Senior Cloud Gaming Systems Engineer (Kernel & Performance)

NVIDIA Corporation; Santa Clara (CA); Sur place; USD 224 000 - 357 000; Plein temps

Avantages offerts par ce poste

Equity

Benefits

Résumé du poste

NVIDIA Corporation seeks a seasoned Systems Software Engineer to join the GeForce Now Platform Engineering team. You will design, develop, and optimize high-performance GeForce Now servers leveraging state-of-the-art NVIDIA GPUs.

You will work in a cross-functional environment to optimize streaming performance at scale, bridging software and hardware for a cloud gaming service, and shaping kernel/user-space interactions with a focus on stability and efficiency.

Qualifications

• 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.

Responsabilités

• 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.

Connaissances

Kernel programming

Performance optimization

C/C++/Rust

Python

CPU/GPU scheduler

Formation

BS/MS/PhD in CS/EE or related

Outils

GPUView

Nvidia Nsight

Kubernetes

Kernel shark

Description du poste

NVIDIA Corporation seeks a seasoned Systems Software Engineer to join the GeForce Now Platform Engineering team. You will design, develop, and optimize high-performance GeForce Now servers leveraging state-of-the-art NVIDIA GPUs.

You will work in a cross-functional environment to optimize streaming performance at scale, bridging software and hardware for a cloud gaming service, and shaping kernel/user-space interactions with a focus on stability and efficiency.