Senior Linux Systems Engineer

Posted 3 Days Ago
Be an Early Applicant
Santa Clara, CA
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
As a Senior Linux Systems Engineer at NVIDIA, you will work on Linux security, containerization of high performance computing software, and enhance management software. You'll refine requirements, design algorithms, implement solutions, and address complex technical issues across teams. Open Source contributions are a plus.
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 Software Engineer to join the NVIDIA Applied Systems Engineering group. The work environment is challenging, diverse and fast paced as our employees are currently working on innovative, next-generation AI Factory hardware and software infrastructure at the forefront of technology and performance.

What you will be doing:

  • Work on Linux security, identity, container runtimes, drivers+containers, and containerization of various high performance computing cluster software elements within a variety of environments.

  • Crafting, developing and enhancing components of the compute, network, storage security, and management software elements in support of HPC environments.

  • Driving a complete engineering process, including refining requirements, engineering design of data structures/algorithms, implementation, peer review, testing, and documentation.

  • Drive sophisticated technical issues to closure that may occur across team, organizational and company boundaries.

What we need to see:

  • Bachelor's/Master’s degree in computer science or computer engineering or equivalent experience

  • 5+ years of experience with C, C++ and Rust programming. Deep understanding of basic programming primitives, data structures, multi-threading, memory management, hardware access techniques and how to reason about them.

  • Demonstrable Linux systems programming abilities particularly in userspace with kernel space programming as a plus.

  • Ability to self-manage, lead technically, and communicate effectively. Flexibility to work across multiple projects, environments and technologies. Open Source contributions, projects and implementations desirable.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.

Top Skills

C
C++
Rust
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
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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