Senior Deep Learning Systems Software Engineer - AI Infrastructure NVIDIA

5.0 - 9.0 years

0 Lacs

pune, maharashtra

On-site

As a senior engineer at NVIDIA, you will be at the forefront of groundbreaking developments in High-Performance Computing, Artificial Intelligence, and Visualization. Your role will involve understanding, analyzing, profiling, and optimizing deep learning workloads on cutting-edge hardware and software platforms. You will collaborate with cross-functional teams to enhance cloud application performance on diverse GPU architectures and identify bottlenecks for optimization. Your responsibilities will include building tools to automate workload analysis, optimization, and other critical workflows. You will drive platform optimization from hardware to application levels and design performance benchmarks to evaluate application efficiency. Your expertise in deep learning model architectures, Pytorch, and large-scale distributed training will be essential in proposing optimizations to enhance GPU utilization. To excel in this role, you should hold a Masters in CS, EE, or CSEE, or possess equivalent experience with at least 5 years in application performance engineering. Experience with large-scale multi-node GPU infrastructure, application profiling tools, and a deep understanding of computer architecture is required. Proficiency in Python and C/C++ for analyzing and optimizing application code is also crucial. Standing out from the crowd can be achieved through strong fundamentals in algorithms, GPU programming experience, and hands-on experience in performance optimization on distributed systems. An understanding of NVIDIA's server and software ecosystem, coupled with expertise in storage systems, Linux file systems, and RDMA networking will set you apart. Join NVIDIA, a leading technology company driving the AI revolution, and play a direct role in shaping the hardware and software roadmap while impacting deep learning users globally. If you are a creative and autonomous individual who is unafraid to push the boundaries of performance analysis and optimization, we invite you to be part of our innovative team. JR1986479,

Posted 1 month ago

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Deep Learning Systems Software Engineer NVIDIA

5.0 - 9.0 years

0 Lacs

pune, maharashtra

On-site

As a senior engineer at NVIDIA, you will play a crucial role in the optimization of deep learning workloads on cutting-edge hardware and software platforms. Your primary responsibility will be to understand, analyze, and profile these workloads to achieve peak performance. By building automated tools for workload analysis and optimization, you will contribute to enhancing the efficiency of GPU utilization and cloud application performance across diverse GPU architectures. Collaboration with cross-functional teams will be essential as you identify bottlenecks and inefficiencies in application code, proposing optimizations to drive end-to-end platform optimization. Your role will involve designing and implementing performance benchmarks and testing methodologies to evaluate application performance accurately. To qualify for this role, you should hold a Master's degree in CS, EE, or CSEE, or possess equivalent experience. With at least 5 years of experience in application performance engineering, you are expected to have a background in deep learning model architectures, proficiency in tools such as NVIDIA NSight and Intel VTune, and a deep understanding of computer architecture and GPU fundamentals. Proficiency in Python and C/C++ will be essential for analyzing and optimizing application code effectively. To stand out from the crowd, strong fundamentals in algorithms and GPU programming experience (CUDA or OpenCL) will be highly beneficial. Hands-on experience in performance optimization and benchmarking on large-scale distributed systems, familiarity with NVIDIA's server and software ecosystem, and expertise in storage systems, Linux file systems, and RDMA networking will further distinguish you as a top candidate. Joining NVIDIA means being part of a dynamic team that leads the AI revolution, offering you the opportunity to directly impact the hardware and software roadmap in a fast-growing technology company. If you are unafraid to tackle challenges across the hardware/software stack and are passionate about achieving peak performance in deep learning workloads, we want to hear from you.,

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Cloud Engineer ( HPC Storage ) Consult Asia

10.0 - 15.0 years

35 - 50 Lacs

Bengaluru

Work from Office

Deliver HPC storage solutions using NetApp and cloud storage, administer Linux systems, automate system tasks, and monitor performance in hybrid environments. Required Candidate profile Experienced in storage systems, Linux administration, cloud integration, and automation with strong troubleshooting skills.

Posted 2 months ago

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HPC Cloud Engineer ( Storage ) Consult Asia

7 - 12 years

20 - 35 Lacs

Bengaluru

Work from Office

Design and support NetApp-based HPC storage solutions across cloud and on-prem environments. Optimize performance and automate Linux-based storage systems for ML and compute-heavy workflows. Required Candidate profile Engineer with deep experience in NetApp ONTAP, Azure NetApp Files, Linux, storage performance tuning, and automation in HPC environments.

Posted 4 months ago

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