Senior System Software Engineer, Platform and Performance - GeForce Now

Reposted 8 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
224K-357K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design, develop, and optimize high-performance GeForce NOW gaming servers and platform software. Optimize game performance, Linux kernel and user-space interactions, KVM virtualization, system software, and CPU/GPU scheduling at scale. Apply knowledge of gaming workloads, hardware-software interactions, operating-system internals, memory management, and computer architecture to improve cloud gaming performance and stability.
Summary Generated by Built In

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 https://www.nvidia.com/en-us/geforce-now


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 other objective job-related factors. The expected base salary range for this position 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 November 3, 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.

Skills Required

  • Bachelor’s, master’s, or doctoral degree in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field, or equivalent experience
  • 12 or more years of experience in system software engineering for platform performance
  • Knowledge of operating system kernel internals, memory management, computer architecture, and CPU-to-memory architecture
  • Proficiency in Python, C, C++, or Rust
  • Experience with performance-critical software, performance tools, and CPU/GPU schedulers
  • Passion for software design and optimizing software performance
  • Excellent knowledge of x86 and ARM architecture
  • Experience with hypervisors, game engines, or virtualization platforms
  • Experience with GPUView, Kubernetes, Nvidia Nsight, KernelShark, or similar tools
  • Proficiency in debugging complex problems

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility — Feedback suggests equity grants, stock options/RSUs, and a discounted ESPP materially boost total compensation and can deliver significant wealth-building when the stock performs well.
  • Healthcare Strength — Feedback suggests medical, dental, and vision plans with in-network preventive care at 100%, telehealth, and concierge-style support are comprehensive and valued.
  • Parental & Family Support — Feedback suggests up to 22 weeks fully paid parental leave, fertility coverage, and adoption/surrogacy reimbursement provide strong family-focused benefits.

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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