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NVIDIA

Senior System Software Engineer - Platform and Performance

NVIDIA · Senior · Remote

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About The Role

GeForce NOW, NVIDIA's next-generation gaming service powered by GPUs in the cloud, transforms a Mac, PC or mobile device into a high-performance gaming rig. GeForce NOW automatically keeps games up-to-date and lets users around the globe instantly stream the latest games in high-definition resolution at low latency and smooth frame-rates. Just click and play! We are looking for a versatile person to join our group of highly skilled and motivated engineers who bring GeForce NOW to life! As a member of the GeForce Now Platform Engineering team, you will help design, develop, and optimize high performant GeForce Now gaming servers with state-of-the-art NVIDIA GPUs. Are you passionate about working in a cross functional environment that makes cloud game streaming better than desktop gaming? If so, we want to hear from you.

Key Responsibilities:

  • Game Performance optimization, Linux Kernel, KVM Hypervisor, System Software & optimization at scale
  • Understand and apply gaming workloads, streaming software for kernel and user space interactions.
  • Bridge the gap between software and hardware for a cloud streaming service.
  • Understand and apply the factors that influence the performance and stability of a game.

Requirements:

  • BS, MS, or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field, or equivalent experience.
  • 12+ years of experience in system software engineering for platform performance
  • Knowledge of OS kernel internals, memory management, computer architecture, CPU-to-Memory architecture
  • Proficiency in Python/C/C++/Rust
  • Experience working in performance critical software, tools, CPU/GPU scheduler.
  • Passionate about software design and optimizing software performance.

Nice To Haves:

  • Excellent knowledge in x86 and ARM architecture
  • Prior experience with hypervisors, game engines, virtualization platforms
  • Prior experience with tools like GPUView, Kubernetes, Nvidia Nsight, Kernel shark, etc.
  • Proficiency in debugging complex problems.

Benefits:

  • equity
  • benefits

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