---
title: 'Decision Engineer, Manufacturing & Supply Chain at Fluidstack'
canonical: 'https://feeny.ai/job/decision-engineer-manufacturing-supply-chain-fluidstack-new-york-h7rpe3r6xjhm'
type: 'job'
last_seen: '2026-09-13'
---

# Decision Engineer, Manufacturing & Supply Chain at Fluidstack

- **Company:** [Fluidstack](https://feeny.ai/companies/fluidstack)
- **Location:** New York, NY
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-10
- **Last confirmed live:** 2026-09-13
- **Apply:** https://jobs.ashbyhq.com/fluidstack/717a792e-bd03-40c3-acf6-48e360a9034b

## Job description

## About Fluidstack

We exist to make humanity more free. For most of human history, you farmed or you starved. Technology gave people more time for the things they wanted to do, instead of things they had to do. Powerful AI will be the biggest lever for human choice we've ever built - but only if models are aligned with what humanity actually wants. There are groups building AI who don't share these goals. Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human freedom or shrinks it.

We're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. We acquire power, design and build data centers, and operate them - with teams spanning hardware and software. Speed and scale are our key differentiators. Come be a part of building civilization-scale infrastructure for AI.

We hire people who care deeply about this problem space. If that is you, please apply!

## How We Operate

- Be a barrel. Full autonomy. Own things end to end, take on scope without being asked, no permission required to operate outside your core role.
- Insane urgency. We drive everything forward as fast as possible.
- Reason from first principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins.
- Love of the game. The frontier of AI is the most interesting problem of our time. We put in long hours at high intensity to push the frontier forward.
- Build something that actually matters. If you're going to spend your time, spend it on something that matters to the world.

The Decision Team Examples of key problems the team is working on

- Automate the delivery of gigawatts. Every process that takes AI infrastructure from land to live compute becomes software: schedules, decisions, and todos generated from a live knowledge graph instead of chased by hand.
- Forward-deploy beside the experts. Product teams sit with quality managers, sourcing leads, and deployment engineers on factory floors and sites, and turn their judgment into systems that reach every unit.
- Deliver every supercomputer faster than the last. Dozens of concurrent projects feed one graph, so every lesson learned at one site becomes a preventive check at all of them.

## Role Scope

- Turn the bill of materials into the order book: every template bill carries the price and lead time of each line, every project bill locks against a building, and every purchase order derives from it, so tens of billions of dollars of GPUs, optics, switchgear, and cooling are ordered from one source of truth instead of a spreadsheet.
- Make procurement tracking trustworthy: the rules that decide when a line is late, what its status means, and which lines sit on the critical path run in code against live vendor emails, documents, and general contractor purchase orders through the extractors you ship, so drift is caught the week it happens and the recovery plan is drafted before the vendor calls.
- Close the loop from receiving to payment: every delivery matches a purchase order line, every warehouse bin knows its serial numbers, cycle counts are scored against an accuracy gate, and finance three-way matches from the same record, so the question "did we get what we paid for" has one answer instead of three.
- Ship manufacturing as software before the factory opens: manufacturing bills of materials, engineering change notices, and the drawing tree live in one model, inspection and test plans and first article procedures generate per asset from the design revision, and a failed check opens a nonconformance with the evidence attached and rescores the vendor.
- Embed with sourcing leads, quality managers, factory operators, and warehouse teams, on their floors and in their vendor calls, and turn their judgment into the systems that decide the order schedule, the cash demand by month, and the payment schedule the company plans against.

## What We're Looking For

The below is a starting point. We always make space for exceptional people, so if you don't fit this role exactly, [tell us where you would](https://jobs.ashbyhq.com/fluidstack/05c2e69c-42f9-4fcb-9cf0-a467aaf98f1c).

- You've shipped production code in Go, Python, or TypeScript, and you pick up whatever language the problem demands.
- You've built real features on LLM APIs (OpenAI, Anthropic, or open-weight models), MCP servers, and agentic frameworks, and you've put document extraction into production against messy real inputs.
- You work daily with AI coding tools like Claude Code and Cursor, and you get agents doing useful work autonomously alongside you.
- You identify problems, design the solution, and ship it without waiting for direction or approval.
- You've moved fast under deadline while leaving data models and foundations that other engineers extended after you moved on.
- You've earned credibility with operators in factories, warehouses, or procurement, and driven adoption of your software inside their real deadlines, like a live production run or a quarter-end close.
- Your product taste shows in what you've shipped: interfaces the floor calls obvious, and workflows that match how the work actually happens.
- Bonus: MES, ERP, WMS, or TMS systems. BOM lineage, engineering change control, and serialized component traceability. Supplier quality (NCRs, CAPA, FAI). Three-way match and receiving reconciliation. LLM extraction over vendor documents. High-volume hardware supply chains.

Benefits:

- Competitive total compensation package (cash + equity)
- Health, dental, and vision insurance
- Retirement plan
- Generous PTO policy

We are committed to pay equity and transparency. Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

You will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email, please email careers@fluidstack.io with your resume/CV, the role you've applied for, and the date you submitted your application-- someone from our recruiting team will be in touch.

## About Fluidstack

## Company Overview
- **One-liner**: Fluidstack builds and operates gigawatt-scale AI data centers and provides fully managed GPU cloud clusters for frontier AI labs, governments, and enterprises.
- **Entity Type**: Private (Series A stage; total funding of $11.0B)
- **Headquarters**: New York, New York, United States
- **Founded**: 2017
- **Founders**: Gary Wu (CEO)

## Core Business
- **Primary Industry**: AI Infrastructure / Data Center Construction & Operations / Cloud Computing
- **Target Customers**: Leading AI labs (e.g., Anthropic, poolside), governments, and large enterprises requiring massive-scale compute for training and inference.
- **Mission Statement**: "We exist to make humanity more free... Powerful AI will be the biggest lever for human choice we've ever built — but only if models are aligned with that objective."

