Fluidstack Logo

Fluidstack

Reliability Engineer, R&D

Posted 20 Days Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
169K-208K Annually
Mid level
In-Office
San Francisco, CA, USA
169K-208K Annually
Mid level
Lead reliability engineering for a reference design: build and validate availability and RAM models, run cross-discipline FMEAs, quantify failure rates and redundancy trade-offs, and close the loop by feeding fleet field-failure data back into designs to improve maintainability and uptime.
The summary above was generated by AI
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
  • Own reliability engineering for the reference design: availability modeled, weak points found, and fixes engineered before deployment.

  • Build the RAM models: failure rates, redundancy, and maintainability quantified per configuration.

  • Run FMEAs across disciplines: failure modes cataloged and designed out with the engineering teams.

  • Close the loop with the fleet: field failures fed back into models and design changes.

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 done reliability engineering for infrastructure, energy, or complex hardware.

  • You've built availability models decision-makers used.

  • You've led cross-discipline FMEAs that changed designs.

  • You mine field data for the truth about failure rates.

  • You argue redundancy trade-offs in dollars and nines.

  • Bonus: Data center topologies. RAM modeling software. Weibull analysis. Maintenance strategy design.

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.

Similar Jobs

22 Minutes Ago
Remote or Hybrid
United States
75K-95K Annually
Junior
75K-95K Annually
Junior
Agency • Digital Media • Legal Tech • Marketing Tech • Social Media • SEO
Own a portfolio of clients to maximize retention and growth: run client calls, analyze lead and performance data, spot retention risks and upsell opportunities, coordinate internal teams to deliver on strategy, and contribute process and AI-driven improvements to internal systems.
3 Hours Ago
Hybrid
54K-84K Annually
Junior
54K-84K Annually
Junior
Digital Media • Information Technology • News + Entertainment
Sell Comcast Business bundled communications to small and medium businesses through face-to-face presentations, prospecting, and territory development. Build and retain customer relationships, meet sales targets, prepare activity reports, collaborate with internal teams to ensure service levels, and work a variable schedule including nights and weekends.
3 Hours Ago
Hybrid
130K-175K Annually
Senior level
130K-175K Annually
Senior level
Artificial Intelligence • Fintech • Machine Learning • Mobile • Payments • Retail • Software
Lead product analytics for Upsides consumer app: define KPIs and OKRs, design and analyze A/B tests, perform exploratory and root-cause analyses, forecast revenue impacts, build dashboards and data models, ensure robust instrumentation, and use AI tools to automate and scale experimentation and analytics workflows.
Top Skills: ClaudeFigmaHexLookerMixpanelOptimizelyPythonSegmentSnowflakeSQL

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account