Deployment Manager – Global Data Center Build and Deploy - Sunnyvale, CA, United States
Originally posted 20 July 2026 by the employer.
About the role
The Deployment Manager is responsible for the end-to-end execution of AI cluster deployments within large-scale data centers, specifically taking from facility ready for power and cooling to customer hand-off. This role leads rack integration and high-density inter-rack cabling for Cerebras Wafer Scale Engine based clusters.
What you'll do
- Lead deployment of AI clusters including Cerebras Wafer Scale Engine, high-speed switches, storage, and rack-level infrastructure.
- Manage installation of high-speed interconnect cabling (fiber and copper) supporting AI fabrics in Data Centers.
- Coordinate with facilities teams on power capacity, cooling readiness, containment, and grounding for dense racks.
- Troubleshoot cabling, connectivity, and integration issues impacting AI cluster bring-up.
- Partner with network, server, AI platform, and operations teams to align on deployment plans and readiness.
- Ensure deployments follow company design standards, structured cabling best practices, and AI deployment playbooks.
- Enforce EHS, data center safety, and access control procedures during deployment.
What you'll need
- Bachelor’s degree in Engineering, IT, or equivalent practical experience.
- 10+ years of experience in data center deployments, infrastructure delivery, or integration roles.
- Ability to provide directions to technicians on data center floor.
- Hands-on experience deploying hyperscale AI, ML, or HPC infrastructure.
- Strong experience with structured cabling in high-density environments, and troubleshooting.
- Familiarity with high-speed fabrics (e.g., InfiniBand, high-bandwidth Ethernet).
- Experience with DCIM or deployment tracking systems.
- Ability to perform under tight timelines and production constraints.
Skills: data center deployments, ai cluster deployment, rack integration, high-density cabling, troubleshooting
This role has been open 84 days — well above the 53-day median for Manufacturing/Industrial Engineering roles.
Manufacturing/Industrial Engineering · Manufacturing Equipment
|
Open roles in category
2523
|
Median days open
53 d
|
Median salary
$97k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Cerebras | All employers we track in this specialty (2523 roles · 80 employers) |
|---|---|---|
| Open roles in this specialty | 3 | 2523 |
| Open roles in the wider Process, Fab & Equipment family | 10 | 9897 · 109 employers |
| Median days open | 84 d | 53 d (+31 d vs this employer) |
| Median salary (USD postings) | — | $97k |
Skills observed across this category: data center deployments, ai cluster deployment, rack integration, high-density cabling, troubleshooting
Who's hiring in this category
- Micron Technology · 402 open roles · median 78 d
- Applied Materials · 251 open roles · median 40 d
- Entegris · 225 open roles · median 39 d
- Lam Research · 108 open roles · median 61 d
- Infineon Technologies · 90 open roles · median 59 d
- STMicroelectronics · 69 open roles · median 55 d
How we counted: 2523 open Manufacturing/Industrial Engineering (Manufacturing Equipment) roles from 80 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 Process, Fab & Equipment family row. Figures refresh nightly.