NVIDIA is seeking a talented GPU Floorplan design Engineer to design and implement the world’s leading GPU's as part of completely new team being built in Bangalore. This role sits at the intersection of architecture, RTL, performance analysis, and physical design, with a strong focus on path forward, early planning, feasibility studies, and physical trade-off exploration. This position offers you a unique opportunity to craft and to influence the design and development of the next generation GPU, allowing you to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of exceptional people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing.
What you will be doing:
Working with architects, design leads, physical design leads and package leads, you will develop and to craft and optimize floorplans during early chip development.
Drive the area review process and collaborate with the ASIC design team to identify area, interconnect and floorplan improvement opportunities.
Solve timing and routing congestion issues with physical and ASIC design teams by influencing early design and physical implementation decisions.
You will build tools and improve existing infrastructure to optimize chip area and speed of execution.
What we need to see:
B.Tech./ M.Tech. with 5+ years of experience in floorplan, SOC planning, ASIC Physical design or related roles.
A deep hardware engineering background with a concentration in VLSI and/or Computer Architecture.
Hands-on experience with chip-level or subsystem-level floorplanning and physical planning
Solid understanding of timing, congestion, power distribution, and physical constraints
Experience in Verilog, System Verilog or similar HVL.
Experience with CAD and physical design methodologies (flow and tool development), chip floorplan, power/clock distribution, packaging, P&R and timing closure.
Strong communication and interpersonal skills and ability & desire to work as a great teammate should be displayed in your interview.
Python, Perl and C/C++ programming language experience.
Ways to stand out from the crowd:
Experience in driving development of large scale ASIC floorplan is a huge plus.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. Our products are leading the way with groundbreaking developments in Artificial Intelligence, Autonomous Driving, High-Performance Computing and Visualization. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the fastest and most power efficient chips in their class? If so, we want to hear from you.
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NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
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What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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