Memory AI/ML Infrastructure Lead — Equity

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

Benefits offered by this job

Discretionary bonus

Equity grants

Medical, dental, vision plans

401(k) with company match

Employee Stock Purchase Program (ESPP)

Job summary

Broadcom in Austin, Texas is seeking an Infrastructure AI/ML Engineer to lead Agentic AI workflows for memory design, characterization, and yield optimization. You will partner with memory designers and DFT experts to drive state-of-the-art embedded memory development optimized for PPA and yield.

The role requires 15+ years in memory design/DFT and AI systems engineering, with a Master’s or PhD in Electrical/Computer Engineering.

Qualifications

• 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.

Responsibilities

• Conceptualize, architect, deploy, and scale robust, distributed multi-agent AI frameworks for memory design and yield optimization.
• Orchestrate autonomous agent executions across memory design development, silicon bring-up, and yield analysis.
• Integrate LLM-driven agent pipelines with EDA tools, internal software and data repositories.
• AI-driven debug: classify scan failures and correlate with DFT structures.
• Predictive yield modeling using Fab params, PCM and E-test data to foresee yield excursions.
• Collaborate with Memory Design Leads, EDA Tool Specialists, and Infra Engineers to create modular workflows.
• Align AI workflow capabilities with efficiency targets and milestones.

Skills

Embedded memory design

Compute-in-memory

LLM apps

Multi-agent orchestration

Function-calling

RAG (retrieval-augmented generation)

LangGraph

Chip design methodologies

IP block lifecycles

Verification environments

Python

TCL

Microservices

REST APIs

Docker

Kubernetes

Sandboxing

Workflow orchestration

Evaluation metrics

Testing benchmarks

Safety guardrails

Vector databases

Cloud-native orchestration

Education

Master's degree in Electrical Engineering or Computer Engineering

Ph.D. in Electrical Engineering or Computer Engineering

Tools

Synopsys

Cadence

Siemens EDA

SystemVerilog

UVM

Job description

Broadcom in Austin, Texas is seeking an Infrastructure AI/ML Engineer to lead Agentic AI workflows for memory design, characterization, and yield optimization. You will partner with memory designers and DFT experts to drive state-of-the-art embedded memory development optimized for PPA and yield.

The role requires 15+ years in memory design/DFT and AI systems engineering, with a Master’s or PhD in Electrical/Computer Engineering.