Join NVIDIA, a company at the forefront of innovation, powering advancements in GPUs, AI, and parallel computing. We are a dynamic, 'learning machine' that tackles challenging problems and amplifies human creativity. As part of our diverse and supportive global team, you'll contribute to groundbreaking products, from consumer graphics to autonomous vehicles, and shape the future of computing.

This role offers a unique opportunity to impact product lines across various sectors. You will be immersed in a technology-focused environment, working with exceptional individuals dedicated to pushing the boundaries of what's possible and defining future computing platforms.

As a Senior Physical Design Methodology Engineer, you will be integral to our top-level timing closure flows. Your responsibilities will include managing physical design activities such as floorplanning, placement, clock tree synthesis (CTS), post-route optimization, static timing analysis (STA), EMIR analysis, IO timing, and ensuring ECO and DRC closure.

You'll collaborate closely with design teams to overcome complex challenges and mentor team members in debugging tool, flow, and design-related issues. A key aspect of this role involves continuously improving top-level timing optimization and closure flows to reduce turn-around time (TAT) and proactively addressing intricate design issues. Building efficient flows using industry-standard and custom EDA tools to enhance PPA and supporting chip design teams across various tapeouts and technology nodes will also be crucial. Furthermore, you will engage with EDA vendors to refine toolchains, fix bugs, and implement innovative solutions.

We are seeking candidates with a B.E./B.Tech./M.Tech. degree or equivalent experience, possessing at least 4 years of hands-on experience in Physical Design, with a strong preference for methodology and flow expertise. Proficiency in industry-standard RTL2GDSII implementation tools like ICC2/Innovus, Aspen, PrimeClosure, Tempus, and Seahawk is essential.

This role demands strong algorithmic thinking coupled with excellent automation skills using Python, TCL, and tool-specific scripting for leading Place & Route tools. The ability to multitask effectively, adapt to a global work environment, and exhibit strong analytical and problem-solving skills is vital. Excellent communication skills, a strong motivation to learn and master new techniques quickly, and a drive for innovation across teams and workflows are highly valued.