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

Posted Yesterday
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3 Locations
In-Office
151K-241K Annually
Expert/Leader
Software • Semiconductor • Manufacturing
The Role
Lead the architecture, deployment, and scaling of agentic AI infrastructure for embedded memory design, characterization, DFT, silicon bring-up, and yield optimization. Develop multi-agent LLM workflows, integrate AI systems with EDA tools and enterprise data, automate scan-failure analysis, build predictive yield models, and establish evaluation, testing, and safety guardrails. Collaborate with memory designers, DFT experts, EDA specialists, and infrastructure engineers to deliver production-grade AI engineering solutions.
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Job Description:

Infrastructure AI/ML Engineer for Memory Design, Characterization,

and Yield Optimization


Job Description

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.


Minimum Education & Experience Qualifications

● Experience: 15+ years of progressive, relevant experience in Memory design, DFT, Silicon Yield Analysis, software architecture and AI systems engineering.

● Education: Master’s degree or Ph.D. in Electrical Engineering or Computer Engineering.


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

As a valued member of our team, you'll be eligible for a discretionary annual bonus and the opportunity to receive not only a competitive new hire equity grant, but also annual equity awards, connecting your success directly to the company's growth. 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.

Skills Required

  • 15+ years of progressive, relevant experience in memory design, DFT, silicon yield analysis, software architecture, and AI systems engineering
  • Master's degree or Ph.D. in Electrical Engineering or Computer Engineering
  • Experience designing and characterizing embedded memory in advanced technology process nodes
  • Experience in compute-in-memory design and architecture
  • Experience architecting production-grade LLM applications, including multi-agent orchestration, function calling/tool use, and RAG
  • Experience integrating agentic systems with enterprise tools, services, and knowledge sources
  • Experience building and consuming MCP servers and packaging reusable agent capabilities
  • Deep experience with LangGraph or similar agent orchestration frameworks
  • Understanding of chip design methodologies, IP block development lifecycles, and verification environments
  • Hands-on familiarity with Synopsys, Cadence, and Siemens EDA tooling and SystemVerilog/UVM verification environments
  • High proficiency in Python and TCL
  • Expertise in microservices, REST APIs, Docker, Kubernetes, sandboxing, and configuration-driven workflow orchestration
  • Experience establishing evaluation metrics, testing benchmarks, and safety guardrails for non-deterministic AI systems
  • Technical depth in vector databases and cloud-native containerized orchestration pipelines

Broadcom Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Broadcom and has not been reviewed or approved by Broadcom.

  • Equity Value & Accessibility — Equity is used broadly through RSUs with quarterly or annual vesting, and an ESPP with a discount and look‑back that can add meaningful upside. Company disclosures show ongoing equity grants, including inducement RSUs tied to acquisitions, underscoring equity’s central role in total rewards.
  • Retirement Support — A 401(k) plan with a competitive company match and immediate vesting is consistently highlighted, supporting long‑term savings. Tax‑advantaged accounts like HSA/FSA further strengthen the financial wellness toolkit.
  • Pay Growth & Progression — Compensation ceilings in technical tracks are described as high, with wide ranges and very strong totals for experienced engineers. Sales compensation is also characterized as competitive, supporting attractive on‑target earnings.

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The Company
HQ: Palo Alto, CA
38,985 Employees
Year Founded: 1991

What We Do

Broadcom Inc. (NASDAQ: AVGO) is a global technology leader that designs, develops and supplies semiconductor and infrastructure software solutions.

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