Master Scheduler at Crusoe

Tulsa, Oklahoma, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI Infrastructure, Cloud Computing, ManufacturingIndustries

Requirements

Not specified

Responsibilities

Create and maintain the master production schedule to ensure continuous and efficient plant operations across multiple manufacturing locations
Analyze resources, determine production rates, and crunch data to ensure accurate resource-allocated production schedules
Create insightful scheduling reports to identify material shortages, potential customer shipment issues, and labor requirements
Communicate the 3-week and 12-week master schedule clearly and effectively with the Production Manager, Production Schedulers, and Project Managers, including leading production schedule review meetings, providing project status updates, and communicating potential delays
Review schedules and proactively identify potential workforce, materials, and shipping issues, communicating these to the leadership team
Continuously monitor, identify, and manage improvements to the overall scheduling process
Proactively help identify critical paths, resolve resource conflicts, address material availability challenges, and troubleshoot manufacturing issues
Interface with MRP data to incorporate production rates, material availability, and project timelines into the master schedule
Drive strong cross-departmental cooperation between procurement, materials management, and production departments to ensure accuracy of lead times, current inventories, and project timelines

Skills

Production Scheduling

Data Analytics

Resource Allocation

Report Generation

Process Improvement

Critical Path Analysis

Supply Chain Management

Excel

ERP Systems

Meeting Facilitation

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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