Senior ASIC Methodology Engineer - LPU Division

About this role

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing

An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work

Come join the team and see how you can make a lasting impact on the world. This role exists to redefine how AI hardware is built by inventing the next wave of hardware development methodology. You will pioneer AI-driven and sophisticated automation techniques that transform how sophisticated ASICs are conceived, explored, and brought to closure

Working shoulder-to-shoulder with an outstanding ASIC development team, you will invent novel architectures and end-to-end workflows that transcend traditional infrastructure, unlocking new levels of capability across logic design, verification, and physical design. Join us as we drive towards the next generation of artificial intelligence technology! What you'll be doing: Take a comprehensive view of the ASIC development lifecycle, identifying cross-stage bottlenecks and opportunities where automation and AI can improve predictability, convergence, and turnaround time. Identify, curate, and leverage real-time data to enable effective AI models and analytics, working with infrastructure teams to ensure scalable and secure data pipelines

Establish quantitative metrics to measure efficiency, quality, and cycle-time improvements; use data-driven insights to guide methodology decisions and prioritize investments. Serve as a technical catalyst within both the team and the wider company by sharing best practices, publish

Apply for this role on NVIDIA’s official careers site.