AI Software Engineer

About the role

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Job Description:

Broadcom is seeking an experienced AI Software Engineer to integrate commercial AI tools and agents into an existing design flow.

- 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 getting products to market. 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

Qualifications:

- Education: Bachelor’s degree in Computer Science, 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 predictable schedules.

- Collaboration: 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

- Lean Approach: A clear understanding and application of the principle that "perfect is the enemy of good" in development and deployment cycles