AI Software Engineer integrating commercial AI tools and agents into design flow at Broadcom. Responsible for optimizing performance and coordinating AI systems within a worldwide R&D team.
Responsibilities
Integrate commercial AI tools and agents into an existing design flow
Monitor and maintain AI systems to ensure they run smoothly and efficiently
Embed AI tools into daily operations to ensure they deliver measurable value
Coordinate multiple AI agents in a higher-level system to achieve overarching process control
Analyze key performance indicators, adjust parameters in real-time, and optimize resource usage to improve performance
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 user 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 access critical information and knowledge
Conduct training for end-users on AI-enhanced flows and establish best practices for maximizing productivity gains
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
Ability to cooperate and communicate effectively across a world-wide, multi-time zone team
Clear understanding and application of the principle that "perfect is the enemy of good" in development and deployment cycles
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