Staff Quality Control (QC) Engineer
Crusoe · Childress, TX - US · Remote - US
Infrastructureremotestaff$175k–$215k
At a glance
Highlights
- Own site-level quality strategy for a mission-critical data center campus.
- Lead field inspections across civil, structural, electrical and mechanical scopes.
- Drive equipment quality via factory acceptance and source inspections.
What they offer
- Restricted Stock Units
- Paid time off, paid holidays & leave of absence programs
- Comprehensive health, dental & vision insurance
- Employer contributions to HSA account
- Paid parental leave
- Paid life insurance, short-term and long-term disability
- Professional development & tuition reimbursement
- Mental health & wellness support
- Commuter benefits (parking & transit)
- Cell phone stipend
- 401(k) Retirement plan with company match up to 4% of salary
- Volunteer time off
- Global travel insurance & emergency assistance
- Daily meals allowance
Ideal candidate
A field-driven quality leader who thrives in fast-moving data center construction and leads through influence. You care deeply about reliability, uptime, and holding partners to high standards for safety and execution.
Requirements
- Relevant certifications such as ASQ CQE, CQM/OE, CQI, CQA, NETA, PMP, or similar
- Experience with electrical, mechanical, controls, or integrated systems testing (IST) documentation
- Willingness to be on-site full-time in Amarillo, TX
- Ability to work closely with field teams, trade partners, OEMs, and commissioning teams in active construction environments
- Ability to hold contractors and vendors accountable to quality standards, including escalation when necessary
- Occasional travel to manufacturer facilities for factory testing and source inspections, and to other Crusoe sites as needed
- Commitment to maintaining high standards in safety, quality, documentation, and execution
Lab profile
About Crusoe
Vertically integrated AI infrastructure company powering ambitious AI workloads from electrons to tokens.
What they build
- Crusoe Cloud for AI workloads
- Purpose-built AI data centers
- Managed GPU infrastructure
Known for
- Vertically integrated from electrons to tokens
- Owns and operates full infrastructure stack
- Built for large-scale AI workloads
Key facts
- Founded in 2018
- Headquartered in San Francisco, CA
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