Principal Network Production Engineer, Spark
Crusoe · San Francisco, CA - US · Sunnyvale, CA - US · Bellevue, WA - US
Infrastructureonsiteprincipal$285k–$335k
At a glance
Highlights
- Own network lifecycle from site design through running production AI workloads.
- Define deployment standards for new data centers and backbone interconnects.
- Lead incident response and reliability improvements for GPU clusters.
What they offer
- Restricted Stock Units
- Paid time off, paid holidays & leave of absence programs
- Comprehensive health, dental & vision insurance
- Employer contributions to HSA account
- Paid parental leave
- Paid life insurance, short-term and long-term disability
- Professional development & tuition reimbursement
- Mental health & wellness support
- Commuter benefits (parking & transit)
- Cell phone stipend
- 401(k) retirement plan with company match up to 4% of salary
- Volunteer time off
- Global travel insurance & emergency assistance
- Daily meals allowance
Ideal candidate
Senior network leader who thrives at hyperscale and owns systems end-to-end. You mentor engineers, partner cross-functionally, and are driven to keep innovative AI clouds online.
Requirements
- Experience running network on-call and incident response at scale, with knowledge of monitoring and telemetry, SLOs and change management
- Proven ability to lead multiple complex deployment and operational programs across time zones with executive communication
- Able to diagnose physical and link-layer issues using OTDRs, light meters, and packet captures and teach others
- Bachelor's degree in technical field or equivalent practical experience in hyperscale or ISP environments
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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