Software Engineer, NPI

Reposted 20 Hours Ago
4 Locations
In-Office
224K-279K Annually
Entry level
Artificial Intelligence • Software
The Role
Build and own lab software for new product introduction: test orchestration, data capture, analysis, benchmark automation, config management, and results databases. Ensure qualification runs are recorded, comparable, and queryable. Automate deployment-ready configurations and validation suites, collaborate closely with hardware engineers, and iterate on tooling.
Summary Generated by Built In
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.

Role Scope
  • Build the software behind new product introduction: test orchestration, data capture, and analysis for new hardware.

  • Ship the lab's tooling: benchmark automation, config management, and results databases the team runs on.

  • Own the data: every qualification run captured, comparable, and queryable across platforms and time.

  • Automate the path from lab to fleet: golden configs and validation suites packaged for deployment.

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 built test automation or lab software for hardware programs.

  • You've turned manual engineering workflows into pipelines.

  • You handle hardware-shaped data: telemetry, logs, and measurements at volume.

  • You write production-quality Python or Go and move fast with AI tooling.

  • You sit with the engineers who use your tools and iterate.

  • Bonus: Hardware test harnesses. Grafana and time-series. BMC and Redfish APIs. CI for hardware.

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 Required

  • Built test automation or lab software for hardware programs
  • Turned manual engineering workflows into pipelines
  • Handled telemetry, logs, and measurements at volume
  • Write production-quality Python or Go
  • Collaborate closely with engineers who use the tools and iterate
  • Hardware test harnesses
  • Grafana and time-series databases
  • BMC and Redfish APIs
  • CI for hardware
Am I A Good Fit?
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The Company
HQ: London
30 Employees
Year Founded: 2017

What We Do

Instantly reserve dedicated clusters of NVIDIA H200s and GB200s for any scale to supercharge your training and inference workflows.

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