Senior Software Engineer, Cloud-Native Stack – CSP Engagements

Role Overview

We are developing advanced multi‑rack, multi‑tenant AI/ML datacenters with NVIDIA GB200 and upcoming GB300 GPUs. NVIDIA seeks a Senior Software Engineer for our CSP (Cloud Service Provider) Engagements team to focus on the cloud‑native stack for datacenter products like GB200.

• Perform deep‑dive debugging of multi‑rack, multi‑tenant clusters, including scheduler behavior, container runtime issues, device‑plugin crashes, RDMA/IB fabric anomalies, etc.
• Gather customer requirements and prototype feature extensions for Kubernetes operators, Slurm plugins, and custom micro‑services that expose new GPU capabilities.
• Drive joint architecture reviews and “whiteboard” sessions with CSP and internal platform teams, convert findings into RFCs and upstream pull requests.
• Create reproducible testbeds (Helm/Ansible/Terraform) that mirror customer environments; automate validation and benchmark suites.
• Deliver technical collateral—design docs, how‑to guides, demo scripts—and present at customer on‑sites, Kube Con, and SlurmUG.
• Collaborate with AE, FAE, and Solution Architect teams to deliver integrated customer solutions and technical documentation.

• Strong source‑level expertise in Kubernetes internals (scheduler, CRI/CNI/CSI, operators) and Slurm (federation, power‑save, plugins).
• Hands‑on experience integrating next‑gen GPUs (Blackwell/GB200/GB300) or comparable accelerators into containerized clusters.
• Proven track record debugging large‑scale, cloud‑native stacks across networking (RDMA/RoCE), storage, and control planes.
• Customer‑facing engineering or solutions‑architect background: requirements gathering, PoC ownership, roadmap influence.
• Familiarity with CI/CD (Git Hub Actions, Tekton), observability (Prometheus, Open Telemetry), and infrastructure‑as‑code.
• Excellent communication skills—able to switch between deep technical detail and high‑level business impact.
• 10+ years of professional software development experience in distributed systems (Go, Rust, C/C++ or Python for tooling).
• BS or MS (or equivalent experience) in Computer Engineering, Computer Science, or related field.

• Upstream contributions to Kubernetes, Slurm, Volcano, or similar projects.
• Experience with GPU computing (CUDA), deep learning workloads.

Your base salary will be determined based on location, experience, and the pay of employees in similar positions. The base salary range is $184,000‑$287,500 for Level4, and $224,000‑$356,500 for Level
5. You will also be eligible for equity and other benefits.

Applications for this role will be accepted until July
13,2026.

NVIDIA is committed to fostering an inclusive work environment and is proud to be an equal opportunity employer. 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.