Are you passionate about technology and seeking welcoming, energized, hardworking professional colleagues at a company with encouraging benefits and a cheerful work environment? NVIDIA is looking for an excellent Drivers Engineer to join our OFED Linux Drivers team. In this position, you will take part in developing cutting-edge features and technologies in kernel and userspace for groundbreaking network technologies.
What you’ll be doing:
Craft and implement kernel drivers for our state or art network devices as well as userspace libraries.
Collaborate and debug with teams across the globe to provide the best solutions for our customers.
Develop high-quality code for Linux kernel and other open-source environments.
Work in a Continuous Deployment environment of fast development/deployment cycles.
Be a part of an experienced team with a great atmosphere.
What we need to see:
Bachelors/master's degree in computer science or computer engineering or equivalent experience.
At least 4 years' experience of programming experience.
C experience and extensive knowledge.
Experience in Linux environment and tools.
Strong design, coding and debugging skills.
High ability to focus on task execution.
Excellent communication and leading skills.
Ways to stand out from the crowd:
Experience in kernel programming.
Open-Source Software Contribution.
Deep knowledge of Networking Protocols InfiniBand, Ethernet.
With competitive salaries and a comprehensive benefits package, NVIDIA is widely regarded as one of the most desirable technology employers in the world. Our teams are composed of some of the most forward‑thinking and driven engineers in the industry, and we continue to grow rapidly. If you are a senior data engineer passionate about building large‑scale, high‑impact data platforms, we’d love 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 140,000 USD - 224,250 USD.You will also be eligible for equity and benefits.
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
- Bachelors/master's degree in computer science or computer engineering or equivalent experience
- At least 4 years' experience of programming experience
- C experience and extensive knowledge
- Experience in Linux environment and tools
- Strong design, coding, and debugging skills
- Excellent communication and leading skills
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.
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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.
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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.
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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
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.”
