Inventory Controls Specialist, Data Center at Crusoe

Springfield, Ohio, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

AI Infrastructure, Cloud Computing, Data CentersIndustries

Requirements

3+ years of experience in inventory control, logistics, or asset management, ideally in a data center environment
Familiarity with server, GPU, and networking hardware
Experience using inventory systems, barcoding, and tracking tools
Strong organizational skills and attention to detail
Associate’s degree or equivalent experience in IT, logistics, or supply chain
Excellent communication skills and ability to follow established procedures
Ability to lift and move equipment up to 50 lbs in a data center environment
Must be able to pass a background check

Responsibilities

Track and maintain inventory of hardware assets (servers, GPUs, networking gear) using asset management tools and best practices
Receive and audit incoming shipments; verify equipment and report discrepancies or damage
Manage the lifecycle of all hardware from staging and testing through deployment and decommissioning
Monitor and replenish critical spare parts inventory to support timely repairs and build readiness
Coordinate inter-site shipments and vendor returns, ensuring correct labeling, documentation, and tracking
Manage Return Merchandise Authorization (RMA) process, including ticketing and vendor communication
Collaborate with deployment technicians and data center staff to support active operations
Document inventory-related standard operating procedures (SOPs) and contribute to process improvements

Skills

Inventory Management

Asset Tracking

Hardware Auditing

RMA Processing

Vendor Communication

Shipment Coordination

Data Center Operations

SOP Documentation

GPU Management

Server Inventory

Networking Gear

Crusoe

Utilizes wasted energy for computing power

About Crusoe

Crusoe Energy Systems Inc. provides digital infrastructure that focuses on using wasted, stranded, or clean energy sources to power high-performance computing and artificial intelligence. The company helps clients in the technology and energy sectors by offering scalable computing solutions that aim to reduce greenhouse gas emissions and support the transition to cleaner energy. Crusoe's approach involves converting excess natural gas and renewable energy into computing power, which allows them to maximize resource efficiency while minimizing environmental impact. Unlike many competitors, Crusoe specifically targets the intersection of energy and technology, generating revenue by supplying computing resources to enterprises that need significant computational power for applications like AI and machine learning, along with providing technical support.

Denver, ColoradoHeadquarters

2018Year Founded

$1,082.2MTotal Funding

SERIES_DCompany Stage

Energy, AI & Machine LearningIndustries

201-500Employees

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

Risks

Increased competition in AI infrastructure could threaten Crusoe's market share.

Regulatory scrutiny may arise from Bitcoin mining's environmental concerns.

Rapid expansion into AI infrastructure may lead to operational challenges.

Differentiation

Crusoe converts wasted energy into computing power, reducing environmental impact.

The company offers scalable solutions for AI and high-performance computing needs.

Crusoe's Digital Flare Mitigation technology utilizes natural gas for eco-friendly Bitcoin mining.

Upsides

Crusoe secured $600M in Series D funding, boosting AI infrastructure expansion.

Partnerships with tech firms enhance Crusoe's AI capabilities and market reach.

AI-driven energy optimization can significantly reduce operational costs in data centers.

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