Senior System Software Engineer, Platform and Performance

Job description

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! Visit us at nvidia.com 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. What you’ll be doing: • 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. What we need to see: • 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. Ways to stand out from the crowd: • 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. With a competitive salary package and benefits, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous Systems Software Engineer who loves challenges? Do you have a genuine passion for advancing the state of Computer Vision 3D across a variety of industries? If so, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 29, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Requirements

Must-haves

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.
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.
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.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until October 29, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonrustkubernetesai

Platform: eightfold
Effort: medium

Benefits

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