[Remote] Principal Operations Engineer, Hardware — Data Center Operations
Note: The job is a remote job and is open to candidates in USA. Fluidstack is focused on delivering compute infrastructure for AI, aiming to enhance human freedom through technology. They are seeking a Principal Operations Engineer, Hardware to lead the operational hardware fleet across their AI data centers, ensuring reliability and continuous improvement of deployed systems.
Responsibilities
- 10+ years of hands-on experience operating mission-critical hardware infrastructure, with at least 5 years as the senior technical voice on a site, campus, or fleet
- Data center operations experience strongly preferred; hyperscale, large HPC, cloud, or other mission-critical compute infrastructure experience considered
- Deep working command of GPU systems, server platforms, storage infrastructure, firmware lifecycle management, and hardware diagnostics — earned in the field, not from a textbook
- Demonstrated ability to author, approve, and execute high-risk MOPs and change records in live production environments
- A track record of leading root cause analysis on significant hardware events and driving corrective actions to closure
- A track record of holding OEMs, ODMs, service vendors, and deployment partners accountable — you know how to enforce a standard without burning the relationship
- Strong written communication: operational health assessments, RCAs, procedure reviews, and design review feedback are second nature
- Comfort operating as the senior technical voice across operations, hardware engineering, network, facilities, supply chain, and customer-facing teams
- Willingness to travel extensively across the fleet. 50-75%
Skills
- 10+ years of hands-on experience operating mission-critical hardware infrastructure, with at least 5 years as the senior technical voice on a site, campus, or fleet
- Data center operations experience strongly preferred; hyperscale, large HPC, cloud, or other mission-critical compute infrastructure experience considered
- Deep working command of GPU systems, server platforms, storage infrastructure, firmware lifecycle management, and hardware diagnostics — earned in the field, not from a textbook
- Demonstrated ability to author, approve, and execute high-risk MOPs and change records in live production environments
- A track record of leading root cause analysis on significant hardware events and driving corrective actions to closure
- A track record of holding OEMs, ODMs, service vendors, and deployment partners accountable — you know how to enforce a standard without burning the relationship
- Strong written communication: operational health assessments, RCAs, procedure reviews, and design review feedback are second nature
- Comfort operating as the senior technical voice across operations, hardware engineering, network, facilities, supply chain, and customer-facing teams
- Willingness to travel extensively across the fleet. 50-75%
- Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or related field
- Hyperscale or large-scale compute operational experience supporting thousands of servers and accelerator systems
- Direct experience operating modern GPU platforms at production scale
- Strong working knowledge of Linux administration, hardware management tooling, and production troubleshooting workflows
- Experience supporting liquid-cooled compute infrastructure and the operational practices required to maintain it
- Experience operating across multiple sites or as part of a global fleet operations function
- Experience standing up new sites from deployment handover through steady-state
- Experience contributing operational requirements into hardware platform decisions, reference architectures, or productized data center builds
- Scripting and automation experience in support of fleet-scale hardware operations
Benefits
- Offers Equity
- Retirement or pension plan, in line with local norms.
- Health, dental, and vision insurance.
- Generous PTO policy, in line with local norms.
Company Overview
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