Full-Time

Quality Manager

Manufacturing

Posted on 9/9/2026

Crusoe

Crusoe

1,001-5,000 employees

Climate-aligned HPC powered by wasted energy

Compensation Overview

$120k - $135k/yr

+ Bonus + Restricted Stock Units

Brighton, CO, USA

In Person

Approximately 30% to 40% travel to manufacturing facilities, vendor sites, and client locations is required.

Bachelor's, Master's

Category
Manufacturing Quality & Test (2)
,
Required Skills
ERP
Six Sigma
ISO 9001
Quality Assurance (QA)

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Requirements
  • 6–10 years of progressive experience in Manufacturing Quality, Quality Engineering, Quality Assurance, Electrical Quality, Mechanical Quality, or related disciplines, including significant experience leading Quality organizations in complex manufacturing environments.
  • Demonstrated people-management experience leading cross-functional Quality teams across multiple manufacturing facilities.
  • Proven experience supporting both electrical hardware, including switchboards, switchgear, breakers, and industrial controls, and mechanical hardware, including sheet metal fabrication, structural welding, enclosures, and coatings.
  • Strong experience with Factory Acceptance Testing, Factory Witness Testing, electrical testing including hi-pot, dielectric, and continuity testing, and end-to-end manufacturing inspection including IQC, IPQC, and OQC.
  • Strong working knowledge of UL compliance and certification requirements, with experience working with external auditors, certification bodies, customers, and regulatory organizations.
  • Working knowledge of welding inspection and Certified Welding Inspector-controlled process management.
  • Demonstrated mastery of CAPA, RCA, SCAR, 8D, NCR, and structured problem-solving methodologies.
  • Deep knowledge of Quality Management System principles, ISO auditing, quality data management, and manufacturing quality controls.
  • Proven track record of influencing and collaborating across Engineering, Manufacturing, Supply Chain, Procurement, and Executive leadership.
  • Ability and willingness to travel 30% to 40% across manufacturing facilities, vendor locations, and client sites.
  • Mandatory participation in company safety, background check, drug, and alcohol programs is required for this safety-sensitive position.
Responsibilities
  • Direct quality operations across multiple facilities, define inspection standards and acceptance criteria, lead multi-site containment efforts, establish staffing requirements, partner with production leadership, coach quality staff, and maintain Quality Management System compliance and discipline.
  • Provide technical oversight for mechanical fabrication, structural assemblies, sheet metal, welding and welded structures, Certified Welding Inspector requirements, dimensional inspection, geometric dimensioning and tolerancing, surface coatings and paints, fastening and torque control, and enclosure assembly quality.
  • Direct technical oversight for switchgear, switchboards, breakers, electrical cabinets, busbars, industrial control equipment, wiring and harnessing, electrical safety testing, insulation and dielectric testing, hi-pot testing, continuity and grounding, and in-process quality control.
  • Lead Quality Assurance activities to ensure compliance with UL 891, UL 508, NRTL, NETA ATS-2025, customer, regulatory, and product certification standards.
  • Lead Quality oversight for factory testing and customer or certification witness activities, including pre-FAT readiness reviews, test procedure approvals, calibration verification, test result traceability, defect resolution, and witness inspections.
  • Ensure modifications to product designs and Bills of Materials are communicated to Quality Assurance teams and that inspection protocols and acceptance criteria are updated.
  • Partner with Manufacturing and Engineering to implement process controls including PFMEA, Control Plans, Process Flow Diagrams, SPC, MSA and Gage R&R, Poka-Yoke, standardized work, FAI, and layered audits to improve first-pass yield and reduce scrap, rework, and process variation.
  • Maintain readiness for internal, customer, ISO 9001:2026, and certification audits; oversee corrective actions, manage quality records, and liaise with the enterprise Quality Management System organization.
  • Lead and coach personnel through CAPA, NCR, RCA, 8D, SCAR, containment, deviation management, and effectiveness verification.
  • Establish cross-site quality metrics and dashboards tracking First Pass Yield, Defect PPM, NCR, rework, scrap, escapes, COPQ, FAT and FWT performance, and audit findings.
  • Partner with Design, Manufacturing Engineering, and NPI teams on DFM and Quality reviews, CTQ identification, geometric dimensioning and tolerancing, change control, and converting compliance rules into factory controls.
  • Collaborate with Supplier Quality and Procurement on supplier qualification, subcontractor quality, incoming requirements, and risk escalation.
  • Build and direct multi-site Quality teams, align staffing plans with manufacturing volume, define competencies and career paths, enable cross-training, develop technical subject-matter experts, and foster accountability and continuous improvement.
Desired Qualifications
  • ASQ Certified Quality Engineer, Certified Quality Auditor, or Certified Quality Manager certification.
  • Lean Six Sigma Black Belt or Master Black Belt certification.
  • AWS Certified Welding Inspector designation or formal non-destructive examination training.
  • Specific exposure to UL 891, UL 508, NRTL certification programs, or NETA ATS specifications.
  • Experience with enterprise Quality Management System software platforms, QMS, ERP, and MES integrations, and advanced quality data analytics.
  • Experience scaling quality organizations within mission-critical infrastructure, data centers, power distribution, switchgear, or industrial controls industries.
  • Bachelor's or master's degree in Electrical Engineering, Mechanical Engineering, Manufacturing Engineering, Industrial Engineering, Quality Engineering, or a related technical discipline.

