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.
Join NVIDIA's software infrastructure team to design, build, and improve software systems for rack, networking, and datacenter provisioning and management. As a Senior Software Engineer - Datacenter Systems, you will work with innovative technology supporting large-scale GPU clusters connected through NVLink and InfiniBand. These clusters run today's fastest HPC and AI workloads. This role suits ambitious individuals eager to contribute meaningfully to our stable release train architectures and Site Reliability Engineering (SRE) practices.
What you'll be doing:
Develop and manage software for hands-off datacenter provisioning and lifecycle management, including rack installation, bare-metal networking configuration, and cluster scaling.
Build and implement scalable release train architectures that modularize systems and enable independent, reliable release cycles.
Define, monitor, and enforce Service Level Indicators (SLI), Objectives (SLO), and Agreements (SLA) for core infrastructure services to ensure high availability and reliability.
Develop intuitive user interfaces (UIs) and APIs for internal provisioning and management tools, making cluster operations and visibility more straightforward.
Lead the technical requirement definition process, clearly articulating requirements, inputs, outputs, and quantifiable outcomes for new infrastructure features and system improvements.
Build and maintain CI/CD pipelines that support fast, reliable integration and deployment across complex systems.
Build tools and automation workflows that simplify software releases, manage dependencies, and increase reliability.
Automate software updates and monitor system health to improve reliability and availability.
Resolve operational issues across distributed infrastructure as well as manage firmware and software rollouts to minimize downtime and ensure consistency.
Work with global engineering teams to align infrastructure tools and support project achievements.
What we need to see:
BS or MS in Computer Science, Computer Engineering, or a related field or equivalent experience.
8+ years of experience managing infrastructure or systems in high-performance or distributed environments.
Expertise in software programming using Python, Rust, C++, and Shell or similar high-level languages.
Practical experience with modern CI/CD tools and infrastructure-as-code frameworks such as Jenkins, GitLab, Ansible, GitOps, and Kubernetes.
Ability to use AI coding tools and agents effectively to increase your efficiency.
Strong understanding of Linux, networking, and distributed system building.
Ability to break down monolithic systems into scalable, loosely coupled components.
Excellent communication and collaboration skills across multi-functional areas.
Ways to stand out from the crowd:
Demonstrated experience implementing SRE practices, specifically defining and tracking SLIs, SLOs, and SLAs.
Proficiency with observability tools such as Prometheus and Grafana for system health monitoring and analysis.
Experience crafting user-facing components (front-end or CLI) for infrastructure management tools.
Experience with cluster management tools like Slurm as well as familiarity with NVIDIA DGX systems and GPU-based clusters such as GB200, GB300, and VR-NVL72.
Consistent track record leading DevOps process improvements and drive team efficiency.
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
- BS or MS in Computer Science, Computer Engineering, or related field or equivalent experience
- 8+ years of experience managing infrastructure or systems
- Expertise in software programming using Python, Rust, C++, and Shell
- Practical experience with modern CI/CD tools
- Strong understanding of Linux, networking, and distributed system building
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.”
