Cluster Operations Software Engineer - Sunnyvale, CA, United States
Originally posted 13 August 2026 by the employer.
Work with the Wafer-Scale Engine (WSE) to manage machine learning compute clusters.
About the role
This role involves managing and operating machine learning compute clusters, ensuring the health, performance, and availability of infrastructure.
What you'll do
- Deploy, configure, and debug container-based services using Docker.
- Build and own software solutions for cluster operations, including monitoring platforms and workflow automation systems.
- Collaborate with cross-functional teams to translate operational requirements into scalable O&M products and platform capabilities.
- Develop APIs, automation services, and integrations to improve operational visibility and fleet management.
- Manage and operate multiple advanced AI compute infrastructure clusters.
- Monitor and oversee cluster health, proactively identifying and resolving potential issues.
- Maximize compute capacity through optimization and efficient resource allocation.
- Provide 24/7 monitoring and support, performing hands-on troubleshooting as needed.
- Handle engineering escalations and collaborate with other teams to resolve complex technical challenges.
What you'll need
- 6-8 years of experience in managing and operating complex compute infrastructure in machine learning or high-performance computing.
- Proficiency in Python and Go for building operational platforms, workflow automation systems, and reliability tooling.
- Experience and expertise in distributed systems.
- Deep understanding of Linux-based compute systems and command-line tools.
- Extensive knowledge of Docker containers and container orchestration platforms like k8s.
- Proven ability to troubleshoot and resolve complex technical issues.
- Experience with monitoring and alerting systems.
- Willingness to participate in a 24/7 on-call rotation.
Nice to have
- Operating and Managing large scale AI clusters.
- Knowledge of technologies like Ethernet, RoCE, TCP/IP.
- Knowledge of cloud computing platforms (e.g., AWS, GCP, Azure).
Skills: AI cluster operations, machine learning compute clusters, Docker, Python, Go, distributed systems
This role has been open 65 days — well above the 51-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · Infrastructure Platform
|
Open roles in category
976
|
Median days open
51 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 (976 roles · 86 employers) |
|---|---|---|
| Open roles in this specialty | 36 | 976 |
| Open roles in the wider Software, Firmware & Systems family | 73 | 6114 · 145 employers |
| Median days open | 83 d | 51 d (+32 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: AI cluster operations, machine learning compute clusters, Docker, Python, Go, distributed systems
Who's hiring in this category
- NVIDIA · 281 open roles · median 46 d
- Qualcomm · 62 open roles · median 52 d
- AMD · 55 open roles · median 18 d
- Graphcore · 44 open roles · median 92 d
- Intel Corporation · 43 open roles · median 11 d
- Cerebras (this employer) · 39 open roles · median 82 d
How we counted: 976 open Infrastructure/Platform Software (Infrastructure Platform) roles from 86 employers tracked in the SemiconductorJobs index, counted 17 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.