Senior Software Engineer
US$184,000 – US$356,500 / yr base salary
Posted 9 Sep 2026
Advertised as “Senior Software Engineer, Cloud-Native Stack – CSP Engagements”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 10+ yrs
- Management level
- Individual contributor
- Contract
- Full-time
| Base salary | US$184,000 – US$356,500 / yr |
|---|
Field of studyComputer Engineering, Computer Science (or related)
Study levelBachelor's or higher
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. In this role, 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 as part of the CSP engagements team.
What you’ll be doing:
-
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.
What we need to see:
-
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).