NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation fueled by groundbreaking 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 GPUs power computers, robots, and autonomous vehicles that can understand and interact with the world. Achieving what has never been done before requires vision, innovation, and exceptional talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive workplace where everyone is inspired to do their best work. Join us and help make a lasting impact on the world.
The Clocks Design Methodology Team develops advanced clocking methodologies and custom CAD solutions to address the increasing complexity and scale of next-generation chips. As part of the NVQuartz Team, we build scalable tools and methodologies that enable heterogeneous hardware designs across NVIDIA's product portfolio, including SoCs, CPUs, GPUs, and Networking products.



Our mission is to improve engineering productivity, design quality, and scalability by developing innovative automation, validation frameworks, and methodologies used across the company.
What You'll Be Doing:
Own the validation of clocking methodology solutions for hardware clocking designs across multiple product lines.
Understand design requirements and develop robust validation strategies, automation, quality checks, debug infrastructure, bug fixes, and productization workflows.
Solve complex engineering problems by developing scalable methodology and automation solutions that work across multiple chip architectures.
Develop and maintain tools using C++, Python, Perl, Tcl, and NVIDIA's internal compilers, frameworks, and CAD infrastructure.
Partner closely with design, verification, architecture, and methodology teams to understand requirements and deliver high-quality tool capabilities.
Collaborate with Quality Assurance

📌 ASIC CAD Engineer, Clocks Methodology (Bengaluru)
🏢 NVIDIA
📍 Bengaluru