3 Gpuaccelerated Computing Jobs

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14.0 - 18.0 years

0 Lacs

karnataka

On-site

As the VP of Engineering, you will lead engineering, DevOps, and infrastructure teams to develop a robust and scalable cloud platform. You will collaborate closely with leadership to drive technical strategy, execute product roadmaps, and optimize cloud orchestration for GPUs, storage, and compute. Your role demands expertise in cloud-native architectures, networking, and large-scale distributed systems while effectively managing and mentoring teams. You will define and execute the engineering vision for the sovereign cloud and GPU-as-a-service platform. Architect and scale cloud infrastructure to ensure high availability, security, and performance. Keep abreast of emerging technologies in c...

Posted 1 month ago

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2.0 - 6.0 years

0 Lacs

jaipur, rajasthan

On-site

As a candidate for this position, you should hold a Bachelor's, Master's, or PhD degree in Computer Science, Artificial Intelligence, Data Science, or a related field, with a strong knowledge base in AI and machine learning technologies. You must have a minimum of 3 years of practical experience in the development and implementation of AI models, focusing on GPU-accelerated computing and LLMs. Your expertise should encompass various AI and machine learning technologies, including but not limited to TensorFlow, PyTorch, CUDA, and machine learning libraries optimized for GPU. A solid background in NLP, computer vision, predictive analytics, and other AI disciplines that enhance user experience...

Posted 1 month ago

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15.0 - 19.0 years

0 Lacs

maharashtra

On-site

As a Cisco Datacenter Engineer with expertise in HPC, AI/ML, and DevOps, you will play a crucial role in designing and optimizing high-performance computing environments, particularly tailored for AI/ML workloads. Your responsibilities will encompass managing HPC infrastructure, overseeing Cisco datacenter operations, configuring routing and switching systems, ensuring network security, optimizing Infiniband networking, and deploying Nvidia AI Enterprise software within enterprise environments. You will collaborate with DevOps teams to integrate automation and containerization technologies into HPC setups, monitor system performance, maintain documentation, and provide advanced technical sup...

Posted 3 months ago

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