
Job Overview
Location
U.S. Remote
Job Type
Full-time
Category
DevOps
Date Posted
July 10, 2026
Full Job Description
đź“‹ Description
- • Design pick, pack, receiving, and RMA workflows for each site's warehouse layout, optimizing for travel distance, throughput, and dock-to-floor time.
- • Run time and motion studies on warehouse and dock processes, and use the data to set the standard work each site trains against.
- • Model rack, dock door, and staging layouts for new and existing sites, balancing throughput against real estate cost.
- • Build the process documentation and standard work instructions that let a new site ramp to full productivity in weeks, not months.
- • Partner with the WMS and IMS system build teams to make sure new tooling matches the physical workflow, not the other way around.
- • You've designed or re-designed a warehouse layout and can point to the throughput or cost improvement it produced.
- • You've run a time and motion study and turned it into a standard work instruction that a new hire could follow on day one.
- • You've modeled dock, rack, or staging capacity against real operational data, not rule-of-thumb assumptions.
- • You've partnered with a systems team to make sure new software matched a real physical process instead of forcing the process to bend to the software.
- • You get to a site, watch how work actually happens, and find the waste that nobody built a report to catch.
- • Bonus: Lean Six Sigma or industrial engineering background. Experience in data center, manufacturing, or high-throughput distribution environments. Familiarity with warehouse simulation or layout modeling tools.
🎯 Requirements
- • 5+ years of experience in industrial engineering, logistics, or a related field.
- • Proven track record of designing and implementing warehouse layouts and processes that improve throughput and reduce costs.
- • Strong analytical and problem-solving skills, with the ability to collect and analyze data to inform process improvements.
- • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
- • Bachelor's degree in Industrial Engineering, Logistics, or a related field.
🏖️ Benefits
- • Competitive total compensation package (salary + equity).
- • Retirement or pension plan, in line with local norms.
- • Health, dental, and vision insurance.
- • Generous PTO policy, in line with local norms.
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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