Senior Software Engineer, Cloud-Native Stack – CSP Engagements

NVIDIA; California (MO); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Senior Software Engineer for the CSP Engagements team to advance the cloud-native stack for datacenter products like GB200/GB300. You will define customer workflows, prototype enhancements, and debug complex Kubernetes and Slurm issues in multi-rack, multi-tenant AI datacenters.

You will collaborate across CSP and internal platform teams to drive architecture, write RFCs, and deliver demonstrations at customer sites and conferences.

Qualifications

• 10+ years of professional software development in distributed systems.
• Strong source-level Kubernetes and Slurm expertise.
• Experience with GPUs in containerized clusters.
• Customer-facing engineering or solutions-architect background.
• Familiarity with CI/CD, observability, and infrastructure-as-code.
• Excellent communication and problem-solving abilities.

Responsibilities

• Perform deep-dive debugging of multi-rack, multi-tenant clusters and scheduler behavior.
• Prototype feature extensions for Kubernetes operators and Slurm plugins.
• Lead architecture reviews and RFCs with CSP and internal teams.
• Create reproducible testbeds (Helm/Ansible/Terraform) and automate validation.
• Produce technical collateral and demo scripts for on-sites and conferences.
• Collaborate with AE, FAE, and Solution Architect teams to deliver solutions.

Skills

Kubernetes internals

Slurm integration

CI/CD

Observability

Infrastructure as Code

Go/Rust/Python tooling

GPU integration

Customer communication

Education

BS or MS in Computer Engineering/CS

Tools

Helm

Terraform

Ansible

GitHub Actions

Tekton

Prometheus/OpenTelemetry

Slurm

Job description

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).
• 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

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hard-working people in the world working for us. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, hardworking and self-motivated, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.