Senior Manufacturing Quality Engineer
Crusoe · Arvada, CO - US
Infrastructureonsitesenior$130k–$150k
At a glance
Highlights
- Own quality processes for equipment powering next-gen AI data centers.
- Lead root-cause investigations and drive CAPA with suppliers and teams.
- Coordinate factory acceptance testing for mission-critical infrastructure.
What they offer
- Restricted Stock Units
- Bonus
- Paid time off, paid holidays & leave programs
- Comprehensive health, dental & vision insurance
- Employer HSA contributions
- Paid parental leave
- 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) with company match up to 4% of salary
- Volunteer time off
- Global travel insurance & emergency assistance
- Daily meals allowance
Ideal candidate
A hands-on quality engineer with 5+ years in manufacturing who thrives in fast-moving builds and cares about getting it right the first time. Urgent, collaborative problem-solver who partners across engineering and suppliers to engineer quality in.
Requirements
- Bachelor's degree in Mechanical, Electrical, Industrial, Manufacturing Engineering or related discipline
- 5+ years of quality engineering experience
- Lean Six Sigma Green Belt or Black Belt
- Experience with ISO 9001 Quality Management Systems
- Experience in data center infrastructure, power systems, cooling systems, industrial equipment or modular manufacturing
- Knowledge of electrical and mechanical product standards and certification requirements
- Experience with supplier audits, manufacturing process validation and new product introduction
- Familiarity with PLM, ERP, MES and digital quality management systems
- Experience supporting high-volume or high-complexity manufacturing
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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