Network Engineer, Team Lead
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
Extreme ownership. Full autonomy. Own things end to end often taking on scope outside your core role without being asked to get things done.
Velocity. We drive everything forward as fast as possible.
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.
The Network Team
Examples of key problems the team is working on
Build the networks the frontier of AI trains on. Fabrics for 100k+ accelerator clusters, backbones between gigawatt campuses, and every network in between.
Run 10s to 100s of GWs of networks as one machine. Training fabrics for 100k+ accelerators, backbone, corp, and BMS/EPMS, one architecture across gigawatt campuses.
Deliver a full site network in days, not quarters. Designs generated from source-of-truth models, devices turned up by ZTP, every link validated by machine. At this scale, manual is an outage.
Role Scope
Lead the network engineering team: hiring, growth, priorities, and delivery across design and operations.
Own the network roadmap from fabric generations to backbone expansion, sequenced to the build plan.
Run the operating rhythm between design, deployment, and production so the network org moves as one.
Build the team ahead of demand: networks at this scale need engineers the market barely produces.
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.
You've led network engineering organizations through rapid scale.
You've hired network engineers in a market where everyone is hiring them.
You balance roadmap work and operations without letting either starve.
Engineers you've led ship faster because of how you run the team.
Bonus: AI and HPC networking. Multi-site programs. Vendor relationship ownership. Automation-first organizations.
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.
Sourcing Manager, Site Readiness
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
Extreme ownership. Full autonomy. Own things end to end often taking on scope outside your core role without being asked to get things done.
Velocity. We drive everything forward as fast as possible.
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.
The Supply Chain Team
Examples of key problems the team is working on
Supply compute at a scale of 10s to 100s of GWs, the largest build out of compute in history. Qualify and dual-source across every critical equipment category, with lead-time and capacity thresholds tied directly to the forward build pipeline.
Make supply chain the reason we build faster than anyone. Our modular build redefines speed in this industry, and it lives or dies on supply chain. Keep procurement permanently off the critical path so schedule compression stays our advantage, not our constraint.
Build the most accurate supply chain prediction modelling that exists. Use the frontier of AI to forecast lead times, demand, and disruption with a precision the industry has never had, and turn that foresight into a structural edge.
Role Scope
Own sourcing for everything a new site needs to go live: site services, temporary power and water, security, waste, and facilities support.
Build the site readiness sourcing playbook so each new site procures its full service stack in weeks, not months.
Negotiate regional and multi-site agreements that new sites inherit on day one.
Coordinate need-by dates with construction and operations so no service gap ever idles a site.
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.
You've sourced site services or indirect categories for multi-site industrial operations.
You've stood up procurement for a greenfield site and know every category that gets forgotten.
You build playbooks that make the second site faster than the first.
You negotiate rate cards that hold across geographies.
Bonus: Data center or construction site services. Utility coordination. Security services contracting. Facilities management agreements.
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.
Infrastructure Delivery Program Lead
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
Extreme ownership. Full autonomy. Own things end to end often taking on scope outside your core role without being asked to get things done.
Velocity. We drive everything forward as fast as possible.
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.
The Deployments Team
Examples of key problems the team is working on
Turn empty data halls into serving GPUs in weeks. Deployment owns everything between construction handover and customer-ready compute: racks, fabric, and validation at hundreds of megawatts per site.
Stand up gigawatts a year, hundreds of megawatts at a time. Data halls go from construction handover to serving GPUs in weeks, across multiple sites at once.
Deploy 10s to 100s of GWs with software, not headcount. Bring-up, validation, and handoff run on tooling the team builds, so the hundredth data hall deploys faster than the first instead of needing a hundred times the people.
Role Scope
Own end-to-end delivery per site: from construction handover through customer-ready compute, every workstream converging on the live date.
Run the delivery schedule integrating deployment, network turn-up, compute bring-up, and validation.
Chair the site delivery rhythm: blockers surfaced daily, escalated same-day, closed fast.
Own the readiness gate: a hall is done when the checklist proves it, not when everyone's tired.
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.
You've delivered complex infrastructure programs with many converging workstreams.
You run integrated schedules across teams you don't manage.
Your escalations arrive with recovery plans attached.
You've held a readiness bar under pressure to declare victory early.
Bonus: Data center delivery. GPU cluster bring-up exposure. Program management at scale. Handover frameworks.
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.
Mechanical Team Lead, Capacity Delivery
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
Extreme ownership. Full autonomy. Own things end to end often taking on scope outside your core role without being asked to get things done.
Velocity. We drive everything forward as fast as possible.
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.
