Senior GPU Architect, Deep Learning

NVIDIA; Durham (NC); On-site; USD 184,000 - 356,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is hiring a Senior GPU & Deep Learning Architect in Durham, North Carolina. This role involves designing new hardware features aimed at deep learning workloads and advancing the state of parallel computation. Candidates should have a Master's degree in Computer Science or related fields, and at least 8 years of experience in GPU or related architectures. The salary ranges from $184,000 to $356,500 based on experience and level. Equity and benefits are also offered.

Qualifications

• 8+ years of relevant industry experience in GPU or parallel programming architectures.
• Strong programming ability in C, C++, Perl, and Python.
• Experience with hardware targeted at deep learning or mapping deep learning algorithms to hardware.

Responsibilities

• Design new hardware features for future processing architectures for deep learning.
• Advance parallel computation.
• Develop software for various hardware simulators and testing infrastructures.

Skills

C

C++

Perl

Python

Parallel processing

Deep learning

Education

MS in Computer Science or equivalent experience

Job description

We are now looking for a Senior GPU & Deep Learning Architect! The NVIDIA GPU Architecture group is looking for world class architects and software developers to join and lead our various architecture efforts. A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields delivering the highest performance in the world for deep learning and parallel processing algorithms. We are constantly looking for ways to improve our GPU architecture, especially for deep learning workloads, both training and inference, and maintain our leadership by developing new parallel programming models, and new architectures required to make this successful. In this position, you will be responsible for developing and enhancing various features in the GPU architecture that advance the state of the art in parallel programming models or parallel computing performance. You would interact with other world‑class architects and researchers to build simulators, map deep learning workloads to current and future hardware, and validate new architectural features.

What You'll Be Doing

• 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 and 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.

What We Need To See

• 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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.