Senior Construction Scheduler, Data Center
Crusoe · San Francisco, CA - US
Infrastructureonsitesenior$165k–$210k
At a glance
Highlights
- Support planning and delivery of hyperscale data center infrastructure.
- Lead critical path reviews and risk assessments to keep large-scale builds on track.
- Conduct site visits to validate progress and guide recovery plans for delays.
What they offer
- Competitive compensation with bonus
- Restricted Stock Units
- Paid time off and paid holidays
- Comprehensive health, dental and vision insurance
- Employer HSA contributions
- Paid parental leave
- Life insurance and short-term and long-term disability
- Professional development and tuition reimbursement
- Mental health and wellness support
- Commuter benefits for parking and transit
- Cell phone stipend
- 401(k) with company match up to 4% of salary
- Volunteer time off
Ideal candidate
A proactive problem-solver with large-scale construction experience who thrives amid ambiguity and urgency and cares about building energy-first infrastructure for AI's future.
Requirements
- 5+ years of hands-on experience with Primavera P6 or MS Project on large-scale construction projects
- Experience with data centers, high-tech infrastructure, or mission-critical facilities strongly preferred
- Familiarity with float management, critical path method (CPM), and sequencing logic
- Bachelor's degree in Engineering, Construction Management, or related field or equivalent experience
- Strong communication skills with ability to synthesize complex schedule data for stakeholders and leadership
- Proficiency in Primavera P6, Smartsheet and Microsoft Office
- PMP, PSP (AACE), or CMMA certification a plus
Lab profile
About Crusoe
Vertically integrated AI infrastructure company powering ambitious AI workloads from electrons to tokens.
What they build
- Crusoe Cloud for AI workloads
- Purpose-built AI data centers
- Managed GPU infrastructure
Known for
- Vertically integrated from electrons to tokens
- Owns and operates full infrastructure stack
- Built for large-scale AI workloads
Key facts
- Founded in 2018
- Headquartered in San Francisco, CA
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