
Network Engineer, Connectivity & Strategy at Fluidstack (New York, NY)
Fluidstack· New York, NY· $225k–$275k·
Role details
Equity · Retirement/Pension Plan · Health Insurance · Dental Insurance · Vision Insurance · Generous PTO
Fluidstack at a glance
Builds and operates gigawatt-scale AI data centers and fully managed GPU clusters for frontier AI labs, governments, and enterprises.
Fluidstack acquires power, designs and builds data centers, and operates them, and it delivers fully managed multi-thousand-GPU clusters to AI companies. It pitches gigawatts of compute in roughly six months versus an industry norm of 18 to 24, and is the builder behind Anthropic's $50B US data center buildout.
· latest: In talks for $1B at ~$18B valuation (April 2026, reported) · backed by Cacti, Jane Street, Situational Awareness, Patrick and John Collison
Summary
Lead the external connectivity strategy for Fluidstack's data centers, managing carrier relationships, circuit procurement, and backbone network design. This role ensures diverse, resilient, and on-time connectivity while collaborating with engineering and commercial teams to support rapid datacenter builds.
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 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
- Own external connectivity: carriers, dark fiber, internet exchanges, and cloud interconnects across the fleet.
- Plan backbone capacity between sites years ahead of the traffic that will fill it.
- Negotiate technical terms with carriers and fiber providers alongside sourcing.
- Own the connectivity roadmap: diversity, latency, and cost engineered deliberately.
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 jobs.ashbyhq.com
- You've engineered carrier and long-haul connectivity at scale.
- You've procured dark fiber and lit services and know where the contracts hide risk.
- You plan capacity with data and buy ahead of need.
- You hold carriers to SLAs with escalation paths you built yourself.
- Bonus: Long-haul and subsea systems. DWDM. Peering strategy. Fiber route analysis.
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.
Why work at Fluidstack
- 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.