Software DevOps Engineer, Networking

About the role

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.

Requirements

• 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

• 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).

Pay

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.