Platform Architecture Engineer, GeForce NOW

NVIDIA • Santa Clara, CA

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About The Position

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. You will be a part of NVIDIA GeForce NOW cloud team that allows users to play high-quality PC games on various devices, without the need for a dedicated gaming PC or console. NVIDIA's GeForce NOW service is built on top of our GPU technology, including our proprietary GPU architectures and software optimizations allowing efficient and high-quality gaming experience even at high resolutions. As an engineer on the GeForce NOW team, you will have the unique opportunity to contribute to the definition of the next generation cloud platform. You will be at the forefront of transforming the world of computer graphics and accelerated computing by harnessing the unlimited potential of AI.

Requirements

• To be successful in this role, you should have:
• Bachelors, Masters, PhD, or equivalent experience in relevant fields (Computer Engineering, Computer Science, Electrical Engineering, AI).
• 8+ years of experience in CPU or GPU performance, working on microarchitecture bottleneck analysis.
• Demonstrated expertise in conducting hardware power and performance analysis with an understanding of microarchitecture design trade-offs.
• Experience characterizing and optimizing AI, gaming and/or cloud workloads, including software and compiler-level optimizations.
• Strong programming skills in C, C++, Python, and scripting languages, with hands-on experience configuring, deploying, and running AI models.
• Good understanding of performance analysis methodologies, including code instrumentation, sampling, and roofline analysis
• Demonstrated problem-solving skills with a desire to explore new areas, identify gaps, and think creatively to develop solutions.
• Ability to analyze complex data, draw insightful conclusions, and form hypotheses to explain findings.
• Strong presentation skills, with the ability to communicate complex ideas and data concisely to various audiences.

Responsibilities

• Architect next-generation cloud infrastructure optimized for AI workloads alongside gaming
• Perform deep performance and power analysis of GPU/CPU microarchitecture features for AI inference and gaming workloads
• Deploy, optimize, and benchmark AI/gaming kernels in the cloud across various system configurations.
• Build models and tools to guide platform decisions balancing performance, power, and cost
• Present findings to cross-functional teams including product, engineering, and executives
• Collaborate with a team of highly skilled engineers, architects, and researchers, working together to successfully implement world-class solutions. Your work will directly impact the development of sophisticated computing systems and redefine the limits of what is possible.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level