We are seeking a Senior ASIC Automation Engineer to enhance design infrastructure and automation for complex GPU modules. You will define the hardware compartmentalization strategy, build scalable flows, and apply AI-driven automation to improve efficiency and reliability.
What you'll be doing:
Own IP-level compartmentalization within the GPU Memory Sub-System, ensuring smooth integration and clear, well-defined interfaces between modules.
Work with front-end IP and integration teams on infrastructure, build, and flow topics, resolving flow-related issues across the design.
Identify and define metrics/KPIs to measure build dependencies between units/compartments, and use these insights to drive flow and infrastructure improvements.
Develop and maintain tools and automation flows to reduce manual effort and improve team productivity.
Apply AI techniques (e.g., agents, prompt engineering, workflow orchestration) to diagnose issues and enhance design and verification workflows.
What we need to see:
Master’s degree or equivalent experience in Electrical/Computer Engineering or a related field.
3+ years of experience.
Strong experience with build/flow automation and solid skills in industry-standard scripting languages (e.g., Python, Perl, Makefile or similar).
Solid understanding of ASIC/SoC concepts and front-end design or verification flows, with a focus on automation and efficiency.
Proven experience in process automation or efficiency improvement, able to identify bottlenecks and propose practical, data-driven solutions.
Excellent communication skills; strong spoken English and effective cross-team collaboration are significant pluses.
Ways to stand out from the crowd:
Experience building or using AI agents for engineering workflows, including prompt engineering.
Familiarity with dependency management or foundational concepts in large hardware development projects.