Senior Software Engineer, Cloud-Native Stack – CSP Engagements

NVIDIA is widely considered to be one of the technology world’s most desirable employers, leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. They are seeking a Senior Software Engineer for their CSP Engagements team to focus on the cloud-native stack for datacenter products, tackling complex scheduling challenges and enhancing customer workflows.

Responsibilities:

• Perform deep-dive debugging of multi-rack, multi-tenant clusters: 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, KubeCon, and SlurmUG
• Collaborate with AE, FAE, and Solution Architect teams to deliver integrated customer solutions and technical documentation

Requirements:

• 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 (GitHub Actions, Tekton), observability (Prometheus, OpenTelemetry), and infrastructure-as-code
• Excellent communication-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