Senior Deep Learning Performance Architect

Details

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 (CS, EE, Math) 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++.

Ways to stand out from the crowd

• 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.
• Curious demeanor with excellent problem-solving skills.

Benefits

You will be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. They do not discriminate in hiring or promotion practices based on legally protected characteristics.