As NVIDIA makes inroads into the Datacenter business, our team plays a central role in getting the most out of our exponentially growing datacenter deployments as well as establishing a data-driven approach to hardware design and system software development. We collaborate with a broad cross-section of teams at NVIDIA ranging from DL research teams to CUDA Kernel and DL Framework development teams, to Silicon Architecture Teams. As our team grows, and as we seek to identify and take advantage of long-term opportunities, our skillset needs are expanding as well.
Do you want to influence the development of high-performance Datacenters designed for the future of AI Do you have an interest in system architecture and performance In this role, you will find how CPU, GPU, networking, and IO relate to deep learning (DL) architectures for Natural Language Processing, Computer Vision, Autonomous Driving, and other technologies. Come join our team, and bring your interests to help us optimize our next-generation systems and Deep Learning Software Stack.
What You'll Be Doing




- Help develop software infrastructure to characterize and analyze a broad range of Deep Learning applications.
- Evolve cost-effective datacenter architectures tailored to meet the needs of Large Language Models (LLMs).
- Work with experts to help develop analysis and profiling tools in Python, bash, and C++ to measure key performance metrics of DL workloads running on Nvidia systems.
- Analyze system and software characteristics of DL applications.
- Develop analysis tools and methodologies to measure key performance metrics and to estimate potential for efficiency improvement.

What We Need To See
- A Bachelor's degree in Electrical Engineering or Computer Science with 3 years or more of relevant experience (Masters or PhD degree preferred).
- Experience in at least one of the following:
- System Software: Operating Systems (Linux), Compilers, GPU kernels (CUDA), DL Frameworks (PyTorch, TensorFlow).
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📌 Deep Learning Engineer, Datacenters (Bengaluru)
🏢 NVIDIA
📍 Bengaluru