NVIDIA is looking for a top-tier Software Engineering Leader to join the NVIDIA-Cumulus Linux Team! Are you looking for an exciting role that allows you to lead Cumulus Linux development, take full ownership of tasks from A-Z and deliver independently with minimum supervision?
We present you with an opportunity where you will be part of the team that develops the Network Operating System software that powers data centers that are accelerated, disaggregated and software-defined to meet the exploding growth in AI and high-performance computing. In this role on Cumulus Linux a Debian based distribution, you'll be responsible for leading a software development team responsible for defining, and implementing, Cumulus Linux core infrastructure services, Reliability, Availability and Serviceability features, as well as overall responsibility telemetry features. You will work with multi-functional engineering and product teams.
What you'll be doing:
Lead a team involved with development and delivery of Cumulus Linux operating system telemetry and infrastructure features
Partnering with other engineering teams to scope and develop solutions to improve systems security, performance and reliability features.
Develop and debug C and Python code for system monitoring, reliability and serviceability features as needed.
Collaborate with product, architecture, and engineering teams for E2E integration of systems infrastructure features into Linux and Cumulus Linux distribution
Work with project management team for effort estimation and planning of the different features.
Work closely with recruiting staff to expand the team, including sourcing and interviewing candidates, participating in conferences/events, and onboarding new employees.
Help engineers develop their careers, assigning them to projects tailored to their current skill levels as well as their long-term development, taking into account evolving strengths and capabilities
Work with upstream communities as needed, supervise technology trends like emerging standards for any technology opportunities.
Guide through the problem solving process, minimize how often problems take place and proactively take steps to prevent problems from happening.
What we need to see:
Master of Science in Electrical Engineering, Computer Science, Computer Engineering or Bachelors (or equivalent experience)
10+ years of proven leadership in Linux systems, data center networking technologies
2 or more years of people management experience in an enterprise environment.
Familiar with cloud native concepts
Strong background with Linux OS feature development
Good knowledge of data modeling concepts, OpenConfig, and streaming telemetry protocols like gNMI.
Experience driving projects from concept to production
Excellent written and verbal communication and interpersonal skills. Comfortable articulating value propositions to customers and influencing internal teams
Experience with embedded software on network switches
Experience with bring up and troubleshooting of Ethernet interfaces and modules
Familiarity with datacenter protocols
Able to work independently with minimal direction.
Ways to stand out from the crowd:
Strong background in Linux systems and Linux kernel networking
Strong hands-on lab work experience involving system bring-up and debug
Loves to work in a collaborative environment
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 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 431,250 USD for Level 4.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 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
- Master of Science in Electrical Engineering, Computer Science, Computer Engineering or equivalent experience
- 10+ years of proven leadership in Linux systems and data center networking
- 2 or more years of people management experience in an enterprise environment
- Strong background with Linux OS feature development
- Experience driving projects from concept to production
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.”
