NVIDIA is looking for an outstanding candidate to solve SW integration challenges for our next-generation data center platforms. You will be at the heart of our latest GPU architectures and advanced AI infrastructure projects, ensuring the seamless integration of world-class technologies in the areas of High-Speed Communication and virtualization. You will support products that leverage Ethernet and InfiniBand protocols, delivering a broad range of advanced compute and networking technologies for the world's most demanding AI workloads. In this role, you will provide first-tier support to R&D teams, acting as the bridge between pioneering hardware and stable software deployments.
What you’ll be doing:
Fixing and prioritising complex systems during high-stakes bringups and Proof of Concepts (PoCs) for next-generation computing architectures.
Managing the integration of large-scale products involving GPUs, complex Network Stacks, Firmware, and Drivers.
Creating, recreating, and redeploying software artifacts. You will be responsible for fixing code, updating builds, or providing creative workarounds to unblock development.
Serving as the primary technical point of contact for R&D teams to resolve immediate infrastructure and integration blockers.
Working closely with R&D, Verification, and DevOps teams to streamline the CI/CD pipeline for specialized high-speed interconnect and system management projects.
What we need to see:
Bachelor Science Degree in Computer Science or similar academic degree, or equivalent experience.
Proven software engineering background with a deep understanding of standard methodologies in software development, modern Linux-based operating systems, and computer networking.
5+ years of overall experience in DevOps, SRE, or Systems Integration roles.
Deep knowledge of Linux distributions (Ubuntu/RHEL) and containerization using Docker.
Coding skills in C/C++, Python, and Bash for automation and system-level fixes.
Experience with GitLab and GitLab CI for managing complex build pipelines.
Ability to multi-task, self-manage in a fast-paced environment, and lead technically during critical system failures.
Excellent problem-solving and critical thinking abilities.
Ways to stand out from the crowd:
In depth knowledge and familiarity with high-performance networking (InfiniBand, Ethernet).
Practical experience with gRPC, gNMI, REST, and JSON for system management and telemetry.
A proven track record of working on large-scale HW+SW converged systems (e.g., rack-scale computing or GPU clusters).
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 148,000 USD - 235,750 USD for Level 3, and 176,000 USD - 276,000 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
- Bachelor Science Degree in Computer Science or similar academic degree, or equivalent experience
- 5+ years of overall experience in DevOps, SRE, or Systems Integration roles
- Proven software engineering background with a deep understanding of software development methodologies
- Deep knowledge of Linux distributions (Ubuntu/RHEL)
- Coding skills in C/C++, Python, and Bash for automation and system-level fixes
- Experience with GitLab and GitLab CI for managing complex build pipelines
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.”
