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AI Operator

MSCCN - San Jose, CA

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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: About the Role: Broadcom is seeking an experienced AI Operator to integrate commercial AI tools and agents into our existing VLSI (Very Large-Scale Integration) frontend and backend design flows. + Monitor and maintain AI systems: Ensure AI systems are running smoothly and efficiently + Integrate AI into workflows: Responsible for embedding AI tools into daily operations across the organization to ensure they deliver measurable value + Coordinate AI agents: In a higher-level system, coordinate multiple AI agents to achieve an overarching process control + Optimize performance: Analyze key performance indicators, adjust parameters in real-time, and optimize resource usage to improve performance You will join a worldwide R&D team dedicated to developing high-performance ASICs for Artificial Intelligence (AI), networking, High-Performance Computing (HPC), and 5G base stations. This role is key to dramatically improving design productivity across the organization. Responsibilities: + Quickly analyze existing VLSI design systems and methodologies to identify opportunities for AI integration and productivity improvement + Develop and deploy commercial AI tools to enhance productivity within established design flows + Design and implement enhancements based on users feedback, without requiring ground-up rebuilds of existing infrastructure + Evaluate and compare commercial AI solutions to select the best-fit technology for specific design flow challenges + Select, clean, and preprocess data fed into commercial AI tools to ensure optimum output quality + Create and refine AI agents to improve the Quality of Results (QoR) from AI-generated outputs + Deploy AI agents to resolve common tool errors, minimizing human intervention and downtime + Develop intelligent chatbots to enable engineers to quickly access critical information and knowledge needed to complete their tasks + Conduct training for end-users on AI-enhanced flows and establish best practices for maximizing productivity gains + Proficiency integrating external tools for use with Large Language Model (LLM) agents and the MCP protocol + Experience integrating LLM models into existing tools/programming languages. Qualifications: + Education: Bacheloru2019s degree in Computer Science, Electrical Engineering, Computer Engineering, Applied Mathematics, or a related technical field + Experience: 8+ years of professional experience in AI/ML system development and deployment + Mindset: Proven ability to create pragmatic solutions that enable the end goal of

Created: 2025-12-05

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