AI Software Engineer

Broadcom•Fort Collins, CO

1d•Onsite

About The Position

Broadcom is seeking an experienced AI Software Engineer to integrate commercial AI tools and agents into an existing design flow. This role is key to dramatically improving design productivity across the organization. You will join a worldwide R&D team dedicated to getting products to market.

Requirements

Bachelor’s degree in Computer Science, Applied Mathematics, or a related technical field
8+ years of professional experience in AI/ML system development and deployment
Proven ability to create pragmatic solutions that enable predictable schedules.
Strong self-management and organizational skills, with a proven ability to cooperate and communicate effectively across a world-wide, multi-time zone team, including internal colleagues and external vendors
A clear understanding and application of the principle that "perfect is the enemy of good" in development and deployment cycles

Nice To Haves

Proficiency integrating external tools for use with Large Language Model (LLM) agents and the MCP protocol

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
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