[Remote] Senior Deep Learning Performance Architect

Note: The job is a remote job and is open to candidates in USA. NVIDIA is seeking a Senior Deep Learning Performance Architect to analyze and develop next-generation architectures that accelerate AI and high-performance computing applications. The role involves developing innovative hardware architectures, benchmarking AI workloads, and collaborating with architecture teams to guide product development.

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

Skills

• 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++
• 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
• Have a curious demeanor with excellent problem-solving skills

Benefits

• You will also be eligible for equity and benefits.

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