AI-Driven Design Automation Engineer

OpenTalent; San Jose (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

AMD is shaping the future of chip design by building AI-powered engineering platforms that enable teams to access complex data through scalable pipelines and knowledge graphs. You will contribute to AI/LLM-driven features that transform how architects, designers, and verifiers interact with data.

The Design Automation Engineer will design backend systems, data models, and production-grade components, collaborating with software and hardware teams to accelerate CPU, GPU, and AI accelerator

Responsibilities

• Design, build, and maintain backend data pipelines that turn engineering data sources into structured, quarriable representations
• Design and evolve data schemas and queries to support new engineering data types and use cases at production scale
• Build and extend AI/LLM-based components that let engineers query and interact with engineering data using natural language
• Diagnose and fix reliability and performance issues in distributed batch-processing pipelines handling large volumes of data
• Design and implement new data pipelines to bring additional engineering data domains onto the platform
• Tune LLM-based components for accuracy, cost, and latency
• Own a TDD-driven development workflow using the team's version control and code review practices
• Collaborate with architecture, verification, and design teams to translate their data and workflow needs into platform capabilities

Job description

AMD is shaping the future of chip design by building AI-powered engineering platforms that enable teams to access complex data through scalable pipelines and knowledge graphs. You will contribute to AI/LLM-driven features that transform how architects, designers, and verifiers interact with data.

The Design Automation Engineer will design backend systems, data models, and production-grade components, collaborating with software and hardware teams to accelerate CPU, GPU, and AI accelerator