GPU Architect Leader

6 days ago

Varanasi, Uttar Pradesh, India beBeeArchitect Full time ₹ 1,80,00,000 - ₹ 2,00,00,000

Job Title: Senior Architect

About the Role:
  • We are seeking a seasoned architect to lead the design and implementation of cutting-edge GPU computers that drive deep learning, high-performance computing, and computationally intensive workloads.
  • The ideal candidate will identify innovative architectural changes or new approaches to accelerate our deep learning models, ensuring they meet our demanding performance requirements.
  • This senior role involves providing strategic guidance on compute, networking, and storage design for large-scale, high-performance workloads, as well as developing plans to make AI-ML algorithms production-ready.
  • You will collaborate with cross-functional teams to drive end-to-end workflows from data curation and training to performance optimization and deployment.
Key Responsibilities:
  • Design and implement pioneering GPU architectures for deep learning and high-performance computing applications.
  • Develop and implement strategies to optimize deep learning models, leveraging expertise in computer architecture and numerical analysis.
  • Provide expert advice on compute, networking, and storage infrastructure design for large-scale, high-performance workloads.
  • Benchmark and optimize Computer Vision Algorithms and Hardware Accelerators for performance and quality KPIs.
  • Collaborate with various teams to drive successful project outcomes.
Requirements:
  • Master's degree or PhD in Computer Science, Electrical Engineering, or related field.
  • At least 7 years of experience in machine learning, deep neural networks, numerical analysis, performance analysis, model compression, optimization, and computer architecture.
  • Strong Data structures and Algorithms know-how with Excellent C/C++ programming skills.
  • Hands-on expertise with PyTorch, TensorRT, CuDNN, and other relevant technologies.
  • Proficient in Python programming and bash scripting.
  • Excellent communication and collaboration skills.
  • Self-motivated and able to find creative solutions to complex problems.

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