Principal Cloud Platform Engineer - Austin, Texas, United States
$210,000 USD yearly
Originally posted 22 November 2025 by the employer.
Join SambaNova's Cloud Platform team specializing in the AI Inferencing Service.
About the role
As a Principal Cloud Platform Engineer, you will specialize in SambaNova's AI Inferencing Service, acting as the guardian of its reliability, performance, and scalability. This service delivers SambaNova's models to customers on RDU accelerators, impacting the experience of customers and the success of AI products.
What you'll do
- Shared ownership of the production inferencing service covering availability, latency, performance, change management, and capacity planning.
- Standing-up and automating AI infrastructure in new regions.
- Participating in a shared primary/secondary on-call rotation and leading incident response.
- Building monitoring, alerting, and dashboards in Prometheus, Grafana, and Datadog for service health, model latency and throughput, and accelerator utilization.
- Managing cloud and on-prem infrastructure as code in Terraform and Ansible.
- Building CI/CD pipelines that safely deploy new model versions and service updates.
What you'll need
- B.S. in Computer Science, Computer Engineering, or related field.
- 5+ years of experience in Site Reliability Engineering or DevOps.
- Experience supporting a large-scale, customer-facing service in a public cloud environment (AWS, GCP, Azure).
- Strong programming and scripting skills in languages like Python, Go, Rust, or Java.
- Proven experience with containerization and orchestration technologies (Docker and Kubernetes).
- Deep understanding of monitoring and observability principles and tools (e.g., Prometheus, Grafana, ELK Stack, Datadog).
- Experience with Infrastructure as Code (e.g., Terraform, CloudFormation).
- Experience with CI/CD principles and tools (e.g., Jenkins, GitHub Actions, ArgoCD).
- Strong Linux/Unix system administration fundamentals.
Nice to have
- Experience in a hybrid environment bridging cloud and on-premise/data center infrastructure.
- Direct experience supporting ML/AI inferencing services in production.
- Knowledge of model serving frameworks like vLLM, SGLang or Ray.
- Understanding of MLOps principles and practices.
- Experience with managing and tuning databases (SQL or NoSQL) and caching systems (Redis, Memcached).
Skills: AI Inferencing Service, Kubernetes, cloud infrastructure, CI/CD, monitoring
This role has been open 71 days — well above the 51-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · Infrastructure Platform
|
Open roles in category
962
|
Median days open
51 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | SambaNova | All employers we track in this specialty (962 roles · 86 employers) |
|---|---|---|
| Open roles in this specialty | 11 | 962 |
| Open roles in the wider Software, Firmware & Systems family | 23 | 6114 · 145 employers |
| Median days open | 58 d | 51 d (+7 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: AI Inferencing Service, Kubernetes, cloud infrastructure, CI/CD, monitoring
Who's hiring in this category
- NVIDIA · 274 open roles · median 47 d
- Qualcomm · 62 open roles · median 53 d
- AMD · 54 open roles · median 19 d
- Graphcore · 44 open roles · median 93 d
- Intel Corporation · 43 open roles · median 12 d
- Cerebras · 36 open roles · median 83 d
How we counted: 962 open Infrastructure/Platform Software (Infrastructure Platform) roles from 86 employers tracked in the SemiconductorJobs index, counted 18 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.