As a Senior Software Engineer on the CSP Engagements team at NVIDIA, you will focus on developing and enhancing cloud-native stacks for advanced AI/ML datacenters equipped with GB200 GPUs. Your responsibilities include deep-dive debugging of multi-rack, multi-tenant clusters, gathering customer requirements, and prototyping feature extensions for Kubernetes operators and Slurm plugins. You will also drive architecture reviews, create reproducible testbeds using Helm, Ansible, and Terraform, and deliver technical documentation and presentations at industry events. The ideal candidate has extensive experience with Kubernetes internals, Slurm federation, and integrating next-gen GPUs into containerized clusters, along with a strong background in distributed systems development (Go, Rust, C/C++, Python) and familiarity with CI/CD pipelines, observability tools, and infrastructure-as-code practices.
Skills
Kubernetes
Slurm
Terraform
Helm
Ansible
CI/CD
GitHub Actions
Tekton
Prometheus
OpenTelemetry
Go
Rust
C
C++
Python
NVIDIA GB200
NVIDIA GB300
RDMA
RoCE
CUDA
What you'll do
Perform in-depth debugging of multi-rack, multi-tenant clusters for scheduler and container runtime issues.
Prototype feature extensions for Kubernetes operators and Slurm plugins based on customer requirements.
Conduct joint architecture reviews and create RFCs from findings with CSP teams.
Develop automated testbeds and validation suites using Helm/Ansible/Terraform to mirror customer environments.
Deliver technical documentation, design guides, and present at industry conferences and customer meetings.
What we're looking for
Strong expertise in Kubernetes internals and Slurm for multi-rack, multi-tenant clusters.
Hands-on experience integrating next-gen GPUs into containerized clusters.
Proven ability to debug complex cloud-native stacks across networking, storage, and control planes.
Experience gathering customer requirements and prototyping feature extensions for Kubernetes operators.
Familiarity with CI/CD tools, observability systems, and infrastructure-as-code practices.
10+ years of professional software development in distributed systems with relevant programming languages.
Upstream contributions to open-source projects like Kubernetes or Slurm.
Market check
Salary context
This
$184,000–$287,500
range sits above
93%
of similar postings on FindRole.
Peer median band
$117,000–$212,080
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$142,400–$200,000
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
801 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 797 roles with salary data.