Senior Cloud-Native AI Platform Engineer (Kubernetes Slurm)

NVIDIA; Durham (NC); On-site; USD 184,000 - 287,500; Full time

Benefits offered by this job

Equity

Diverse work environment

Job summary

NVIDIA is seeking a Senior Software Engineer for the CSP Engagements team in Durham, North Carolina. The role will focus on developing advanced AI/ML datacenters using NVIDIA GPUs. Responsibilities include debugging complex multi-rack clusters and collaborating with clients to enhance cloud-native products.

Ideal candidates will have 10+ years of experience in distributed systems, a strong background in Kubernetes internals, and excellent communication skills. A competitive salary range is offered, alongside equity and benefits.

Qualifications

• Strong source-level expertise in Kubernetes internals and Slurm.
• Hands-on experience integrating next-gen GPUs into containerized clusters.
• Proven track record debugging large-scale cloud-native stacks.
• Customer-facing engineering or solutions-architect background.
• Familiarity with CI/CD, observability, and infrastructure-as-code.
• Excellent communication skills.
• 10+ years of professional software development experience.

Responsibilities

• Perform deep-dive debugging of multi-rack, multi-tenant clusters.
• Gather customer requirements and prototype feature extensions.
• Drive architecture reviews and convert findings into RFCs.
• Create reproducible testbeds for customer environments.
• Deliver technical collateral and present at events.
• Collaborate with AE, FAE, and Solution Architect teams.

Skills

Kubernetes internals

Slurm

GPU integration

Cloud-native stacks

CI/CD

Observability

Communication skills

Education

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

Tools

Go

Rust

C/C++

Python

Helm

Ansible

Terraform

Job description

NVIDIA is seeking a Senior Software Engineer for the CSP Engagements team in Durham, North Carolina. The role will focus on developing advanced AI/ML datacenters using NVIDIA GPUs. Responsibilities include debugging complex multi-rack clusters and collaborating with clients to enhance cloud-native products.

Ideal candidates will have 10+ years of experience in distributed systems, a strong background in Kubernetes internals, and excellent communication skills. A competitive salary range is offered, alongside equity and benefits.