Senior GPU Architect, Deep Learning, Senior GPU Architect, Deep Learning

NVIDIA; Durham (NC); On-site; USD 184,000 - 287,500; Full time

Benefits offered by this job

Equity benefits

Job summary

A leading technology company in North Carolina is seeking a Senior GPU & Deep Learning Architect to innovate in GPU architecture for deep learning workloads. This role involves designing hardware features, advancing parallel computation, and collaborating with experts. Ideal candidates will have an MS in a relevant field and 8+ years of experience in GPU architecture or parallel programming. A strong programming background in C, C++, Perl, and Python is essential. Competitive salary and equity benefits included.

Qualifications

• 8+ years of experience in GPU or parallel programming architectures.
• Experience with hardware for deep learning and mapping algorithms.
• Strong programming skills in C, C++, Perl, and Python.

Responsibilities

• Design hardware features for deep learning architectures.
• Advance parallel computation techniques.
• Develop software for hardware simulators and testing infrastructures.
• Collaborate on designs of validation and performance models.

Skills

C

C++

Perl

Python

Education

MS in Computer Science, Electrical Engineering, or Computer Engineering

Job description

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 innovation in graphics and parallel computing, delivering the highest performance in the world for deep learning and parallel processing algorithms. We constantly seek to improve our GPU architecture for deep learning workloads, both training and inference, and maintain our leadership by developing new parallel programming models and architectures necessary to achieve this success.

In this position you will develop and enhance various features in the GPU architecture that advance the state of the art in parallel programming and performance. You will collaborate with 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 on hardware.
• Develop software for hardware simulators, test infrastructures, or metrics systems, including databases.
• Collaborate to document, design, develop tools to analyze and simulate, validate, and verify functional or performance models.
• Develop tests, test plans, and testing infrastructure for new graphics or parallel processing architectures.
• Be eager to learn and work on simulators, RTL, and real silicon.

What We Need To See

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

Salary & Benefits

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 – \$287,500 for Level 4, and \$224,000 – \$356,500 for Level 5.

You will also be eligible for equity and other benefits.

Applications for this job will be accepted at least until December 8, 2025.

Equal Opportunity & Diversity

NVIDIA is committed to fostering a diverse work environment and is a proud 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.