Note: The job is a remote job and is open to candidates in USA. NVIDIA is a leading technology company known for its innovation in graphics and parallel computing. They are seeking a Senior GPU & Deep Learning Architect to enhance GPU architecture for deep learning workloads and collaborate with top architects and researchers in the field.

Responsibilities

• Design new hardware features for future processing architectures targeted at deep learning workloads, for both training and inference
• Advance the state of parallel computation
• Be knowledgeable about future parallel programming models and their impact to hardware
• Develop software for various hardware simulators, test infrastructures or metrics systems including databases
• Work in a team to document, design, develop tools to analyze and simulate, validate, and verify functional or performance models
• Develop tests, testplans, and testing infrastructure for new graphics or parallel processing architectures
• Be hungry to learn and work on simulators, RTL and real silicon

Skills

• MS in Computer Science, Electrical Engineering or Computer Engineering or equivalent experience
• Experience in working with hardware targeted at deep learning, or working on mapping deep learning algorithms to hardware
• 8+ years of relevant industry experience in GPU or other parallel programming architectures (or other equivalent experience)
• Strong programming ability in C, C++, Perl and Python
• Background in computer architecture, parallel processing, signal processing and/or high performance computing
• Knowledge of state of the art in DL algorithms and attention mechanisms is a huge plus

Benefits

• You will also be eligible for equity and benefits.

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