Crusoe Energy Systems uses wasted, stranded, or clean energy sources to power high-performance computing and AI workloads. It turns otherwise unused energy into scalable computing resources and offers technical support to enterprises in AI and data-intensive fields. Unlike traditional data centers, Crusoe colocates infrastructure at energy sources to capture excess energy and convert it into computer power, reducing emissions. Its goal is to help the energy transition by providing climate-aligned, reliable computing while boosting resource efficiency.

Company Size

1,001-5,000

Company Stage

Series F

Total Funding

$18.7B

Headquarters

Denver, Colorado

Founded

2018

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Simplify Jobs

Simplify's Take

What believers are saying

  • September 3, 2026 funding delivered over $3 billion for expansion.
  • March 2026 Microsoft deal added 900 MW and lifted Abilene to 2.1 GW.
  • July 2026 Childress campus with Lancium added another 1.0 GW pipeline.

What critics are saying

  • Texas regulators rejected Crusoe's proportional curtailment plan on July 24, 2026.
  • TCEQ's Abilene gas-plant permit stayed open through September 2, 2026.
  • Google-linked gas power at Goodnight can trigger 4.5 million annual tons CO2.

What makes Crusoe unique

  • Crusoe combines AI data centers with behind-the-meter power and gas generation.
  • March 2026 Abilene expansion targeted Microsoft, alongside OpenAI and Oracle workloads.
  • September 2026 financing hit $30 billion, signaling rare hyperscaler-scale execution.

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Benefits

Industry competitive pay

Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents

Paid life insurance, short-term and long-term disability

Parental leave

Stock options in a fast-growing, well-funded technology company

Pet-friendly offices

Teladoc

401(k) with a 4% match

Unlimited time off

Cell phone reimbursement

Tuition reimbursement

Company paid commuter benefit; $100 per month

Calm

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

2%
Bloomberg Law
Sep 3rd, 2026
Crusoe Raises Over $3 Billion in Round at $30 Billion Valuation

Crusoe, a cloud-computing provider and data center developer doing business with OpenAI, Microsoft Corp. and Meta Platforms Inc., has raised over $3 billion in a funding round that values the startup at roughly $30 billion, according to people familiar with the situation.

Yahoo Finance
Jul 31st, 2026
Crusoe plans $1B expansion of Google-linked Texas data centre with two new buildings

Crusoe has registered two additional data-centre buildings at its Goodnight campus near Claude, Texas, with estimated construction costs totalling $1 billion, according to state filings. The buildings would add approximately 1.61 million square feet to the Armstrong County development, also known as Project Llano. Each single-storey structure is planned at roughly 805,380 square feet, with multiple data halls, office space and support areas. Public reporting has linked Google to the campus development through intermediary Ensign Infrastructure. Building 3 is scheduled for completion on 1 August, whilst Building 4 has a March 2027 completion date. Power plans include grid-supplied electricity and potential on-site generation, with a natural-gas plant proposal for up to 933 MW capacity. Separately, Crusoe announced a partnership with Aalo Atomics to examine modular nuclear generation for future data centres.

Yahoo Finance
Jul 21st, 2026
Crusoe and ON.energy to deploy 5GW of AI UPS™ across multiple hyperscale campuses

Crusoe and ON.energy have announced a partnership to deploy 5 gigawatts of AI UPS™ technology across multiple hyperscale campuses, with commissioning starting in 2026 and continuing into 2027. AI data centres create unprecedented grid challenges. During training, thousands of GPUs ramp up and down in synchronised bursts, causing power demand fluctuations hundreds to thousands of times daily. These load swings can propagate through interconnection points into transmission systems. ON.energy's patented AI UPS™ is a medium-voltage uninterruptible power system that sits between power sources and data centres. It decouples facilities from the grid, protecting equipment during voltage faults whilst preventing GPU load swings from affecting the grid. The technology has been validated against ERCOT's Large Load Interconnection requirements, meeting grid stability and voltage ride-through standards.

Associated Press
Jul 15th, 2026
Crusoe and Lancium to build 1GW AI data centre campus in Texas

Crusoe and Lancium announced a 1.0 gigawatt AI data centre campus in Childress, Texas. The grid-connected facility will span 270 acres owned by Lancium, which will develop and manage the site's energy infrastructure, whilst Crusoe will design, build and operate the data centre. Construction is expected to begin in the third quarter of 2026, creating thousands of construction jobs and over 100 permanent positions. The campus will support deployment of hundreds of thousands of advanced AI accelerators for training or inference. This marks the second site using the same partnership structure between the companies, following their collaboration in Abilene. The development will feature closed-loop, non-evaporative liquid cooling systems and behind-the-metre solar and energy storage resources.

Associated Press
Jul 7th, 2026
Crusoe launches serverless fine-tuning and self-serve inference for open AI models

Crusoe, an AI infrastructure company, has launched Serverless Fine-Tuning and Self-Serve Deployments in its Crusoe Intelligence Foundry platform. The new capabilities allow data scientists and ML engineers to customise open-source AI models with proprietary data and deploy them to production without managing infrastructure. Serverless Fine-Tuning enables teams to launch fine-tuning jobs through a simple interface, selecting from curated open-weight models and uploading custom datasets. Jobs run on distributed AI-optimised infrastructure with automated recovery. Completed model weights are provided in portable format and can be deployed immediately or downloaded for external use. Self-Serve Deployments offer production-grade inference on NVIDIA H100 or H200 GPUs, billed per GPU hour. Teams can deploy models directly from fine-tuning workflows or select base models optimised for throughput or responsiveness. Both features will be generally available next week.