The Capacity Delivery Team
Examples of key problems the team is working on
Engineer gigawatts from drawing to energized, in months not years. Capacity Delivery owns technical execution across every build: the drawings, the field questions, and the engineering calls that keep multiple concurrent gigawatt sites moving.
Engineer data centers that go up in months, not years. At that pace rework is not an option: problems get caught on paper or they cost a data hall.
Design it once, build it a hundred times. Every site's lessons roll into the reference design on the way to 10s to 100s of GWs, so each build starts ahead of the last.
Role Scope
Own mechanical engineering across the portfolio: cooling plants, liquid loops, and airside from reference design to energized.
Set the mechanical reference design for direct-to-chip liquid cooling and evolve it with each build's lessons.
Make the field mechanical calls, routing conflicts, equipment substitutions, sequence changes, at build speed.
Review consultant packages with owner-of-record rigor before they hit the field.
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.
You've led mechanical engineering for data center or heavy industrial programs.
You know liquid cooling at the design level: hydraulics, controls interface, redundancy.
You've made field engineering calls under schedule pressure that held up.
You manage design firms with technical authority, not just contract terms.
Bonus: PE license. Direct-to-chip cooling. Modular skid packages. Hydraulic and CFD modeling.
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.
Compute Engineer, Deployment Team Lead
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
Extreme ownership. Full autonomy. Own things end to end often taking on scope outside your core role without being asked to get things done.
Velocity. We drive everything forward as fast as possible.
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.
The Deployments Team
Examples of key problems the team is working on
Turn empty data halls into serving GPUs in weeks. Deployment owns everything between construction handover and customer-ready compute: racks, fabric, and validation at hundreds of megawatts per site.
Stand up gigawatts a year, hundreds of megawatts at a time. Data halls go from construction handover to serving GPUs in weeks, across multiple sites at once.
Deploy 10s to 100s of GWs with software, not headcount. Bring-up, validation, and handoff run on tooling the team builds, so the hundredth data hall deploys faster than the first instead of needing a hundred times the people.
Role Scope
Lead compute deployment across sites: the team and process taking GPU nodes from dock to validated clusters.
Own the compute deployment schedule per hall: thousands of nodes racked, imaged, burned in, and validated in weeks.
Build the bring-up factory: automation and crew workflows that scale across parallel sites.
Hold the validation bar: no cluster hands to production without proving its performance.
Travel 30-40% of the time to our Data Centers
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.
You've led compute or server deployment at data center scale.
You've built bring-up processes that cut deployment time by a large factor.
You've managed mixed teams of engineers and technicians.
You've refused to hand over hardware that didn't pass, under real pressure.
Bonus: GPU clusters. Deployment automation. HPC acceptance testing. Vendor integration programs.
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.
Fire Protection Engineer, Capacity Delivery
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
Extreme ownership. Full autonomy. Own things end to end often taking on scope outside your core role without being asked to get things done.
Velocity. We drive everything forward as fast as possible.
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.
The Capacity Delivery Team
Examples of key problems the team is working on
Engineer gigawatts from drawing to energized, in months not years. Capacity Delivery owns technical execution across every build: the drawings, the field questions, and the engineering calls that keep multiple concurrent gigawatt sites moving.
Engineer data centers that go up in months, not years. At that pace rework is not an option: problems get caught on paper or they cost a data hall.
Design it once, build it a hundred times. Every site's lessons roll into the reference design on the way to 10s to 100s of GWs, so each build starts ahead of the last.
Role Scope
Own fire protection engineering for assigned sites: design review, field support, and AHJ coordination.
Review sprinkler, detection, and special hazard designs against code and the reference design.
Support field installation and acceptance testing through AHJ sign-off.
Answer fire protection RFIs fast and route code questions to defensible answers.
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.
You've done fire protection engineering on commercial or industrial projects.
You review hydraulic calculations and detection layouts and catch errors.
You've run acceptance tests with the AHJ in the room.
You research code questions to primary sources, not to memory.
Bonus: FPE degree or PE track. NICET certifications. Special hazard systems. Data center experience.
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.
Facilities Production Engineer, Power
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
Extreme ownership. Full autonomy. Own things end to end often taking on scope outside your core role without being asked to get things done.
Velocity. We drive everything forward as fast as possible.
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.
The Data Center Operations Team
Examples of key problems the team is working on
Operate at the scale of a nation, not a building. The fleet you run will draw more power than some countries, on the way to 10s to 100s of GWs.
Fly the plane while it's being built. Sites come online in pieces, and you keep the live ones running flawlessly while construction continues around them.
