Senior GPU Architect, Deep Learning

About the role

The NVIDIA GPU Architecture group is seeking a Senior GPU & Deep Learning Architect to join and lead various architecture efforts. Key responsibilities include designing new hardware features for deep learning workloads, advancing parallel computation, and interacting with researchers to build simulators and validate new architectural features.

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.

Requirements

• 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.

Qualifications

• Must be legally authorized to work in the United States without need for employer sponsorship, now or in the future.
• NVIDIA is an Equal Opportunity Employer.

Benefits

• Base salary range: $184,000 - $287,500 for Level 4, and $224,000 - $356,500 for Level 5.
• Eligible for equity and benefits.

Pay

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

Schedule

Not specified.

Skills

• Experience with deep learning frameworks and algorithms.
• Knowledge of parallel programming models and architectures.
• Experience with hardware simulation and validation tools.
• Ability to work in a fast-paced, collaborative environment.

Benefits

• Flexible work schedule.
• Comprehensive health and wellness programs.
• Professional development opportunities.
• Employee referral bonuses.

Application Instructions

Applications for this job will be accepted at least until January 13, 2026.