Infrastructure AI/ML Engineer for Memory Design, Characterization, and Yield Optimization
Broadcom24 hours ago
Base Salary
$151k - $241k/yr
Responsibilities
- Architect, deploy, and scale distributed multi-agent AI frameworks for memory design workflows optimized for performance, power, area, DFT, and yield.
- Develop autonomous agent workflows for multi-step reasoning, task decomposition, decision-making, memory design development, silicon bring-up, and yield analysis.
- Integrate LLM-driven agent pipelines with EDA suites, in-house software tools, enterprise services, and data repositories.
- Develop ML models to classify scan failures and correlate them with design-for-test structures.
- Build predictive yield models using Fab process parameters, PCM data, and E-test data.
- Collaborate with memory designers, DFT experts, EDA specialists, and infrastructure engineers to convert hardware methodologies into modular agentic workflows.
- Establish evaluation metrics, testing benchmarks, and safety guardrails for non-deterministic AI systems in high-stakes environments.
Requirements
- 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 and with compute-in-memory design and architecture.
- Experience architecting production-grade LLM applications using multi-agent orchestration, function calling or tool use, and retrieval-augmented generation.
- Experience integrating agentic systems with enterprise tools, services, and knowledge sources, including building or consuming MCP servers and packaging reusable agent capabilities.
- Deep experience with LangGraph or similar agent orchestration frameworks.
- Knowledge of chip design methodologies, IP block development lifecycles, verification environments, and industry-standard EDA tooling from Synopsys, Cadence, and Siemens EDA.
- Familiarity with SystemVerilog and UVM verification environments.
- High proficiency in Python and TCL, with expertise in software architecture and system design.
- Experience with microservices, REST APIs, Docker, Kubernetes, sandboxing, and configuration-driven workflow orchestration engines.
- Experience with AI system evaluation, testing benchmarks, safety guardrails, vector databases, and cloud-native containerized orchestration pipelines.
Benefits
- Annual discretionary bonus and competitive new-hire and annual equity awards, subject to applicable plan documents and agreements.
- Medical, dental, and vision plans.
- 401(k) participation with company matching.
- Employee Stock Purchase Program and Employee Assistance Program.
- Company-paid holidays, paid sick leave, vacation time, and legally applicable paid family and other leaves of absence.
Tech Stack
Categories
About Broadcom
Broadcom builds semiconductors and infrastructure software used in networking, wireless, broadband, storage, data centers, and enterprise IT. It sells chipsets to OEMs and cloud providers and licenses/subscribes infrastructure software for mainframe, cybersecurity, and private cloud environments. Headquartered in Palo Alto, it is a public company (NASDAQ: AVGO) and expanded its software portfolio by acquiring VMware in 2023.