Note: The job is a remote job and is open to candidates in USA. NVIDIA is a leading technology company specializing 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, including developing, debugging, and enhancing Kubernetes and Slurm in multi-rack, multi-tenant AI datacenters. The role involves customer engagement, prototyping, architecture reviews, and collaboration with internal and external teams to deliver integrated solutions.
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
Skills
- 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
Benefits
- Equity
- Benefits
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