Senior System Software Engineer - GPU SW

Posted Yesterday
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Santa Clara, CA, USA
In-Office
184K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Provides technical leadership for securing GPU kernel drivers, embedded software, and next-generation platforms. Designs and verifies security and systems features, conducts hardware and software security reviews, resolves complex low-level issues, and develops long-term security roadmaps. The role requires strong C programming, driver development, operating-system kernel knowledge, computer architecture expertise, and cross-functional leadership across hardware, software, and security teams.
Summary Generated by Built In

NVIDIA is seeking a Senior System SW Engineer with expertise in systems software, GPU drivers, embedded software, and platform security. You will provide technical leadership for security and architecture initiatives across production GPU kernel drivers, embedded software, and next-generation NVIDIA platforms.


You will strengthen the security, reliability, and performance of NVIDIA products across datacenter, gaming, and other compute markets. Working with hardware, software, and security teams, you will build secure, high-performance solutions from architecture through production.


What you’ll be doing:

  • Architect, design, implement, and verify security and systems features for GPU kernel drivers, embedded software, and next-generation GPU architectures.
  • Drive secure-design practices across code, development processes, and product architecture; lead adoption across partner engineering organizations.
  • Conduct software and hardware security reviews, identify vulnerabilities and architectural risks, and guide mitigation strategies.
  • Debug and resolve complex issues across drivers, operating-system kernels, embedded environments, hardware interfaces, and virtualization layers.
  • Balance security, reliability, and performance requirements for datacenter-scale and performance-sensitive inference & training workloads.
  • Define and execute long-term security roadmaps in collaboration with global software, hardware, and product teams.

What we need to see:

  • BS/MS in Computer Engineering, Computer Science, Electrical Engineering, or a related field—or equivalent experience
  • 8+ years in systems software, embedded development, or security engineering.
  • Experience securing low-level software, including operating-system kernels, device drivers, embedded systems, or platform software.
  • Strong C programming, low-level driver development, and system-level debugging skills.
  • Experience with Linux, Windows, Android, ChromeOS, or comparable operating-system kernels.
  • Solid understanding of computer architecture, including processors, caches, buses, memory controllers, DMA, interrupts, and memory protection.
  • Demonstrated technical leadership, ownership, and ability to drive complex cross-functional projects.
  • Clear written and verbal communication skills, including the ability to explain complex security and systems topics to varied audiences.

Ways to stand out from the crowd:

  • Experience with offensive and defensive security, including threat modeling, vulnerability research, reverse engineering, and exploit mitigations.
  • Familiarity with Confidential Computing technology
  • Familiarity with virtualization and isolation technologies, including hypervisors, IOMMUs, and virtual machines.
  • Experience with GPU-driver architecture, embedded firmware/software, RTOS environments, RISC-V, or resource-constrained systems.
  • Proven ability to apply security principles across tightly integrated hardware and software systems.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most experienced and dedicated people in the world working for us. If you're creative and autonomous, we want to hear from you!


With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most experienced and hardworking people in the world working for us. Due to outstanding growth, our skilled engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, 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 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 26, 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 or master’s degree in Computer Engineering, Computer Science, Electrical Engineering, a related field, or equivalent experience
  • 8+ years of experience in systems software, embedded development, or security engineering
  • Experience securing low-level software, including operating-system kernels, device drivers, embedded systems, or platform software
  • Strong C programming, low-level driver development, and system-level debugging skills
  • Experience with Linux, Windows, Android, ChromeOS, or comparable operating-system kernels
  • Understanding of computer architecture, including processors, caches, buses, memory controllers, DMA, interrupts, and memory protection
  • Technical leadership, ownership, and ability to drive complex cross-functional projects
  • Clear written and verbal communication skills for explaining complex security and systems topics
  • Experience with offensive and defensive security, threat modeling, vulnerability research, reverse engineering, and exploit mitigations
  • Familiarity with Confidential Computing technology
  • Familiarity with virtualization and isolation technologies, including hypervisors, IOMMUs, and virtual machines
  • Experience with GPU-driver architecture, embedded firmware/software, RTOS environments, RISC-V, or resource-constrained systems
  • Experience applying security principles across integrated hardware and software systems

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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