Advanced Micro Devices, Inc

GenAI Software Development Engineer

Advanced Micro Devices, Inc • $145K — $175K *
Santa Clara, CA 95051In-Person
Information Technology
Less than 5 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • 5-7 years of software development experience with a strong portfolio of production systems
  • Passion for building AI-native software and shipping LLM-powered systems
  • Experience with building retrieval-augmented generation (RAG) pipelines - embedding models, vector databases, reranking
  • Production experience in LLM tool use, orchestration, and context management
  • Strong proficiency in modern programming languages like Python, Go, or Java, with a preference for Python
  • Experience with async programming, API design, and distributed systems
  • Cloud infrastructure experience with AWS, Azure, or GCP for deploying production workloads

Responsibilities

  • Design and maintain the AI agent orchestration layer for multi-agent systems
  • Develop and enhance the RAG pipeline for document ingestion and knowledge graph indexing
  • Build intuitive web applications for engineers to interact with AI agents and validation workflows
  • Design and implement distributed services and APIs for AI workflows
  • Create scalable, low-latency AI services for metadata generation and knowledge retrieval
  • Construct LLM-powered tooling for automated testing and intelligent report generation
  • Collaborate with hardware and validation teams to translate requirements into software solutions

Benefits

  • Comprehensive medical, dental, and vision coverage
  • 401(k) plan with company matching
  • Flexible vacation and paid time off
  • Employee assistance program and wellness initiatives
  • Education assistance for continuous learning opportunities
Full Job Description
THE ROLE:

We are building a platform where autonomous AI agents run hardware validation campaigns, triage failures, and continuously grow a shared knowledge base - without a human in the loop. You will be a core engineer on this system, designing and building the LLM agent framework, RAG pipelines, MCP backend, and developer tooling that make it work. This role sits within the Global Cluster Engineering organization, where you will develop software that powers distributed infrastructure at global scale. This is an AI-native software engineering role: you will spend your time building multi-agent orchestration systems, retrieval-augmented generation pipelines, tool-use frameworks, and knowledge graph integrations. You do not need deep hardware domain knowledge - but intellectual curiosity about how firmware validation and network hardware works will help you build better tools for the engineers who do. We are hiring two Senior Software Engineers into this role; specific areas of ownership will be shaped by each person's strengths and interests.

THE PERSON:
  • Experience: software development experience, with a strong portfolio of production systems
  • AI-Native Development: Genuine passion for building AI-native software - you follow the field, have shipped real LLM-powered systems, and care about getting the details right (grounding, evaluation, failure modes, not just prompts)
  • RAG Systems: Hands-on experience building RAG pipelines - embedding models, vector databases, chunking strategies, retrieval evaluation, hybrid search, and reranking
  • LLM Engineering: Production experience with LLM tool use, multi-agent orchestration, prompt engineering, context management, and hallucination mitigation
  • Core Skills: Strong proficiency in one or more modern programming languages such as Python, TypeScript/Node.js, Go, Java, C#, or Rust, with demonstrated ability to build and operate production-scale services. Python experience is preferred due to the AI/ML ecosystem
  • Engineering excellence: Async programming, API design, distributed systems, clean code practices. Experience designing for reliability in automated/unattended environments - crash recovery, audit trails, state management, observability
  • Cloud Infrastructure: Experience with AWS, Azure, or GCP - infrastructure provisioning, managed services, networking, and deploying production workloads at scale
  • AI Tooling: Active use of AI coding assistants and LLM-powered developer tools (Claude Code, GitHub Copilot, Cursor, etc.) to accelerate development and problem-solving


KEY RESPONSIBILITIES:
  • Agent Orchestration: Design, build, and maintain the AI agent orchestration layer - multi-agent dispatch, context window management, anti-hallucination guardrails, progress tracking, crash recovery, audit trails, and inter-agent communication protocols
  • RAG Pipeline Development: Build and continuously improve the retrieval-augmented generation pipeline - document ingestion from Slack, GitHub, Jira, and Confluence; chunking and embedding strategies; hybrid vector + keyword search; cross-encoder and LLM-based reranking; knowledge graph indexing via LightRAG + Neo4j
  • Developer Experience & User Interfaces: Build intuitive web applications and developer experiences enabling engineers to interact with AI agents, knowledge systems, validation workflows, observability dashboards, and operational tooling. Experience building modern web applications using React, Next.js, Angular, Vue, or similar frameworks.
  • Backend Systems: Design and implement distributed services, APIs, event-driven architectures, and microservices powering AI workflows and platform integrations.
  • AI Services: Design and implement scalable, low-latency AI services powering metadata generation, feature extraction, and knowledge retrieval - ensuring agents have accurate, grounded context at query time
  • LLM-Powered Tooling: Build LLM-powered developer tooling - automated test plan generation, test case quality auditing, AI-driven failure triage, autonomous knowledge curation after every test run, and intelligent report generation
  • Agentic AI Deployment: Develop and deploy agentic AI solutions - autonomous agents, multi-agent orchestration frameworks, and LLM-powered workflows - that transform validation operations across hardware teams
  • Stakeholder Collaboration: Work closely with validation engineers, hardware teams, and engineering peers to translate business and domain requirements into flexible, well-designed software solutions
  • Security & Compliance: Ensure AI/ML systems comply with security standards and best practices, addressing data privacy and protection concerns across all LLM integrations, RAG pipelines, and credential-handling systems
  • End-to-End Ownership: Own features end-to-end - from project estimation and architecture review through coding, deployment, and post-launch measurement
  • Operational Excellence: Build resilient systems with strong observability; implement automated testing, monitoring, and CI/CD pipelines using infrastructure-as-code tools (Terraform); participate in on-call rotations and drive root-cause analysis and reliability improvements
  • Code Quality: Write clean, well-tested, maintainable code - other engineers and agents depend on what you build; quality directly affects system reliability
  • Onboarding: Collaborate with validation engineers to translate domain knowledge into agent skills and onboard new product teams onto the platform


