gen AI Software Development Engineer

Gen AI Software Development Engineer joins the Global Cluster Engineering team to build a platform where autonomous AI agents perform hardware validation campaigns, triage failures, and maintain a shared knowledge base. This role involves designing and building LLM agent frameworks, RAG pipelines, MCP backends, and developer tooling for distributed infrastructure. You will develop multi-agent orchestration systems, retrieval-augmented generation pipelines using vector databases and Neo4j, and tools for automated test plan generation and failure triage. The position requires proficiency in Python, TypeScript, Go, Java, C#, or Rust, along with experience in cloud infrastructure like AWS, Azure, or GCP. You will build web applications using React, Next.js, Angular, or Vue while ensuring system reliability through asynchronous programming and API design. The work focuses on automating hardware validation workflows and creating intelligent tools for engineers within the semiconductor and networking domains.

What you'll do

  • Design and maintain the multi-agent orchestration layer including context management, anti-hallucination guardrails, and crash recovery.
  • Build and optimize RAG pipelines involving document ingestion from Slack/GitHub, hybrid search, and knowledge graph indexing.
  • Develop backend distributed services, APIs, and microservices to power AI workflows and platform integrations.
  • Create LLM-powered developer tools for automated test plan generation, failure triage, and autonomous knowledge curation.
  • Build web applications and interfaces for engineers to interact with AI agents and observability dashboards.
  • Implement scalable, low-latency AI services for metadata generation and feature extraction.
  • Ensure all AI systems comply with security standards and data privacy protections across LLM integrations.
  • Manage the full software lifecycle from architecture review and coding to deployment and monitoring.

What we're looking for

  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
  • Experience developing production systems with a portfolio of high-quality software.
  • Hands-on experience building RAG pipelines including embedding models, vector databases, and retrieval evaluation.
  • Production experience with LLM tool use, multi-agent orchestration, prompt engineering, and hallucination mitigation.
  • Proficiency in Python (preferred), TypeScript/Node.js, Go, Java, C#, or Rust to build production-scale services.
  • Experience with cloud infrastructure (AWS, Azure, or GCP) including provisioning and deploying workloads at scale.
  • Experience building web applications using React, Next.js, Angular, or Vue.
  • Experience with MCP, agentic platforms, knowledge graphs, or the semiconductor/datacenter industries (preferred).

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