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Direct message the job poster from EDA CAREERS, (Technology Futures Inc).
YOU MUST HAVE WORKING KNOWLEDGE OF EDA tools and Semiconductors!
PLEASE HAVE EDA/SEMICONDUCTOR EXPERIENCE WHEN APPLYING!
My client is a promising, innovative, well-funded startup backed by top-tier investors and trusted by major chip design companies and AI chip startups. They operate at the cutting edge of AI and semiconductor design. They are seeking an experienced Design Verification Engineer with expertise in UVM.
Their focus is on building verification platforms using LLMs to automate and accelerate chip development. The team comprises experts in AI, software development, and semiconductor design. Their platform is deployed across Fortune 100 companies and leading design teams. You will join a small, elite team solving complex chip verification challenges by integrating traditional methods with generative AI.
Their mission is to significantly accelerate silicon development, reducing costs, time, and engineering efforts for top chip teams. Their customers include Qualcomm, Nvidia, Google, Meta, and the Allen Institute for AI, along with over ten innovative startups. Their backers include Khosla Ventures, Cerberus, and Clear Ventures. The founders have impressive backgrounds, making this a promising venture.
Job Description:
They seek skilled Verification Engineers or Chip Designers with substantial experience in VLSI front-end design flows, especially UVM, to work closely with ML and software teams. In this role, you will apply LLMs for DV, working on advanced technologies that blend your verification expertise with ML for innovative chip design solutions. You will learn from experienced ML leads and contribute directly to customer projects.
This role is ideal for a chip designer eager to explore AI-integrated semiconductor design. It offers a chance to make a significant impact by pioneering this new approach to chip design.
Your Role:
As a UVM Specialist, you will develop, refine, and deploy UVM testbenches within an AI-enhanced verification environment. You will collaborate with ML and software engineers to guide LLMs in automating the DV process, support customer deployments, and shape the future of chip verification.
Key Responsibilities:
Qualifications:
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