PREFERRED EXPERIENCE:
  • Design and implement distributed services, APIs, event-driven architectures, and microservices powering AI workflows and platform integrations.
  • Experience with the Model Context Protocol (MCP) or agentic platforms (Claude Code, LangGraph, CrewAI, AutoGen)
  • Familiarity with knowledge graph systems (Neo4j, LightRAG) or graph-augmented RAG
  • Background in the semiconductor, datacenter, or networking industry - high-level understanding of how hardware validation or firmware development works
  • Experience with CI/CD systems and automated test infrastructure
  • Exposure to Slack API, GitHub API, or Atlassian REST APIs
  • Data Engineering & Analytics: Experience with data pipeline design, ETL workflows, data warehousing, or analytics platforms is a plus

ACADEMIC CREDENTIALS:

BS or MS Degree in Computer Science, Electrical Engineering, or related field

LOCATION:

Santa Clara

Austin or Seattle or Secaucus

This role is not eligible for Visa transfer or Sponsorship

#LI-KW1

Benefits offered are described: AMD benefits at a glance.

About Advanced Micro Devices, Inc

Advanced Micro Devices, Inc. Careers

Join the innovative forefront of technology with a career at Advanced Micro Devices, Inc. (AMD), a leader in semiconductor development. As part of our global team, you will contribute to an organization renowned for its dedication to innovation, leadership, and diversity in the tech industry.

Work You’ll Do

At AMD, we offer job opportunities that push the boundaries of what is possible. Our team is composed of professionals who lead the way in microprocessor and graphics technology, driving industry standards and innovation. With AMD, you will be part of a culture that values growth and professional development, ensuring that every team member has the opportunity to excel.

Transform Your Career

AMD is not just about advancing technology, but also about advancing careers. Whether you are looking for an internship, a full-time position, or leadership roles, AMD provides the platform to propel your career to new heights. Our commitment to professional growth is matched by our dedication to diversity and inclusion, making AMD a place where everyone can thrive.

Innovative Work Environment

Join a team of over 12,000 dedicated professionals at the intersection of technology, industry expertise, and digital innovation. At AMD, you will work on groundbreaking projects that shape the future of computing and graphics. Our collaborative environment encourages networking and the sharing of ideas across teams and disciplines.

Career Development and Benefits

AMD is committed to the development of its employees. We offer robust training programs, including leadership development and diversity training, to ensure our team is equipped for both current challenges and future opportunities. Our benefits package is designed to support the well-being and financial security of our employees and their families.

Explore Job Opportunities

From engineering to marketing, AMD offers a range of career paths that cater to diverse skills and interests. Our hiring process is designed to be transparent and engaging, helping you to understand where you fit within our team and how you can contribute to our collective goals.

Stay Connected

Join Our Team Search open positions that match your skills and interest. We look for passionate, curious, creative, and solution-driven team players. Explore the opportunities to join a company that’s committed to your career growth and to innovation in the technology sector.

Keep Up to Date

Stay ahead with career tips, insider perspectives, and industry-leading insights you can put to use today—all from the people who work here.

Job Alert Emails

Personalize your subscription to receive job alerts, latest news, and insider tips tailored to your preferences. Discover the exciting and rewarding career opportunities that await at Advanced Micro Devices, Inc.

Interview and Resume Tips

Prepare for your future with AMD by accessing resources that help you craft your resume and excel in interviews. Our goal is to help you showcase your best professional self and align your skills with the needs of our dynamic team. At Advanced Micro Devices, Inc., we empower our employees to innovate, lead, and grow. Join us in driving the future of technology while building a rewarding and sustainable career.
Learn more about Advanced Micro Devices, Inc
Size
15,500 employees
Market Cap
$100.9 billion
Industry
Manufacturing & Automotive
Net Income
$2.4 billion
Founded
1969
5 Year Trend
+30.9%
Revenue
$9.7 billion
NASDAQ
AMD
* Ladders Estimates

Similar Jobs

Ad banner background

Get Ready For Your
Next Interview

More Jobs at Advanced Micro Devices, Inc

More Information Technology Jobs

Find similar GenAI Software Development Engineer jobs:

NationwideSanta Clara, CA