Job Overview
Location
Austin, TX
Job Type
Full-time
Category
Software Engineering
Date Posted
July 6, 2026
Full Job Description
đź“‹ Description
- • Design and develop standardized controls packages for modular data center builds, ensuring one validated design set is reused across all sites to eliminate redundant project-by-project redrawing.
- • Author sequences of operations (SOOs) that define the runtime behavior of mechanical and electrical systems, serving as the authoritative source for programming teams implementing control logic in real controllers.
- • Create and maintain standardized points lists and bills of materials (BOMs) that specify instrumentation, I/O, and controls hardware for every modular data center deployment, ensuring consistency and minimizing change orders.
- • Own the Division 25 Integrated Automation Specification end to end, continuously updating it to reflect evolving equipment, vendor specifications, and site design changes.
- • Coordinate controls design across mechanical, electrical, and commissioning teams to ensure alignment between system requirements, equipment capabilities, and commissioning test protocols.
- • Eliminate coordination gaps between disciplines before they reach field implementation by proactively identifying misalignments in scope, specification, or interface definitions.
- • Translate one-off engineering solutions into repeatable, template-based designs that enable scalable, high-speed deployment of 50GW+ of data center capacity this decade.
- • Ensure controls designs are implemented without requiring contractor or programmer clarification, producing clear, unambiguous documentation that drives flawless execution.
- • Apply first-principles thinking to challenge existing assumptions in controls architecture, optimizing for speed, reliability, and automation in frontier AI infrastructure.
- • Support autonomous and robotic deployment initiatives by designing controls systems that enable plug-and-play commissioning at Level 4 and Level 5 automation standards.
- • Integrate behind-the-meter energy systems, real-time load control, and MEP systems into unified automation frameworks that support grid-responsive, high-efficiency data center operations.
- • Maintain deep familiarity with BACnet and Modbus protocols, BMS and SCADA platforms, and CSI MasterFormat standards to ensure technical accuracy and industry compliance.
- • Drive automation of commissioning processes through standardized digital controls templates that reduce manual intervention and accelerate time-to-operational.
- • Work with high velocity and extreme ownership, often expanding scope beyond core responsibilities to ensure project milestones are met without delay.
- • Contribute to building civilization-scale AI infrastructure by ensuring controls systems are reliable, scalable, and aligned with the mission of expanding human freedom through compute.
🎯 Requirements
- • Produced controls design packages, drawings, points lists, or specifications that contractors or programmers implemented without requiring clarification.
- • Written sequences of operations for mechanical or electrical systems and seen them successfully implemented in real controllers, understanding where vague SOOs fail in code.
- • Authored or owned a Division 25 Integrated Automation Specification or equivalent controls specification and maintained its accuracy across multiple projects.
- • Built standard points lists and BOMs and understand how incorrect point counts or mis-specified devices lead to costly change orders months after deployment.
- • Designed for repeatability, transforming one-off engineering into reusable templates to avoid redrawing every project from scratch.
- • Identified and resolved coordination gaps between mechanical, electrical, and controls scopes before they reached the field.
🏖️ Benefits
- • Compensation of $200,000 - $250,000 per year, based on experience, skills, qualifications, and location.
- • Equity in the form of stock options.
- • Extreme ownership and full autonomy in role execution.
- • High-velocity work environment focused on pushing the frontier of AI infrastructure.
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About FluidStack Inc.
FluidStack Inc. operates a distributed cloud platform that aggregates under-utilized GPUs in data centers and individual machines worldwide, renting them on-demand to AI researchers, startups, and enterprises for training and inference workloads. The company automates deployment, security, and billing, offering prices up to 80% below traditional hyperscalers while providing instant access to high-end NVIDIA A100, H100, and consumer GPUs through a single API and web console. Headquartered in London, FluidStack targets machine-learning engineers who need scalable, low-cost compute without long-term commitments, claiming thousands of active nodes and customers including Fortune 500 enterprises and leading research labs.
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