Engineer II, Load Interconnection at Crusoe

Denver, Colorado, United States

Crusoe Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Energy, Sustainable Technology, AI InfrastructureIndustries

Requirements

  • Master's degree in Power Systems with 1+ years of experience in power system or Bachelor’s degree and 3+ years of experience in planning, system modeling, and grid code compliance studies
  • Strong working knowledge of ERCOT or SPP interconnection procedures
  • Working knowledge of TARA, PSS/e and/or PSCAD-EMTDC
  • Excellent communication, problem-solving, and report writing skills

Responsibilities

  • Performing and supporting grid integration studies for large-load facilities
  • Running technical power flow studies and supporting the submission of interconnection applications for Crusoe's facilities, ensuring technical data verification and sufficiency at various stages within ERCOT and SPP markets
  • Managing transmission injection
  • Performing load deliverability studies in ERCOT and SPP based on regional criteria
  • Contributing to the technical development of new hires, sharing knowledge and best practices in grid integration
  • Working with internal teams to understand project needs, drafting technical specifications, and supporting the business development team on the technical aspects of proposals related to grid integration
  • Staying abreast of industry trends, attending conferences, and supporting other travel as required for projects and professional development
  • Being responsible for the dynamic modeling of various large-load facilities to meet the modeling requirements for ERCOT and SPP, using tools such as PSS/e and PSCAD-EMTDC

Skills

Power Systems
Grid Integration
Power Flow Studies
Interconnection Studies
ERCOT
SPP
MISO
PJM

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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