Senior Deep Learning Performance Architect

Job Description

NVIDIA is looking for a Senior Deep Learning Performance Architect to develop innovative architectures and algorithms to accelerate AI and high-performance computing applications.

Requirements

• Masters Degree in Computer Science, Electrical Engineering, Computer Engineering, or related field
• 6+ years of experience or PhD with 3+ years of experience
• Strong foundation in Deep Learning model architectures and performance tradeoffs
• Experience with performance and energy modeling, power architecture, simulation, and profiling
• Strong programming skills in Python, C, C++
• Experience with DL accelerators and neural network training

Responsibilities

• Develop innovative architectures for deep learning performance and efficiency
• Prototype key deep learning algorithms and applications
• Analyze performance, cost, and energy trade-offs
• Characterize power and performance on silicon parts
• Collaborate with software, product, and research teams

Benefits

• Multiple relocation packages
• Two weeklong shutdowns (mid-summer and year-end) in the US (in addition to PTO)
• 8-week parental leave
• 9 Employee Resource Groups
• Annual bonus offering
• Flexible work arrangements
• Up to 6% 401K matching