Originally posted 13 July 2026 by the employer.
This role focuses on the quality and reliability of the Cerebras Inference Platform.
About the role
This role involves owning the quality and reliability of the infrastructure that deploys and runs the Cerebras Inference Platform.
What you'll do
- Design, build, and maintain test infrastructure and automation for deploying and validating the Cerebras Inference Platform.
- Validate the platform across environments, including cloud-managed Kubernetes and deployments running on Cerebras hardware.
- Test and verify deployment infrastructure including Kubernetes workloads, CI/CD pipelines, ingress and service discovery, NGINX, and load balancing.
- Investigate and debug complex issues spanning networking, orchestration, deployment, and distributed services.
- Develop and maintain testbeds used to validate platform performance, scalability, and reliability.
- Contribute to test plans and validation strategies for new platform features and releases.
What you'll need
- 3+ years of experience in software engineering, QA/quality engineering, systems engineering, or infrastructure development.
- Strong programming skills in Python and/or Go.
- Experience building automation tools, testing frameworks, or internal developer tooling.
- Hands-on experience with CI/CD systems (e.g., Jenkins).
- Experience debugging complex systems, distributed services, or networked infrastructure.
- Familiarity with systems-level development, infrastructure tooling, or platform integration.
Nice to have
- Hands-on experience with Kubernetes and container orchestration in a real production or staging environment.
- Experience with cloud-managed Kubernetes such as Amazon EKS.
- Experience with GitOps/deployment tooling (e.g., ArgoCD).
- Familiarity with ingress controllers, service discovery, NGINX, and load balancing.
- Experience with build systems such as Bazel.
- Experience with cluster tooling and operations (e.g., k9s).
- Exposure to performance debugging, profiling, or system observability tools.
Skills: Inference Platform, SDET, distributed systems, Kubernetes, CI/CD pipelines
This role has been open 84 days — well above the 52-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · Infrastructure Platform
|
Open roles in category
968
|
Median days open
52 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Cerebras | All employers we track in this specialty (968 roles · 86 employers) |
|---|---|---|
| Open roles in this specialty | 36 | 968 |
| Open roles in the wider Software, Firmware & Systems family | 73 | 6118 · 145 employers |
| Median days open | 84 d | 52 d (+32 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: Inference Platform, SDET, distributed systems, Kubernetes, CI/CD pipelines
Who's hiring in this category
- NVIDIA · 278 open roles · median 47 d
- Qualcomm · 62 open roles · median 54 d
- AMD · 54 open roles · median 20 d
- Graphcore · 44 open roles · median 94 d
- Intel Corporation · 43 open roles · median 13 d
- Cerebras (this employer) · 36 open roles · median 84 d
How we counted: 968 open Infrastructure/Platform Software (Infrastructure Platform) roles from 86 employers tracked in the SemiconductorJobs index, counted 19 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.