Senior System Software Engineer, Platform and Performance - GeForce Now

Posted 2 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 cloud gaming servers for GeForce NOW. Focus on game performance optimization, Linux kernel and KVM hypervisor work, system software at scale, kernel/user-space interactions, hardware/software bridging, and ensuring game 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 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 August 20, 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

  • BS, MS, or PhD in Computer Science, Electrical Engineering, Computer Engineering, or 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++, and Rust.
  • Experience working on performance-critical software, tools, and CPU/GPU schedulers.
  • Passion for software design and optimizing software performance.
  • Excellent knowledge of x86 and ARM architecture.
  • Prior experience with hypervisors, game engines, and virtualization platforms.
  • Experience with tools like GPUView, Kubernetes, Nvidia Nsight, Kernel Shark.
  • 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 Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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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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