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Founding Engineer

CTRL+RDubai, UAE2 weeks agoMid-Senior
Mid-Seniorfulltime

Skills

engineeringdesignproject management

About This Role

Founding Engineer - CTRL+R

  • I’m looking for a founding engineer/CTO with deep experience in robotics and AI to build the standard layer for robot operations.
  • Right now, every team is hacking together their own stack, and most industries still can’t use robots effectively.
  • If you want to take on that problem and actually solve it, keep reading.
  • The problem with robotics today
  • 1.
  • Lack of standardization
  • Every robotics manufacturer has their own unique interface & specs required to operate their robots.
  • Most companies have to build their own software in-house and use multiple systems just to operate their robots.
  • 2.
  • Robots are difficult to use
  • Robots require highly specialized expertise in custom systems.
  • Companies are forced to hire expensive robotics engineers or specialized firms in order to use robots.
  • 3.
  • Robotics teams struggle to scale
  • Each new robot deployment or team member added requires separate training, onboarding, and integration.
  • Growing a robot fleet/expanding a team becomes painfully slow.
  • Our solution
  • CTRL+R is making robot operations easy.
  • We’re building a single interface to control, monitor, and scale robot fleets.
  • Something simple enough that a new operator can use it on day one, but powerful enough for teams running complex deployments across sites.
  • -For robotics teams: CTRL+R is your unified platform to operate, manage, and monitor your entire robot fleet.
  • No more building in-house software or switching between softwares - CTRL+R gives you a single system to run your fleet as it scales.
  • -For retail, construction, and more: CTRL+R gives teams real-time visibility into physical operations, helping them monitor site conditions, verify task execution, and extract data-driven insights from anywhere.
  • Long term, this becomes more than just control software.
  • The goal is to use the data coming off these robots to actually improve how they operate.
  • Better decisions, less human intervention, more intuitive control, and systems that get smarter over time.
  • Technical requirements
  • Deep experience with ROS (preference on ROS2), including building and debugging distributed robot systems
  • Strong programming skills in Python plus C++ or Rust (you’ve shipped production systems, not just prototypes)
  • Strong modern AI skills - you can use Cursor/Claude to be 10x more efficient at pushing code.
  • Experience working with real robot hardware, not just simulation
  • Solid understanding of distributed systems and system architecture (you’ve designed systems that coordinate multiple services, devices, or nodes)
  • Experience building data pipelines for robotics or sensor-heavy systems (video, LiDAR, telemetry, etc.)
  • Hands-on experience with applied machine learning (computer vision, perception, or decision systems)
  • Experience collecting, labeling, and iterating on real-world datasets, not just training on clean benchmarks
  • Comfortable working across edge and cloud environments (AWS, on-device compute, APIs, backend infrastructure)
  • Strong debugging skills across the full stack, from robot to backend
  • Does this sound like you?
  • You prioritize efficiency over all else
  • You are half-human, half-Vulcan like Spock
  • You take pride in what you build
  • You are impatient
  • You do stuff when you say it'll be done (and if not, you communicate why not)
  • You can make complex topics easy to understand for non-experts
  • You can think big AND small
  • Impact is one of your core drivers
  • If so, reach out.
  • Why this is an opportunity worth considering
  • Robotics is finally hitting an inflection point with AI
  • Robotics is growing fast, but the software layer is still immature.
  • If we get this right, CTRL+R becomes the default way robots are operated.
  • As a cofounder, you'd be in the same boat with me.
  • You'd own part of the company and together we'd define the vision, but there'd be no salary until we secure funding (either by revenue or venture capital).
  • There is no guarantee of success.
  • But if we do succeed, you’ll have real ownership in something that defines an entire industry.

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