Mechanical Engineer, Robotics

Reposted 19 Days Ago
4 Locations
In-Office
208K-263K Annually
Mid level
Artificial Intelligence • Software
The Role
Design and develop the mechanical aspects of data-center robotics including end effectors, docking, and robot-plant interfaces. Rapidly prototype, test to failure, instrument trials, and productionize hardware with DFM, reliability, and spare strategies while collaborating closely with controls and software teams.
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
  • 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.

Role Scope
  • Engineer the mechanical side of data center robotics: end effectors, docking, and interfaces between robots and plant.

  • Design the physical integration: how robots handle, mate with, and service equipment designed for humans.

  • Prototype fast and test hard: concepts to instrumented trials in weeks.

  • Productionize what works: DFM, reliability, and spares for hardware that runs unattended.

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 designed mechanical systems for robotics, automation, or mechatronics products.

  • You've taken hardware from prototype through reliability testing.

  • You design interfaces and tolerances that survive the real world.

  • You test to failure on purpose and instrument everything.

  • You work in fast loops with controls and software.

  • Bonus: End effector and gripper design. GD&T depth. DFM at low volume. Server and rack hardware familiarity.

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

  • Designed mechanical systems for robotics, automation, or mechatronics products.
  • Taken hardware from prototype through reliability testing.
  • Design interfaces and tolerances that survive the real world.
  • Test to failure on purpose and instrument everything.
  • Work in fast loops with controls and software.
  • End effector and gripper design.
  • GD&T depth.
  • DFM at low volume.
  • Server and rack hardware familiarity.
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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