At SuperFolders Robotics, we're on a mission to simplify robot control
for businesses by turning complex robotics into accessible tools —
powered by a clean, chat-based interface, semantic commands, and
cloud-managed autonomy. Our platform connects users with their robotic
fleets and lets them assign real-world tasks in natural language,
while we handle everything behind the scenes — from navigation to
perception, from SLAM to results.
Startup DNA. Global Vision.
We're an early-stage, fast-moving deep-tech startup with:
- A distributed team of builders, engineers, and thinkers
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A product-first mindset that moves from prototype to production fast
A culture that values:
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Curiosity — we learn fast, explore boldly, and
ask "what if?"
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Responsibility — each person owns their work
end-to-end
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Results — we build what matters, and measure by
impact
If you're excited by real-world autonomy, edge computing, and making
robots useful to everyday businesses — we want to work with you.
Open Roles
🔧 Robotics Software Engineer (Edge Runtime, ROS2)
What you'll do:
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Build and maintain our ROS 2-based runtime for robots (starting
with Unitree Go2 Pro)
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Integrate sensor streams (LiDAR, RTK, cameras) and enable
real-time SLAM
- Work on edge-to-cloud communication (MQTT, WebSocket)
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Implement and optimize behavior modules and mobility control
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Collaborate on training new environment-specific skills using
NVIDIA Isaac Gym for physics-based simulation
Ideal profile:
- Strong experience with ROS 2 and Python/C++
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Familiar with NVIDIA Jetson, sensor integration, and SLAM
algorithms
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Experience deploying code on real robots in dynamic environments
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Bonus: experience with simulation environments like Isaac Gym,
Gazebo, or Webots
🧠 Computer Vision / ML Engineer (Edge + Cloud)
What you'll do:
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Develop and optimize models for on-device inference (YOLOv8,
custom models)
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Integrate Coral TPU and Jetson pipelines for real-time perception
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Train models for semantic understanding and context-aware
navigation
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Support multi-modal data fusion: LiDAR, vision, GPS, semantic tags
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Contribute to learning-based skill development using Isaac Gym
environments
Ideal profile:
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Experience with PyTorch/TensorFlow, model training, and
optimization
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Strong skills in computer vision, object detection, and geospatial
ML
- Edge deployment experience (Jetson, TPU, TensorRT, ONNX)
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Bonus: knowledge of reinforcement learning or
simulation-to-reality transfer
⚙️ Full-Stack Developer (Platform & Interface)
What you'll do:
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Build our web-based control platform for managing robots and
assigning tasks
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Design intuitive interfaces for task assignment (chat-based),
result tracking, and live robot status
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Integrate backend APIs, real-time WebSocket data streams, and SLAM
map viewers
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Build tools for managing hardware configurations, logs, and
mission history
Ideal profile:
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Proficiency in React + TypeScript and Node.js or Python
(FastAPI/Flask)
- Experience with real-time systems and API integration
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Strong UX intuition for control panels, dashboards, or spatial UIs