Infrastructure AI/ML Engineer for Memory Design, Characterization, and Yield Optimization

Broadcom; Austin (TX); On-site; USD 151,000 - 241,000; Full time

Benefits offered by this job

Medical benefits

401(k) with company matching

Employee stock purchase program

Job summary

Broadcom, based in Austin, TX, seeks an Infrastructure AI/ML Engineer for memory design, characterization, and yield optimization. You will lead Agentic AI workflows that collaborate with memory designers and DFT experts to optimize performance, power, area, and yield.

You will architect distributed AI frameworks, deploy multi-agent executions across design phases, and integrate LLM-driven pipelines with EDA suites and internal tools. Strong Python/TCL, Docker, and Kubernetes skills are required.

Qualifications

• Experience designing and characterizing embedded memory in advanced tech nodes.
• Experience with multi-agent AI workflows and EDA toolchains.
• Proficiency in Python scripting and TCL for automation.

Responsibilities

• Architect and deploy distributed multi-agent AI frameworks for memory design workflows.
• Orchestrate autonomous agent executions across design, bring-up, and yield analysis.
• Integrate LLM pipelines with core EDA tools and enterprise data sources.
• Develop ML models to classify scan failures and relate to DFT structures.
• Model yield using high-dimensional data to predict excursions before assembly.

Skills

Memory design knowledge

Compute-in-memory

Python

TCL

Docker

Kubernetes

LangGraph

LLM orchestration

Tools

Synopsys tools

Cadence tools

Siemens EDA

SystemVerilog/UVM

Job description

Job Description

Infrastructure AI/ML Engineer for Memory Design, Characterization, and Yield Optimization

The Central Engineering Group is seeking an energetic, visionary, and passionate Infrastructure AI/ ML Engineer to lead the Agentic AI Infrastructure development workflow for memory design, characterization, and yield optimization. In this role, you will collaborate with memory designers and DFT experts to build Agentic AI workflows that drive the development of state-of-the-art embedded memories optimized for PPA, DFT, and yield.

Key Job Responsibilities

• Conceptualize, architect, deploy, and scale robust, distributed multi-agent AI frameworks tailored to transform intricate memory design workflows optimized for performance, power, area, and yield
• Orchestrate long-horizon, autonomous agent executions capable of managing multi-step reasoning, task decomposition, and decision-making across all phases of memory design development, silicon bring-up, and yield analysis
• Seamlessly integrate Large Language Model (LLM)-driven agent pipelines with core Electronic Design Automation (EDA) suites, custom in-house software tools, and enterprise data repositories.
• AI-Driven Debug: Develop and deploy ML models to automate the classification of scan failures (Chain, Stuck-at, Transition) and correlate them with design-for-test (DFT) structures.
• Predictive Yield Modeling: Integrate high-dimensional data—including Fab process parameters, PCM (Process Control Monitoring), and E-test data to predict yield excursions before they hit the assembly line.
• Partner collaboratively with Memory Design Leads, EDA Tool Specialists, and Infrastructure Engineers to distill complex, domain-specific hardware engineering methodologies into modular, goal-driven agentic workflows.
• Align AI workflow capabilities directly with organizational efficiency targets and technical milestones across the Central Engineering Group.

Required Skillset & Technical Competencies

Memory Design, Characterization and Yield Analysis

• Experience designing and characterizing embedded memory in advanced technology process nodes
• Experience in compute-in-memory design and architecture

AI Engineering & Multi-Agent Expertise

• Experience architecting production-grade LLM applications: multi-agent orchestration, function-calling/tool-use, and retrieval-augmented generation (RAG).
• Experience integrating agentic systems with enterprise tools, services, and knowledge sources - including building and consuming Model Context Protocol (MCP) servers, and packaging reusable agent capabilities (e.g., Agent Skills).
• Deep experience with agent orchestration frameworks such as LangGraph.

Semiconductor Domain Knowledge & EDA Tooling

• Fundamental grasp of chip design methodologies, IP block development lifecycles, and verification environments.
• Hands-on familiarity with industry-standard EDA tooling and frameworks from Synopsys, Cadence, and Siemens EDA, alongside System Verilog & UVM verification environments.

Software Engineering & Infrastructure Mastery

• High proficiency in core programming languages and system design concepts, specifically Python and TCL.
• Expertise in microservices architecture, REST APIs, Docker, Kubernetes, Sandboxing, and config-driven workflow orchestration engine design.

AI System Verification & Data Engineering

• Proven experience establishing evaluation metrics, testing benchmarks, and safety guardrails for non-deterministic AI systems in high-stakes environments.
• Technical depth in Vector Databases, and cloud-native containerized orchestration pipelines.

Compensation and Benefits

The annual base salary range for this position is USD 150,800.00 To USD 241,200.00

All subject to relevant plan documents and award agreements.

Broadcom offers a competitive and comprehensive benefits package: Medical, dental and vision plans, 401(K) participation including company matching, Employee Stock Purchase Program (ESPP), Employee Assistance Program (EAP), company paid holidays, paid sick leave and vacation time. The company follows all applicable laws for Paid Family Leave and other leaves of absence.

Broadcom is proud to be an equal opportunity employer.

We will consider qualified applicants without regard to race, color, creed, religion, sex, sexual orientation, national origin, citizenship, disability status, medical condition, pregnancy, protected veteran status or any other characteristic protected by federal, state, or local law.

We will also consider qualified applicants with arrest and conviction records consistent with local law.

If you are located outside USA, please be sure to fill out a home address as this will be used for future correspondence.