NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern 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 setting 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

What you'll be doing:
- Develop innovative HW architectures to extend the state of the art in parallel computing performance and energy efficiency.




- Benchmark and analyze AI workloads in single and multi-node configurations.
- Develop tools to profile, analyze and debug parallel applications in Python/C++.
- Work closely with peer architecture teams and product management to guide development of the products.
- Keep abreast with emerging trends and research in deep learning.

What we need to see:
- B.Tech. or M.Tech. in a relevant discipline (CS, EE, Math).
- 1+ years of experience in C, C++ and Python.
- Curious mindset with excellent problem-solving skills.

Ways To Stand Out From The Crowd:
- Familiarity with GPU computing and parallel programming.
- Understanding of modern transformer-based model architectures.
- Experience with architecture simulator development, performance modeling, profiling, and analysis.
LI-Hybrid

📌 Deep Learning Performance Architect (Bengaluru)
🏢 NVIDIA
📍 Bengaluru