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Senior Staff Quality Control (QC) Engineer at Crusoe - ApplyBlast

Senior Staff Quality Control (QC) Engineer

Crusoe

3 months ago

3.7 on Glassdoor

Abilene, TX

Onsite

Full Time

Senior

0 applicants

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About this role

As a Senior Staff Quality Control Engineer at Crusoe, you will serve as a senior technical authority for construction quality across mission-critical data center infrastructure. You will define and standardize quality engineering practices, focusing on MEP systems, commissioning readiness, and defect prevention to ensure system reliability and operational performance. This highly field-driven role requires partnering with construction, design, and commissioning teams to drive consistent quality outcomes and establish scalable standards.

Responsibilities

Define and improve program-level quality engineering standards and inspection methods
Ensure critical MEP systems are installed in accordance with design intent and specifications
Lead root cause analysis for recurring defects and system-level quality failures
Mentor QC Engineers and construction teams on technical quality standards
Drive pre-functional and functional readiness standards in partnership with commissioning teams

Skills

Qualifications

CQM CertificationCQI CertificationPMP CertificationLean Six Sigma CertificationASQ Certification

About Crusoe

crusoe.ai

Headquarters

Denver, Colorado, United States

Company Size

201-500 employees

Founded

2018

View Profile

Crusoe is the AI factory company, designing, building, and operating next-generation AI infrastructure including a cloud platform, managed inference services, and modular AI data centers. Using an energy-first approach powered by sources such as wind, solar, hydropower, geothermal, and natural gas with carbon capture, Crusoe enables businesses to deploy AI workloads at scale with high performance and 24/7 enterprise support. The company offers purpose-built GPU compute, managed Kubernetes and Slurm clusters, and a proprietary inference engine optimized for large-context AI workloads.