Manager Software Development

Amd

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$195,600–$293,400 / yr
Posted
11 days ago
Freshness
Confirmed live today
Closes
Oct 16, 2027

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $189k
This role $244k
$125k $311k
below market most similar roles pay here above market

This role pays more than 84% of similar roles. Most pay $160,325–$218,100 — the blue band above. At the midpoint, this role pays about $244k versus about $189k 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 496 open roles on FindRole.

Listed pay typically runs $172,000–$258,000 across 496 roles with salary data.

Most-posted roles

View all roles at Amd

At a glance

TL;DR · Manager Software Development

The Manager Software Development joins the Global Cluster Engineering organization to build a platform where autonomous AI agents run hardware validation campaigns, triage failures, and maintain a shared knowledge base. You will design and build the LLM agent framework, RAG pipelines, MCP backend, and developer tooling. Key responsibilities include developing multi-agent orchestration systems, retrieval-augmented generation pipelines, and knowledge graph integrations using Neo4j and LightRAG. You will utilize Python, TypeScript/Node.js, Go, Java, C#, or Rust to create distributed services, APIs, and microservices. The role requires expertise in vector databases, embedding models, and cloud infrastructure like AWS, Azure, or GCP. You will solve the technical problem of automating firmware validation and network hardware testing through agentic AI solutions and automated test plan generation.

What you'll do

  • Design and maintain the AI agent orchestration layer including multi-agent dispatch, context management, and anti-hallucination guardrails.
  • Build and improve RAG pipelines featuring document ingestion, chunking strategies, hybrid search, and knowledge graph indexing.
  • Develop scalable, low-latency AI services for metadata generation, feature extraction, and grounded knowledge retrieval.
  • Create LLM-powered developer tools for automated test plan generation, failure triage, and autonomous knowledge curation.
  • Design and implement distributed services, APIs, and microservices to power AI workflows and platform integrations.
  • Build web applications and developer interfaces for interacting with AI agents, validation workflows, and observability dashboards.
  • Own features end-to-end from architecture review and coding to deployment and post-launch measurement.
  • Ensure AI systems comply with security standards, data privacy, and credential-handling best practices.

What we're looking for

  • BS or MS Degree in Computer Science, Electrical Engineering, or a related field.
  • Experience in software development with a strong portfolio of production systems.
  • Experience leading and growing engineering teams, including hiring, mentoring, and setting technical direction.
  • 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, TypeScript/Node.js, Go, Java, C#, or Rust, with Python experience preferred.
  • Experience with cloud infrastructure (AWS, Azure, or GCP) and designing for reliability in automated environments.
  • Experience with the Model Context Protocol (MCP), agentic platforms, or knowledge graph systems (preferred).

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