Senior Deep Learning Performance Architect

Job Description

NVIDIA is seeking a Senior Deep Learning Performance Architect to develop processor and system architectures that accelerate machine learning, data analytics, and high-performance computing applications.

Requirements

• Master's or PhD in Computer Science, Electrical Engineering or Computer Engineering, or equivalent experience
• 4+ years of relevant work or research experience
• Strong foundation in machine learning and deep learning fundamentals
• Background in high performance power efficient designs, energy efficient high performance computing, performance analysis and profiling
• Fluency in programming languages such as Python, C, C++
• Experience and familiarity with GPU computing and parallel programming models
• Work experience with analytical performance modeling, profiling, and analysis

Responsibilities

• Craft high performance energy efficient system and processor architectures for deep learning
• Prototype key deep learning and data analytics algorithms and applications
• Analyze trade-offs in performance, cost, and power developing analytical models, simulators, and test suites
• Collaborate across the company to guide the direction of machine learning

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