NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined up-to-date computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel.

NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work , to amplify human creativity and intelligence. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world. As part of this team, you would be working on projects that will help make our next generation visual computing, automotive, GPU, HPC systems better. You will get to work on high performance CPU and Memory sub-systems, Next-Gen GPUs , NOC based Interconnect Fabric etc.



Make the choice to join us today.

What you'll be doing:
- System level performance analysis/ bottleneck analysis of complex, high performance GPUs and System-on-Chips (SoCs).
- Work on hardware models of different levels of abstraction, including performance models, RTL test benches ,emulators and silicon to analyze performance and find performance bottlenecks in the system.
- Understand key performance use-cases of the product. Develop workloads and test suits targeting graphics, machine learning, automotive, video, compute vision applications running on these products.
- Work closely with the architecture and design teams to explore architecture trade-offs related to system performance, area, and power consumption.
- Develop required infrastructure including performance models, testbench components, performance analysis and visualization tools.
- Drive methodologies for improving turnaround time, finding representa

📌 Architect - GPU Performance (Bengaluru)
🏢 NVIDIA
📍 Bengaluru