Write the playbook, don't inherit it. No prior operations org has run at this speed and scale, so the standards you set become the standard.
Role Scope
Build the software and analytics layer over the power chain: utility to busway, EPMS data into decisions.
Model power capacity and consumption per site so operations knows its headroom in real time.
Build detection for power anomalies, imbalance, harmonics, drift, before they trip loads.
Automate power event analysis so post-event review takes minutes, not days.
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.
You've worked software-side on power systems: EPMS, metering, or power quality data.
You understand electrical distribution well enough to sanity-check your own analytics.
You've built monitoring that caught a real event early, and it mattered.
You write production code, not just notebooks.
Bonus: Data center power chains. Power quality analytics. Time-series ML. Electrical engineering background.
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.
Facilities Production Technical Lead
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
Extreme ownership. Full autonomy. Own things end to end often taking on scope outside your core role without being asked to get things done.
Velocity. We drive everything forward as fast as possible.
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.
The Data Center Operations Team
Examples of key problems the team is working on
Operate at the scale of a nation, not a building. The fleet you run will draw more power than some countries, on the way to 10s to 100s of GWs.
Fly the plane while it's being built. Sites come online in pieces, and you keep the live ones running flawlessly while construction continues around them.
Write the playbook, don't inherit it. No prior operations org has run at this speed and scale, so the standards you set become the standard.
Role Scope
Own technical direction for facilities production engineering: the software and data layer over the physical plant.
Architect the telemetry pipeline from BMS and EPMS into the tooling operators and engineers run on.
Set technical standards for controls integrations so every site speaks the same data language.
Lead the hardest debugging: when the plant and the software disagree, find the truth.
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.
You've been the senior technical voice on facilities or industrial software systems.
You've integrated OT systems (BMS, EPMS, SCADA) with modern data stacks.
You debug across the OT/IT boundary without losing patience or precision.
Your architecture decisions have survived scale and you can name the tradeoffs.
Bonus: Data center controls. Time-series platforms. OPC-UA, BACnet, Modbus. Control system security.
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.
Production Engineer, Compute Team Lead
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
Extreme ownership. Full autonomy. Own things end to end often taking on scope outside your core role without being asked to get things done.
Velocity. We drive everything forward as fast as possible.
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.
The Data Center Operations Team
Examples of key problems the team is working on
Operate at the scale of a nation, not a building. The fleet you run will draw more power than some countries, on the way to 10s to 100s of GWs.
Fly the plane while it's being built. Sites come online in pieces, and you keep the live ones running flawlessly while construction continues around them.
Write the playbook, don't inherit it. No prior operations org has run at this speed and scale, so the standards you set become the standard.
Role Scope
Lead the compute production engineering team keeping tens of thousands of GPUs serving customers.
Own fleet availability for compute: define the SLOs, build the tooling, and move the number.
Build automation for the node lifecycle, provisioning, health checks, remediation, return to service, without human touch.
Set the on-call and escalation model that keeps response sharp without burning the team out.
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, .
You've led SRE or production engineering teams running large fleets.
You've moved an availability number and can explain exactly how.
You've shipped automated remediation that retired a runbook.
You hire and grow strong engineers, and they say so.
Bonus: GPU or HPC fleets. Kubernetes or Slurm. Hardware failure analytics. Customer-facing reliability.
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.
Deployments Program Lead
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
Extreme ownership. Full autonomy. Own things end to end often taking on scope outside your core role without being asked to get things done.
Velocity. We drive everything forward as fast as possible.
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.
The Deployments Team
Examples of key problems the team is working on
Turn empty data halls into serving GPUs in weeks. Deployment owns everything between construction handover and customer-ready compute: racks, fabric, and validation at hundreds of megawatts per site.
Stand up gigawatts a year, hundreds of megawatts at a time. Data halls go from construction handover to serving GPUs in weeks, across multiple sites at once.
Deploy 10s to 100s of GWs with software, not headcount. Bring-up, validation, and handoff run on tooling the team builds, so the hundredth data hall deploys faster than the first instead of needing a hundred times the people.
Role Scope
Run the deployment program across all sites: schedules, dependencies, and escalations in one view.
Own cross-site resource and sequencing decisions when parallel builds compete for the same teams.
Build the program reporting leadership runs on: real dates, real risks, no weather forecasts.
Lead the TPM team covering per-site deployment programs.
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.
You've run multi-site infrastructure programs as the lead TPM.
You've made sequencing calls between competing projects and made them stick.
Your program reporting is trusted because it has been right.
You've built and led TPM teams.
Bonus: Data center deployment programs. Hardware supply interface. Program tooling. Executive reporting.
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.
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