Project Manager
0x LabsFull Time
Junior (1 to 2 years)
Key technologies and capabilities for this role
Common questions about this position
Compensation will be paid in the range of up to $155K - 188K + Bonus, with Restricted Stock Units included in all offers. The final amount is determined by the applicant's knowledge, education, and abilities.
This is an onsite position.
Candidates need 7+ years of professional engineering experience in civil/site design, experience with design management and leading teams of design professionals, and the ability to work in a fast-paced environment. A Professional Engineering license and data center experience are preferred but not required.
Benefits include industry competitive pay, Restricted Stock Units, health insurance options (HDHP, PPO, vision, dental), employer HSA contributions, paid parental leave, paid life insurance, short/long-term disability, Teladoc, 401(k) with 100% match up to 4% of salary, generous PTO and holidays, cell phone reimbursement, tuition reimbursement, Calm app subscription, MetLife Legal, and $300/month commuter benefit.
A strong candidate will have 7+ years in civil/site design engineering, experience leading design teams in fast-paced environments, and expertise in site feasibility, geotechnical reviews, and large campus master planning. Data center experience and a Professional Engineering license are preferred.
Utilizes wasted energy for computing power
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.