Senior Deep Learning Performance Architect

About the role

NVIDIA is seeking outstanding Performance Analysis Architects to help analyze and develop the next generation of architectures that accelerate AI and high-performance computing applications.

Responsibilities

• Develop innovative HW architectures to extend the state of the art in parallel computing performance, energy efficiency and programmability.
• Benchmark and analyze AI workloads in single and multi-node configurations.
• Develop high level simulator and analysis tools in C++/Python.
• Evaluate PPA (performance, power, area) for hardware features and system-level architectural trade-offs.
• Work closely with peer architecture teams and product management to guide development of the products.
• Keep abreast with emerging trends and research in deep learning.

Requirements

• MS or PhD in a relevant discipline (Computer Science, Electrical Engineering, Computer Engineering, etc) or equivalent experience.
• 4+ years of experience in parallel computing architectures, interconnect fabrics and deep learning applications.
• Background in GPU or Deep Learning ASIC architecture evaluation for training and/or inference.
• Strong programming skills in Python and C++.

Qualifications

• Solid fundamental knowledge in computer architecture and interconnect fabrics.
• Understanding of modern transformer-based model architectures.
• Ability to simplify and communicate rich technical concepts to non-technical audience.
• A curious demeanor with excellent problem-solving skills.

Skills

• Knowledge of deep learning frameworks and models.
• Experience with GPU programming and optimization.
• Experience with simulation and analysis tools.
• Experience with hardware design and evaluation.

Benefits

Base salary range: $184,000 - $287,500. Eligible for equity and benefits.

Pay

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

Schedule

Not specified.

Contact Information

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