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Platform Architecture Engineer, GeForce NOW

NVIDIA· Engineer, Sys SW
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Santa Clara, CA$184k - $287.5kfull-timePosted 7mo ago

About the role

GeForce NOW platform engineering role focused on designing next-generation cloud infrastructure for AI workloads and gaming, with emphasis on performance, power, and cost optimization across CPU/GPU architectures and cloud deployments.

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.

Qualifications

  • 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.

Skills

Required:CPU/GPU performance analysis

Benefits

  • equity
  • benefits (as referenced)
Last updated Jul 3, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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