## Products & Services
- **Fully Managed GPU Clusters**: Multi-thousand GPU clusters delivered with zero setup, fully managed (no node touching by the customer), with 15-minute engineering response SLAs and built-in monitoring and remediation. Purpose-built for AI workloads.
- **Custom Data Centers**: Design, build, and operate greenfield data centers from the ground up, delivering gigawatts of compute in 6 months versus the industry standard of 18-24 months. Includes power acquisition, site selection, and civil/electrical/mechanical engineering.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Total Funding**: $11.0 billion (across 14 rounds). Key rounds include a $750M venture round (March 2026) and a $200M Series A led by Cacti (February 2025).
- **Key Metric**: $11.0B in total funding; leading the deployment of Anthropic’s $50B compute buildout, one of the largest infrastructure projects in US history.
- **Notable Investors/Partners**: Cacti (lead investor), Anthropic (customer/partner), poolside (customer).
- **Growth Signals**: Headcount grew 516.7% year-over-year to 143 employees. Currently has 270 active job postings. Expanding rapidly across the US (NY, SF, Austin, Seattle, Buffalo) and internationally (UK, France, Sweden, Nigeria, Switzerland).

## Competitive Advantages
- **Speed of Deployment**: Can deliver gigawatts of compute in 6 months vs. the industry’s 18-24 months, giving them a massive first-mover advantage in a capital-constrained market.
- **Full-Stack Control**: They acquire power, design and build data centers, and operate them — owning the entire hardware and software stack from power generation to GPU orchestration.
- **Tier-1 Customer Base**: Trusted by the world’s most ambitious AI labs (Anthropic, poolside), providing both credibility and a feedback loop for product improvement.
- **Purpose-Built Platform**: Not general-purpose cloud; their platform is specifically optimized for AI researchers, removing all infrastructure friction (no K8s configs, no bare metal management).

## Strategic Focus
- **Massive Scale Buildout**: Deploying Anthropic’s $50B data center project across New York and Texas, representing one of the largest infrastructure projects in US history.
- **Global Expansion**: Expanding operations across 8 countries and multiple US states, with a heavy focus on data center site acquisition, power generation, and modular design.
- **Talent Acquisition**: Aggressively hiring across engineering, construction, operations, security, and project management roles to support hypergrowth.

## Why Work Here
- **Mission-Driven Work**: Directly building the physical infrastructure for the next generation of AI — a rare opportunity to work on frontier technology with tangible, large-scale impact.
- **Rapid Growth Trajectory**: 516.7% headcount growth YoY with 270 open positions signals massive opportunity for career acceleration and ownership.
- **Technical Depth**: Work spans hardware (electrical, civil, mechanical engineering for data centers) and software (GPU cluster orchestration, monitoring, infrastructure platform engineering), offering diverse technical challenges.
- **Top-Tier Talent Pool**: Employees come from AWS, Tesla, Crusoe, Palantir, Oracle, and Meta, indicating a high-caliber, ambitious work environment.
- **Work Policy**: Remote-friendly for many roles, with hubs in San Francisco, New York, Austin, Seattle, and Buffalo. Departments span Engineering, Operations, Data Center, Security, and more.
- **Culture**: Emphasis on speed, autonomy, and removing friction — "We build technology to enable delivery of gigawatts of compute in 6 months" — reflecting a bias for action and operational excellence.

## Sources
1. [fluidstack.io](https://www.fluidstack.io/)
2. [fluidstack.io/about-us](https://www.fluidstack.io/about-us/about)
3. [fluidstack.io/jobs](https://fluidstack.io/jobs)
4. [LinkedIn](https://es.linkedin.com/company/fluidstack)
5. [CB Insights](https://www.cbinsights.com/company/fluidstack)

## Other roles at Fluidstack

- [IT Engineer](https://feeny.ai/job/it-engineer-fluidstack-phoenix-bpk7wfnwt9ac) — Phoenix, AZ
- [Chief Engineer, MV Switchgear](https://feeny.ai/job/chief-engineer-mv-switchgear-fluidstack-austin-va3czw7zp1be) — Austin, TX
- [Chief Engineer, LV Switchboards & Distribution Busway](https://feeny.ai/job/chief-engineer-lv-switchboards-distribution-busway-fluidstack-austin-thng7c9s4b0r) — Austin, TX
- [Chief Engineer, Electrical Skids & E-Houses](https://feeny.ai/job/chief-engineer-electrical-skids-e-houses-fluidstack-austin-5p8j7kg5n6yf) — Austin, TX
- [Supply Chain Manager, R&D](https://feeny.ai/job/supply-chain-manager-r-d-fluidstack-austin-vagyagmctmbn) — Austin, TX
- [Structural Engineer, R&D](https://feeny.ai/job/structural-engineer-r-d-fluidstack-austin-mkk3awc975n7) — Austin, TX
- [Power Electronics Engineer, R&D](https://feeny.ai/job/power-electronics-engineer-r-d-fluidstack-austin-95bkh5jqq22x) — Austin, TX
- [Controls Engineer, R&D](https://feeny.ai/job/controls-engineer-r-d-fluidstack-austin-ndphk69f9kmp) — Austin, TX
- [Test Engineer, R&D](https://feeny.ai/job/test-engineer-r-d-fluidstack-austin-dfsdp8t8xf45) — Austin, TX
- [Fluids / Mechanical Engineer, R&D](https://feeny.ai/job/fluids-mechanical-engineer-r-d-fluidstack-austin-dznj0gj6zfw3) — Austin, TX