Drimva

SambaNova

Cloud Platform Engineer - New Grad

$131K–$197K

Austin, Texas, United States +3 · Entry level · Full-time · Posted Oct 27, 2026

Location
Austin, Texas, United States
San Jose, California, United States
Austin, Texas, United States
San Jose, California, United States
Experience
New-grad role; no years specified. Relevant coursework or project experience is requested.
Education
B.S. in Computer Science, Computer Engineering, or related field.

About the job

Build and operate automation and infrastructure for SambaNova’s production AI inference service, supporting its availability and regional expansion.

What you'll do

  • Build monitoring, alerting, dashboards, and CI/CD pipelines for model and service deployments.
  • Manage Kubernetes clusters and cloud/on-prem infrastructure using infrastructure-as-code tools.
  • Automate AI infrastructure setup in new regions and participate in on-call and incident response.

What they ask for

  • B.S. in Computer Science, Computer Engineering, or a related field.
  • Programming or scripting skills in Python, Go, or a similar language; familiarity with Linux and command-line tools.
  • Understanding of networking fundamentals, including TCP/IP, DNS, and HTTP; coursework or project experience in distributed systems, networking, or cloud computing.
  • Experience with Docker, Kubernetes, a public cloud provider, Terraform or similar infrastructure-as-code tools, monitoring tools, and CI/CD tools.

Nice to have

  • M.S. in Computer Science, Computer Engineering, or a related field; familiarity with vLLM or SGLang.
  • Internship experience in site reliability, DevOps, or backend infrastructure; open-source project ownership or contributions.

Pay

$131,200 — $196,800 USD (base salary)

Tools

Prometheus, Grafana, Datadog, Terraform, Ansible, Kubernetes, Docker, Python

AI focus

Operate infrastructure and deployment systems for AI model inference workloads; automate setup of AI infrastructure in new regions.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)