Cloud Platform Engineer - New Grad
Austin, TXJob$131–197K/yrPosted 4 days agoStill listed 3 days ago
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At a glance
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Requirements
Credentials this posting asks for.
Job overview
SambaNova’s Cloud Platform team operates the production inference service for customers across multiple regions. The new-grad Cloud Platform Engineer writes automation and infrastructure code to keep the service fast and available, building monitoring and dashboards, managing Kubernetes and Terraform, helping launch regions, and joining a shared on-call rotation after ramp-up.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value.
About the Team
The Cloud Platform team runs the production inference service that serves SambaNova's models to customers on RDU accelerators. We handle deployment, monitoring, capacity planning, and incident response across regions in the United States, Asia, Europe, and Latin America.
About the Role
As a new grad Cloud Platform Engineer, you'll write automation and infrastructure code that keeps our inference service fast and available. You'll build monitoring and dashboards, manage Kubernetes clusters and Terraform modules, help stand up new regions, and join a shared on-call rotation once you're ramped up.
Responsibilities
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Build monitoring, alerting, and dashboards in Prometheus, Grafana, and Datadog
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Manage cloud and on-prem infrastructure as code with Terraform and Ansible
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Operate and maintain Kubernetes clusters that run our inference workloads
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Help automate setup of AI infrastructure in new regions
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Build CI/CD pipelines that deploy new model versions and service updates safely
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Participate in a shared on-call rotation and incident response
Required Qualifications
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B.S. in Computer Science, Computer Engineering, or related field
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Strong programming or scripting skills in Python, Go, or a similar language
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Familiarity with Linux and command line tools
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Coursework or project experience in distributed systems, networking, or cloud computing
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Understanding of networking fundamentals, including TCP/IP, DNS, and HTTP
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Experience with Docker and Kubernetes
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Experience with a public cloud provider such as AWS, GCP, or Azure
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Experience with Terraform or other infrastructure as code tools
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Experience with monitoring tools such as Prometheus or Grafana
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Experience with CI/CD tools such as GitHub Actions, Jenkins, or ArgoCD
Preferred Qualifications
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M.S. in Computer Science, Computer Engineering, or related field
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Familiarity with model serving frameworks such as vLLM or SGLang
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Internship experience in site reliability, DevOps, or backend infrastructure
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Open source project ownership or contributions
Base Salary Range:
Base Pay Range $131,200—$196,800 USD
Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified.
EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.
Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
How this job compares
Set against the 2,401 open Site Reliability Engineer jobs on Olive Jobs, counted October 31, 2026.
- Pay
- This posting$131–197K/yr
- Texas median$118–202K/yr79 salary ranges
- US median$126–219K/yr1,948 salary ranges
This range's midpoint, $164K, is close to the Texas median midpoint ($161K) — in the middle half of Site Reliability Engineer salary ranges in Texas.
- Openings
- Olive Jobs lists 143 open Site Reliability Engineer jobs in Texas and 2,401 across the US. 16% of them nationwide are listed as remote or flexible.
- Hiring the most in Texas
- Apple20 open
- JPMorgan Chase11 open
- EY10 open
- Experience
- Site Reliability Engineer postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 4 to 8 years (2,051 postings).
- Education
- This posting asks for a bachelor's degree; 735 of the 2,401 open Site Reliability Engineer jobs (31%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 31, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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