Originally posted 15 July 2026 by the employer.
This role focuses on testing AI clusters, including software components like Kubernetes and hardware like ML wafer scale accelerators.
About the role
This role involves innovating and executing tests on AI infrastructure, with a focus on ensuring 99.999% reliability for large deployments of thousands of nodes.
What you'll do
- Define optimized test strategies and methodologies for AI infrastructure.
- Build an understanding of how to break down large distributed systems challenges into unit-testable components.
- Aim for 100% automated tests for cluster features including high availability, failure scenarios, performance, stress, and security.
- Champion cluster security and reliability for 99.9999% uptime, along with observability.
- Test all components of the AI cluster, including cluster software (Kubernetes, Prometheus, Grafana) and hardware (ML wafer scale accelerators, CPU runtime nodes, High speed swarmx interconnect, High speed data transfer of weights through memoryx interconnect).
What you'll need
- Bachelor's or master's degree in Computer Science, Electrical Engineering, AI, Data Science or a related field.
- 5+ years of experience testing enterprise software, distributed systems, or datacenter hardware and software.
- Strong coding skills in Python, Golang, or C/C++.
- Strong debugging skills for large distributed systems, hardware, and software, using tools like pdb, gdb, strace, and network monitors.
- Strong understanding of operating systems internals, including memory management, file system working, security, and performance.
- Strong understanding of datacenter layout and device performance characteristics such as Servers, Memory, BIOS, PCIe, networking, and storage.
Skills: distributed ml training, ai cluster, kubernetes, python, golang, c++
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: distributed ml training, ai cluster, kubernetes, python, golang, c++
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.