Senior Software Engineer, Cloud-Native Stack – CSP Engagements

at Nvidia
📍 Santa Clara, United States
USD 184,000-356,500 per year
SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Software Development @ 7 Ansible @ 4 Go @ 7 Kubernetes @ 4 Prometheus @ 3 Terraform @ 4 Python @ 7 GitHub @ 3 GitHub Actions @ 3 CI/CD @ 3 Distributed Systems @ 7 Communication @ 4 Helm @ 4 Networking @ 4 Rust @ 7 Debugging @ 4 OpenTelemetry @ 3 CUDA @ 4 GPU @ 4

Details

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. You will define customer workflows, prototype stack enhancements, and debug the toughest Kubernetes + Slurm issues in multi-rack, multi-tenant AI datacenters. You'll tackle complex scheduling challenges across racks, tenants, and clouds.

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.
  • 6+ 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.

Ways to stand out from the crowd

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

Company

NVIDIA is widely considered one of the technology world's most desirable employers, leading groundbreaking developments in AI, HPC, and visualization. The GPU is at the heart of our products and services. If you're creative, hardworking, and self-motivated, we want to hear from you!

Compensation and Benefits

  • Base salary range for Level 4: 184,000 USD - 287,500 USD
  • Base salary range for Level 5: 224,000 USD - 356,500 USD
  • Eligibility for equity and benefits

Equal Opportunity

NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. We do not discriminate on the basis of any protected characteristic.