Senior Deep Learning Performance Architect

Job Description

NVIDIA is seeking a Senior Deep Learning Performance Architect to help analyze and develop next-generation architectures for AI and high-performance computing applications.

Requirements

• MS or PhD in Computer Science, Computer Engineering, Electrical Engineering or equivalent experience
• 6+ years of meaningful work experience
• Strong background in GPU or Deep Learning ASIC architecture
• Experience with performance modeling, architecture simulation, profiling, and analysis
• Solid foundation in machine learning and deep learning
• Strong programming skills in Python, C, C++

Responsibilities

• Develop innovative architectures for deep learning performance and efficiency
• Analyze performance, cost, and power trade-offs
• Understand the interplay of hardware and software architectures
• Develop and analyze deep learning frameworks, libraries, and compilers
• 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