Senior System Software Engineer - Slurm

Reposted 15 Hours Ago
Be an Early Applicant
Hiring Remotely in UT, USA
Remote
140K-270K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop and optimize Slurm system software in C, including networking, system-level, application-level, and device-level components. Diagnose complex reliability and performance issues, create automated tests, collaborate with operations and infrastructure teams, and provide technical support. The role requires Linux systems programming, debugging, performance profiling, system administration knowledge, and familiarity with containers and GPU technologies.
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 seeking an expert System Software Engineer with a strong background in Linux systems programming, systems administration, and technical support. This hybrid role combines software development, system-level fixing, and direct support for internal or customer-facing environments. You will design and maintain Slurm written in C, diagnose sophisticated system issues, and collaborate with other engineers to ensure Slurm runs optimally and efficiently. The ideal candidate is equally comfortable writing efficient, reliable, and maintainable code, analyzing systems performance, and supporting production environments.


What you'll be doing:
  • Maintain, improve and optimize software components in C
  • Develop and maintain system-level and application-level code for Slurm which includes networking, system and device level components
  • Debug and fix complex Slurm issues related to reliability and performance
  • Write clean, maintainable, and well-documented code that adheres to industry standards
  • Collaborate with multi-functional teams including Operations, Infrastructure, and Deployment
  • Provide direct technical support to internal teams or external customers
  • Develop automated tests to ensure software reliability and regression prevention
  • Know the latest in C programming, compilers, build systems, and related technologies

What we need to see:
  • 5+ Years of professional experience in C development and Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)
  • Strong understanding of memory management, pointers, data structures, and algorithms
  • Experience with debugging tools such as GDB and performance profiling
  • Solid understanding of Linux kernel interfaces, system calls, and file system including work with Automake
  • Understanding of software development lifecycles and agile methodologies. Strong problem-solving and analytical skills
  • An environment with a focus on quality and reliability
  • Experience with containers and GPU technologies
  • Curious, self-motivated, and eager to learn new technologies

Ways to stand out from the crowd:
  • Experience with C and other low-level languages. Background in system administration or High Performance Computing
  • Experience with Slurm Workload Manager or other HPC scheduling systems
  • Knowledge of operating system internals or hardware-software interaction.
  • Contributions to open-source C projects are a plus

NVIDIA is leading the way in groundbreaking developments in modern computing and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction - from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help accelerate the next wave of artificial intelligence. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you! 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.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
140,000 USD – 224,250 USD for Level 3; and 168,000 USD – 270,250 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 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

  • 5+ years of professional experience in C development
  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience
  • Strong understanding of memory management, pointers, data structures, and algorithms
  • Experience with debugging tools such as GDB and performance profiling
  • Understanding of Linux kernel interfaces, system calls, and file systems
  • Experience with Automake
  • Understanding of software development lifecycles and agile methodologies
  • Strong problem-solving and analytical skills
  • Experience with containers and GPU technologies
  • Experience with C and other low-level languages
  • Background in system administration or high-performance computing
  • Experience with Slurm Workload Manager or other HPC scheduling systems
  • Knowledge of operating system internals or hardware-software interaction
  • Contributions to open-source C projects

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 — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
  • Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
  • Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.

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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