Senior Linux Kernel Software Engineer

Reposted 2 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
184K-357K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The role involves developing device drivers for network interface cards, optimizing software solutions, and addressing complex technical issues in the Linux kernel group.
Summary Generated by Built In

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are looking for a Senior Linux Kernel Software Engineer to join the Linux networking drivers R&D team. The work environment is versatile, informative, dynamic and challenging as our employees are currently working on innovative, next-generation network interface card at the forefront of technology.

What you’ll be doing:

  • Being part of the Linux kernel group, working on developing the device driver for our NICs.

  • Integration and optimization of existing products and solutions with our software stack and hardware capabilities.

  • Crafting and developing components of the network, security, and storage software stacks.

  • Driving a complete engineering process, including refining requirements, engineering design of data structures/algorithms, implementation, peer review, developer testing, and post-GA support.

  • Drive complex technical issues to closure that may occur in the cross-team boundary.

What we need to see:

  • Bachelor's degree in Computer Science, or equivalent experience

  • 8+ years of proven experience in the field

  • Extensive experience with Linux is required

  • Experience with kernel-level programming is required

  • Deep understanding of the system software stack, with a focus on software/hardware interaction, including platform firmware, device drivers, Linux kernel, and how user-space applications utilize system services to achieve high performance

  • Knowledge of Network Protocols such as TCP/IP and RDMA

  • Strong analytical, debugging, and problem-solving skills

  • Deep knowledge of computer architecture and operating systems

Ways to stand out from the crowd:

  • Open source code contributor

  • A Master’s or equivalent experience in Computer Science is a plus

  • Hands-on expertise with RDMA

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 forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive 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 for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 26, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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 degree in Computer Science or equivalent experience
  • 8+ years of proven experience in the field
  • Extensive experience with Linux
  • Experience with kernel-level programming
  • Deep understanding of the system software stack including platform firmware, device drivers, and Linux kernel
  • Knowledge of Network Protocols such as TCP/IP and RDMA
  • Strong analytical, debugging, and problem-solving skills
  • Deep knowledge of computer architecture and operating systems
  • Open source code contributor
  • A Master's or equivalent experience in Computer Science
  • Hands-on expertise with RDMA

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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