Instrumentation & Controls Engineer II - Modular
Crusoe· Digital Infrastructure Group (DIG)
Denver, CO - US$110k - $120kFull-timePosted 4w ago
About the role
Instrumentation & Controls Engineer II supporting Crusoe's modular data center platform. Develops control system deliverables, validates them in factory, and supports field startup with a focus on repeatable, verified designs for modular data centers. Denver-based with ~25% travel to manufacturing partners and deployment sites.
Responsibilities
- Design Deliverable Development: Develop point lists, instrument schedules, I/O assignments, and control system drawings for modular data center systems under the direction of senior I&C engineers.
- Factory Acceptance Testing: Execute and document FAT protocols on control panels and integrated modules, including point-to-point verification, loop checks, and calibration confirmation prior to shipment.
- Manufacturing Support: Partner with manufacturing on the factory floor to resolve control panel build issues, wiring discrepancies, and instrument installation questions as modules move through production.
- Platform Standardization: Contribute to the repeatable design packages, drawing templates, and test procedures that let the modular platform scale across successive builds without rework.
- Vendor and Integrator Coordination: Support technical coordination with control panel fabricators, systems integrators, and instrument suppliers on submittals, specification compliance, and open technical items.
- Field Verification and Startup Support: Conduct field walks, equipment inspections, and basic calibration verification at manufacturing and deployment sites to confirm as-built accuracy and commissioning readiness.
- Documentation Integrity: Maintain accurate as-built drawings, test records, and instrument documentation so downstream construction, commissioning, and operations teams work from a reliable source of truth.
Qualifications
- 2 to 4 years of professional experience in industrial instrumentation and controls, including exposure to point list development, control system drawings, and field instrumentation.
- Working familiarity with Rockwell and Allen-Bradley platforms, including Studio 5000 and ControlLogix or CompactLogix hardware.
- Hands-on experience with Ignition SCADA or a comparable platform, including tag configuration, screen navigation, and basic troubleshooting.
- Demonstrated ability to execute structured test procedures, document results accurately, and identify discrepancies before they propagate into downstream deliverables.
- Comfort working in active manufacturing and construction environments, including field walks, panel inspections, and instrument verification alongside technicians and trades.
- A track record of applying established engineering standards independently while escalating technical ambiguity to more experienced engineers early and clearly.
- Bachelor's degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Control Systems Engineering, or related technical discipline.
Skills
Required:Instrumentation & Controls designPLC Proficiency (Rockwell/Allen-Bradley)SCADA exposure (Ignition or equivalent)Field and factory readiness
Benefits
- Competitive compensation and equity packages
- 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
- Additional location-specific perks & programs
Last updated Sep 23, 2026. Interested? Apply on the company site.
About Crusoe
The AI factory company | Renewable-powered AI infrastructure
Crusoe provides next-gen AI infrastructure and cloud compute using an energy-first approach. Deploy AI workloads at scale with reliable performance and 24/7 support.
AI infrastructureData centersEdge computingGPU computingRenewable energycloud computeenergy-first approachsetter-30
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