Senior GPU Architect - Deep Learning Hardware & Simulators

NVIDIA Corporation; Santa Clara (CA); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA’s GPU Architecture group seeks world-class architects and software developers to lead architecture efforts for deep learning workloads. You will help map DL workloads to hardware, develop simulators and validation tools, and push new parallel programming models and architectures for training and inference.

As a Senior GPU & Deep Learning Architect, you will collaborate with top researchers, design future hardware features, and contribute to real silicon projects while advancing parallel

Qualifications

• MS in Computer Science, Electrical Engineering or Computer Engineering or equivalent experience.
• 8+ years of relevant industry experience in GPU or other parallel programming architectures.
• 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.

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

C

C++

Python

Perl

GPU architectures

Parallel programming

Education

MS in Computer Science/EE/CE or equivalent

Job description

NVIDIA’s GPU Architecture group seeks world-class architects and software developers to lead architecture efforts for deep learning workloads. You will help map DL workloads to hardware, develop simulators and validation tools, and push new parallel programming models and architectures for training and inference.

As a Senior GPU & Deep Learning Architect, you will collaborate with top researchers, design future hardware features, and contribute to real silicon projects while advancing parallel