FluidStack Inc. logo

Software Engineer, Networking

Job Overview

Location

San Francisco, CA

Job Type

Full-time

Category

Software Development

Date Posted

July 21, 2026

Full Job Description

đź“‹ Description

  • • 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.
  • • 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!
  • • 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.
  • • Examples of key exciting problems the team is working on:
  • • Turn every network fault from a mystery into a closed ticket: link diagnostics across router-router and NIC-to-router paths, remote command execution across the fleet, and repair visualization that shows exactly what's broken and why.
  • • Build the network repair pipeline that runs itself: from automated fault detection through RMA initiation, ticket integration, transceiver lifecycle tracking, and return to service, across DC fabric, edge, and host-to-network layers.
  • • Build the network monitoring platform for a fleet that never stops growing: define requirements, alerting lifecycle, and health dashboards from scratch, for infrastructure spanning multiple hyperscale sites today and 10s to 100s of GWs ahead.
  • • ROLE SCOPE:
  • • Own network fleet health end to end. Define the realtime monitoring requirements, build the alerting lifecycle, and ship the dashboards that give every on-call engineer a true picture of network state across all sites.
  • • Build active debugging tooling. Link diagnostics, remote command execution across the fleet, and repair visualization — the tools that turn a network fault from a mystery into a solvable problem, fast.
  • • Turn repair into a pipeline, not a procedure. Build the automation that takes a network failure from detection through parts management and return to service.
  • • Own network qualification and validation. Build the frameworks that gate new sites and hardware into production.
  • • Own end-to-end reliability, scalability, and operation of the network at-scale.
  • • WHAT WE'RE LOOKING FOR:
  • • You treat toil as a bug. If diagnosing a link failure requires SSHing into boxes and running commands by hand, you build the tool that does it for you.
  • • You think in systems. You understand how a transceiver fault, a misconfigured route, and a power event each propagate differently — and you build tooling that can tell them apart.
  • • 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 network tooling or automation that other teams depend on, and you're comfortable in any language using AI coding tools.
  • • You’ve developed automation tools in Go and Python, are experienced in link diagnostics, optical networks, and understanding network monitoring (gNMI, gRPC, NETCONF, SONiC)
  • • Bonus: RMA and repair lifecycle automation. Large-scale datacenter fabric (BGP, ECMP, spine-leaf). Out-of-band network management.
  • • 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.
  • • 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 [email protected] 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.

Skills & Technologies

Python
Go
gRPC
Remote

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About FluidStack Inc.

FluidStack Inc. operates a distributed cloud platform that aggregates under-utilized GPUs in data centers and individual machines worldwide, renting them on-demand to AI researchers, startups, and enterprises for training and inference workloads. The company automates deployment, security, and billing, offering prices up to 80% below traditional hyperscalers while providing instant access to high-end NVIDIA A100, H100, and consumer GPUs through a single API and web console. Headquartered in London, FluidStack targets machine-learning engineers who need scalable, low-cost compute without long-term commitments, claiming thousands of active nodes and customers including Fortune 500 enterprises and leading research labs.

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