---
title: 'Production Engineer, Compute at Fluidstack'
canonical: 'https://feeny.ai/job/production-engineer-compute-fluidstack-san-francisco-7emd5qcmp06b'
type: 'job'
last_seen: '2026-09-06'
---

# Production Engineer, Compute at Fluidstack

- **Company:** [Fluidstack](https://feeny.ai/companies/fluidstack)
- **Location:** San Francisco, CA
- **Compensation:** $175k–$300k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-06-16
- **Last confirmed live:** 2026-09-06
- **Apply:** https://jobs.ashbyhq.com/fluidstack/7a527b3f-0f4e-4c98-a67f-4a95437ac7c8/application

**Skills:** Kubernetes, Bare Metal, Redfish, BMC, IPMI, Python, Go, Prometheus, Grafana, Temporal, Cadence, LLM APIs, MCP servers, Agentic frameworks, Claude Code, Cursor, Hardware lifecycle management, RMA automation, GPU qualification, Burn-in frameworks

> Own the health, reliability, and automation of a large-scale GPU compute fleet. Build metrics pipelines, repair automation, and qualification platforms for Kubernetes-orchestrated bare metal infrastructure. Drive end-to-end operational excellence and incident management.

## 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 PRODUCTION ENGINEERING TEAM

Examples of key exciting problems the team is working on

- Build the repair pipeline that keeps pace with a fleet of 10s to 100s of GWs: at our scale, a GPU failure isn't a ticket. It's a throughput problem. We're building the automation that takes a chip from fault detection through triage, RMA, and return to service without human intervention.
- Qualify every new GPU generation inside a 6-month build window: our platform covers burn-in, performance baselining, and NPI execution. It has to define "production-ready" before a site goes live, not after. New hardware gets certified at speeds unheard of in the industry.
- Migrate live compute at construction speed: we're converting clusters across production sites simultaneously, bringing new sites online, and making Kubernetes-orchestrated bare metal sustainable at the pace we're building – multiple GW annually.
- See and own the entire fleet in real time, at any scale: build the observability and orchestration layer that makes hyperscale AI compute actually operable. Debug, tune, and performance-test infrastructure that grows by another site every few months.

## ROLE SCOPE

- Own compute fleet health end to end. Build the metrics pipelines, alerting, and unified health view that tell you the true state of every GPU in production — across Kubernetes-orchestrated workloads and bare metal, at scale.
- Turn deployment/repair into a pipeline, not a procedure. Build and own the automation that takes a compute failure from detection through triage, parts management, and return to service. No one-off scripts, no heroics.
- Design and expand the GPU qualification platform. Burn-in, performance baselining, and NPI execution for every new GPU generation. You define what "good" looks like before hardware goes into production.
- Own Redfish and BMC tooling. Firmware-level telemetry, log collection at fleet scale, and the low-level access layer that repair automation and health tooling depend on.
- Own end-to-end reliability, scalability, and operation of the compute fleet at-scale. Fluidstack is building one of the largest GPU fleets in the world and that can only be accomplished with aggressive automation, tooling, and incident discipline.

## 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 treat toil as a bug. Manual steps in a repair workflow are a backlog item, not a job description.
- You have an instinct for hardware. You're comfortable reasoning about failure modes at the firmware and silicon level, not just the software stack above it.
- You move toward ambiguity, not away from it. You walk into the fog, build the map, and explain it to everyone else.
- You learn at a steep slope. You reach real competence in an unfamiliar domain fast. We value this over existing expertise.
- You carry a pager without flinching. You run the incident, write the postmortem, fix the systemic cause, and move on.
- You're fluent with AI tooling. LLM APIs, MCP servers, and agentic frameworks, and you drive Claude Code, Cursor, or similar every day.
- You've shipped production automation that other teams depend on, and you're comfortable in any language using AI coding tools.
- Bonus: Hardware lifecycle management and RMA automation. BMC/Redfish or IPMI tooling. GPU qualification or burn-in frameworks. Workflow and orchestration engines (Temporal, Cadence). Metrics and alerting pipelines (Prometheus, Grafana). Go or Python...

## SALARY & 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.

Total compensation may also include equity in the form of restricted stock units.

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

- [Network Engineer, Connectivity & Strategy](https://feeny.ai/job/network-engineer-connectivity-strategy-fluidstack-new-york-pvgj4bn2enx9) — New York, NY
- [Senior Counsel, Real Estate](https://feeny.ai/job/senior-counsel-real-estate-fluidstack-seattle-0zxga7ycp9ks) — Seattle, WA
- [Counsel, Energy](https://feeny.ai/job/counsel-energy-fluidstack-seattle-w1yf5b4ceyza) — Seattle, WA
- [Infrastructure Delivery Program Lead](https://feeny.ai/job/infrastructure-delivery-program-lead-fluidstack-new-york-hg44stcp9x49) — New York, NY
- [Production Engineer, Network](https://feeny.ai/job/production-engineer-network-fluidstack-san-francisco-0179fcmevvdv) — San Francisco, CA
- [Counsel, Infrastructure](https://feeny.ai/job/counsel-infrastructure-fluidstack-seattle-krhj5xg7fkjm) — Seattle, WA
- [Structured Finance, Lead](https://feeny.ai/job/structured-finance-lead-fluidstack-new-york-fqr7f1jy6v42) — New York, NY
- [Structured Finance, Associate](https://feeny.ai/job/structured-finance-associate-fluidstack-new-york-vajx8731ye3j) — New York, NY
- [Software Engineer, Applied AI](https://feeny.ai/job/software-engineer-applied-ai-fluidstack-san-francisco-027sc2j800an) — San Francisco, CA
- [Software Engineer, Ontology](https://feeny.ai/job/software-engineer-ontology-fluidstack-san-francisco-gtb8akaxr5bg) — San Francisco, CA