Job description

Please Note: 1. If you are a first time user, please create your candidate login account before you apply for a job. (Click Sign In > Create Account) 2. If you already have a Candidate Account, please Sign-In before you apply. Job Description: The Central Engineering Group is seeking an energetic, visionary, and passionate Agentic AI Architect to spearhead the design, deployment, and optimization of cutting-edge autonomous multi-agent AI architectures. In this strategic engineering role, you will be instrumental in revolutionizing IP block development and support workflows across complex semiconductor design phases. You will leverage state-of-the-art LLM orchestration, Model Context Protocol (MCP) integrations, and enterprise-grade verification frameworks to drive unprecedented efficiency, quality, and automation in hardware engineering environments. Experience: 10 years of progressive, relevant experience in software architecture, AI systems engineering, or semiconductor automation design. ● Education: Master’s degree or Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, or a closely related technical field. Key Job Responsibilities ● Autonomous Multi-Agent System Architecture & Scaling ● Conceptualize, architect, deploy, and scale robust, distributed multi-agent AI frameworks tailored to transform intricate semiconductor design workflows. ● Orchestrate long-horizon, autonomous agent executions capable of managing multi-step reasoning, task decomposition, and decision-making across all phases of chip development and IP block lifecycle management. ● Enterprise Tool Ecosystem Integration & Protocols ● 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. ● Drive standardized tool-use integration protocols, including the Model Context Protocol (MCP), ensuring seamless interoperability across heterogeneous software environments. ● Governance, Risk Mitigation & Safety Guardrails ● Formulate and implement comprehensive human-in-the-loop (HITL) review gates, deterministic verification logic, and safety guardrails to maintain zero degradation in IP quality ● Integrate end-to-end auditability, traceability, and operational safety for non-deterministic AI agent outputs within mission-critical hardware design routines. ● Advanced Context & Memory Engineering ● Architect and optimize persistent short-term and long-term memory architectures that empower autonomous agents to maintain contextual continuity. ● Enable agents to retain project state across iterative simulation regressions, complex debugging sessions, and hardware bring-up feedback loops. ● Cross-Domain Strategic Orchestration ● Partner collaboratively with 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 ● 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 129,400.00 To USD 207,000.00 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.

Requirements

Must-haves

If you are a first time user, please create your candidate login account before you apply for a job. (Click Sign In > Create Account)
If you already have a Candidate Account, please Sign-In before you apply.
The Central Engineering Group is seeking an energetic, visionary, and passionate Agentic AI Architect to
spearhead the design, deployment, and optimization of cutting-edge autonomous multi-agent AI
architectures. In this strategic engineering role, you will be instrumental in revolutionizing IP block
development and support workflows across complex semiconductor design phases. You will leverage
state-of-the-art LLM orchestration, Model Context Protocol (MCP) integrations, and enterprise-grade
verification frameworks to drive unprecedented efficiency, quality, and automation in hardware
engineering environments.
Experience: 10 years of progressive, relevant experience in software architecture, AI systems
engineering, or semiconductor automation design.
Education: Master’s degree or Ph.D. in Electrical Engineering, Computer Engineering, Computer
Science, or a closely related technical field.
Key Job Responsibilities
Autonomous Multi-Agent System Architecture & Scaling
Conceptualize, architect, deploy, and scale robust, distributed multi-agent AI frameworks
tailored to transform intricate semiconductor design workflows.
Orchestrate long-horizon, autonomous agent executions capable of managing multi-step
reasoning, task decomposition, and decision-making across all phases of chip
development and IP block lifecycle management.
Enterprise Tool Ecosystem Integration & Protocols
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.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aillmpythonrestdockerkubernetes

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)