> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt.

# Forward Deployed Engineer, Compute Operations

Canonical URL: https://nextmove.md/fde/jobs/f4f6e29d5c5a0b3d

Fluidstack posts a FDE role to build for teams inside the company in New York, NY, at $224,000–$300,000 base, above the senior FDE median of $190,000 across 1,864 postings with pay. Build the operational software systems that keep Fluidstack’s large GPU fleets healthy, qualified, repairable, and in service across Kubernetes, bare metal, and data-center facilities. Read from the employer’s posting on November 8, 2026.

- [Fluidstack](https://nextmove.md/fde/companies/fluidstack)

Posted Oct 2, 2026 by Fluidstack · open on Ashby as of Nov 8, 2026

**$224,000–$300,000** + equity New York, NY On-site Full-time

Build the operational software systems that keep Fluidstack’s large GPU fleets healthy, qualified, repairable, and in service across Kubernetes, bare metal, and data-center facilities.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2Ff4f6e29d5c5a0b3d&placement=top)
- [View posting at Fluidstack](https://jobs.ashbyhq.com/fluidstack/3dacc390-e34f-4644-8138-3dbd32d68682/application)

Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so.

## At a glance

### Posted base pay

$224K–$300K Above the median

Midpoint $262K · median $190K

This job $224K to $300K. Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K.

### The work

Builds for teams inside the company

Balance **Mostly building**

Project stages

1. Pre-sales (not covered)
2. Proof of concept (not covered)
3. Implementation
4. Operations

- **Coding**: Writes production code

- **Builds for**: External customers

- **Level**: Senior

- **Role**: Individual contributor

### Do you meet what the posting states?

The posting reads as a senior role. What level are you at now?

The job is in New York, NY. Could you work there?

Which of these have you used in production?

Answer each one. Nothing is saved or sent.

[What postings ask for, by background →](https://nextmove.md/fde/paths)

## Conditions

- **Location**: New York, NY

- **Work arrangement**: On-site

- **Employment type**: Full-time

- **Pay**:

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## The job description from Fluidstack

Posted by Fluidstack on Oct 2, 2026

### 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

- **Build the fleet health system:** real-time telemetry and tiered healthchecks on every machine across Kubernetes and bare metal, rolled into one API the whole company trusts to answer "is this machine healthy," with alarms correlated into incidents that reach on-call with a drafted probable cause.
- **Turn repair and RMA into generated work:** one tracked flow from failure detection through triage, parts, vendor return, and return to service, where failure thresholds route machines to repair automatically, each production engineer's shift todo list is generated for them, and time to return to service is a number the system reports.
- **Ship hardware qualification as software:** burn-in, performance baselining, and new hardware validation composed into rack-level workflows, so bringing thousands of accelerators online is a repeatable run and every machine enters production with its acceptance evidence attached in the graph.
- **Run the facility on the same system as the fleet:** the maintenance system for lockout tagout and work orders is live at one site and rolls out to two more, every asset register loads before the first external audit this fall, and the legacy datacenter inventory retires before the next building energizes. You own the asset model, the migration, and the day the old tools switch off.
- **Turn every runbook into a checked procedure:** SOPs, training records, and technician qualifications become structured data the customer can audit, and site SLOs, deployment cycle time, and labor ramp report themselves on the dashboards a hyperscaler customer asked for. You work forward-deployed beside production engineers and facility operators, on site and on the rotation, and build what they use the next shift.

### 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 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.
- 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 foundations that other engineers extended after you moved on.
- You've sat the on-call rotation or worked beside the people who do, and you've turned operational pain into systems that made the pager quieter.
- Your product taste shows in what you've shipped: interfaces the engineers on the rotation call obvious, and workflows that match how the work actually happens.
- **Bonus:** Production engineering or SRE on large GPU fleets. Hardware qualification or burn-in frameworks. BMC, Redfish, or IPMI tooling. CMMS, DCIM, or asset management systems. BMS/EPMS or SCADA. Prometheus and Grafana. **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.

Applicant Privacy Notice
AI Screening Notice
Ashby Bias Audit

*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. *

[View posting at Fluidstack](https://jobs.ashbyhq.com/fluidstack/3dacc390-e34f-4644-8138-3dbd32d68682/application)

## About Fluidstack

AI cloud and data-center infrastructure company that provides dedicated GPU clusters, orchestration software, and custom capacity for frontier AI labs and enterprises.

Late-stage private · 100–200 people

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- [Compare senior FDE salary ranges](https://nextmove.md/fde/salary/senior)
- [Similar jobs in New York metro](https://nextmove.md/fde/jobs?region=nyc-metro)
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