Senior AI Test Architect

We are looking for an AI Test Architect joining E2E Verification group to profile Innovative large scale Distributed training on our AI End-to-End solutions in a large scale supercomputing clusters. Provide insights on at-scale system design and tuning mechanisms for large-scale compute runs. You will work with the latest Accelerated Computing and Deep Learning software and hardware platforms, with researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. You will interact with HPC, OS, Switch, HCA, CPU and GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms.

What youll be doing:

Profiling, benchmarking, and analyzing deep learning models to identify areas for optimization and improvement in terms of performance, efficiency, and accuracy, with a strong emphasis on networking aspects.

Collaborating closely with data scientists, researchers, development, automation teams t

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What we need to see:

B.Sc. in Computer Science, Software Engineering, or equivalent experience.

Strong understanding and practical experience with machine learning algorithms and techniques, with a specialization in deep learning and expertise in high-performance networking.

8+ years of overall experience, with CUDA programming for deep learning frameworks like TensorFlow, PyTorch, combined with expertise in networking libraries and protocols.

Ability to profile and optimize deep learning workflows, focusing on networking-related bottlenecks and optimizations, to improve overall performance and efficiency.

Exceptional analytical and problem-solving skill, with a keen attention to detail, particularly in identifying and resolving networking performance issues.

Excellent communication and collaboration skills, enabling effective teamwork and cooperation.

Familiarity with supercomputers, parallel computing, distributed systems, and high- performance networking technologies like RD