Senior Software Engineer, Cloud-Native Stack – CSP Engagements

NVIDIA

Redmond (WA)

On-site

USD 184,000 - 287,500

Full time

14 days+

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Job summary

A leading GPU company based in Redmond, WA, is seeking a Senior Software Engineer to join their CSP Engagements team. In this role, you'll tackle complex challenges related to cloud-native AI/ML datacenters, specifically focusing on Kubernetes and Slurm implementations. You'll debug large-scale distributed systems, gather requirements from customers, and drive architecture reviews. The ideal candidate has a background in professional software development with experience in integrating GPUs. Competitive salary and equity benefits are included.

Qualifications

  • 6+ years of professional software development experience in distributed systems.
  • Hands-on experience with next-gen GPUs or comparable accelerators.
  • Proven track record in debugging Kubernetes and Slurm.

Responsibilities

  • Debug multi-rack clusters and their scheduling behavior.
  • Gather customer requirements for Kubernetes and Slurm plugins.
  • Drive architecture reviews and create RFCs.

Skills

Kubernetes internals expertise
Debugging large-scale cloud-native stacks
Customer-facing engineering
CI/CD familiarity
Excellent communication skills

Education

BS or MS in Computer Engineering, Computer Science, or related field

Tools

Go
Rust
C/C++
Python

Job description

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. 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.
  • 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.
Benefits

Salary: $184,000 – $287,500 for Level 4; $224,000 – $356,500 for Level 5. Equity and benefits eligible.

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