Menyala is hiring a
Web3 Robotics Full Stack Engineer (Contract)

Compensation: $84k - $150k estimated

Location: Remote

What is the project? Menyala is launching a new venture out of Singapore in robotics. We partner with industry and research labs to capture the last un-automated layer of human labor. Using wearables, VR headsets, LiDAR, and video streams, we collect rich multimodal demonstrations of humans performing complex cognitive and physical tasks. This data powers the development of next-generation robotics foundation models. Long term, we’re building a global, decentralized dataset exchange for robotics - an ImageNet for embodied AI.   Opportunity

Initial 4-month contract Potential for conversion into a full-time role Significant upside: Equity available for the right candidate as a potential founding hire

  Scope of Work We're looking for a Full-Stack Engineer to take the lead in building and showcase the actual platform. This role goes beyond prototypes—it's about developing the actual product. You'll be writing production-level code, not just conducting research or exploratory work.   Domain Expertise Ideal candidates will bring experience or a strong interest in:

3D technologies — Computer Graphics, Robotics, and Computer Vision Simulation environments — Familiarity with tools like Isaac Sim, Gazebo, or PyBullet Systems Engineering — Understanding of full-stack systems, from data pipelines to user interfaces Bonus: Experience with teleoperation and multimodal data processing

  Technical Skills

Strong proficiency in Python (core language) Experience with deep learning frameworks: PyTorch or TensorFlow Familiarity with NVIDIA platforms, GPU programming, and related acceleration tools Exposure to Cloud Infrastructure (AWS, GCP, or equivalent) Node.js or full-stack JavaScript experience is a plus

  Candidate Profile

Master’s degree preferred (Computer Science, Robotics, or related fields) Prior industrial or applied experience highly valued, but not strictly required Deep passion for robotics, embodied AI, and emerging technologies Open to hybrid, remote, or part-time arrangements

Apply Now:

Compensation: $84k - $150k estimated

Location: Remote


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