Senior Software Engineer, Cloud-Native Stack – CSP Engagements

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 184,000 - 287,500; Full time

Benefits offered by this job

Equity options

Comprehensive benefits

Job summary

NVIDIA Gruppe is seeking a Senior Software Engineer to join our Cloud Service Provider Engagements team in Santa Clara, California. This role involves developing advanced AI/ML datacenters and defining customer workflows in a complex environment.

The ideal candidate must have expertise in Kubernetes internals and significant experience with next-gen GPUs. You will work closely with customer and internal teams to enhance datacenter products and automate validation processes.

A competitive salary range and employee benefits are included.

Qualifications

• 10+ years of professional software development experience in distributed systems (Go, Rust, C/C++ or Python for tooling).
• Customer-facing engineering or solutions-architect background: requirements gathering, PoC ownership, roadmap influence.
• Hands-on experience integrating next-gen GPUs (Blackwell/GB200/GB300) or comparable accelerators into containerized clusters.

Responsibilities

• Perform deep-dive debugging of multi-rack, multi-tenant clusters.
• Gather customer requirements and prototype feature extensions for Kubernetes operators.
• Collaborate with AE, FAE, and Solution Architect teams to deliver integrated customer solutions.

Skills

Kubernetes internals

CI/CD

Excellent communication

Debugging large-scale systems

Integrating next-gen GPUs

Education

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

Tools

Helm

Ansible

Terraform

Job description

Senior Software Engineer – Cloud Service Provider Engagements

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.

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.

Qualifications

• 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

• Upstream contributions to Kubernetes, Slurm, Volcano, or similar projects.
• Experience with GPU computing (CUDA), deep learning workloads.

Compensation & Benefits

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $184,000USD–$287,500USD for Level4, and $224,000USD–$356,500USD for Level5.

You will also be eligible for equity and benefits.

Equal Opportunity Statement

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. 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.