Looking for developer who can work on below requirment . Lead design and implementation of GPU computers for deep learning; optimize algorithms and mentor team Must have key skills cuda,c++,Gpu Programming Other key skills Parallel Computing,Opengl,Opencl Job description What you’ll do CUDA is a must JD For Senior / Lead Engineer (HPC GPU):- As a Senior / Team Lead (HPC) you will provide leadership in designing and implementing groundbreaking GPU computers that run demanding deep learning, high-performance computing, and computationally intensive workloads. We seek an expert to identify architectural changes and/or completely new approaches for accelerating our deep learning models. As an expert, you will help us with the strategic challenges we encounter, including compute, networking, and storage design for large scale, high-performance workloads, effective resource utilization in a heterogeneous computing environment, evolving our private/public cloud strategy, capacity modelling, and growth planning across our products and services. As an architect you are responsible for converting business needs associated with AI-ML algorithms in to a set of product goals covering workload scenarios, end user expectations, compute infrastructure and time of execution; this should lead to a plan for making the algorithms production ready Benchmark and optimise the Computer Vision Algorithms and the Hardware Accelerators for performance and quality KPIs. Optimize algorithms for optimal performance on the GPU tensor cores. Collaborate with various teams to drive an end to end workflow from data curation and training to performance optimization and deployment. Mentor and manage the reporting team.