NVIDIA is seeking a Senior Deep Learning Performance Architect to join their deep learning architecture team. This role focuses on developing high-performance, energy-efficient system and processor architectures that advance deep learning technologies. The architect will collaborate across various teams to influence the direction of machine learning and prototype key algorithms. This position offers the opportunity to make a significant impact in a dynamic and innovative environment.

• 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 and performance analysis.
• Fluency in programming languages such as Python, C, and C++.
• Experience with GPU computing and parallel programming models.
• Experience with analytical performance modeling, profiling, and analysis.

• 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 by developing analytical models and simulators.
• Analyze architecture performance and energy efficiency considering deep learning workloads.
• Collaborate across the company to guide the direction of machine learning.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.