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Software Engineer, Core Platform

Griffin Labs · Singapour

🇬🇧 English
Python Go TypeScript C++ Docker Kubernetes WebRTC video streaming distributed systems real-time systems backend systems cloud platforms data pipelines telemetry sensor streams multimodal data

Job description

About the role

We are looking for a Software Engineer to build the core platform that powers live robot operations across global deployments. This role goes beyond a generic backend position, owning the software loop that connects teleoperation, real‑time robot control, data pipelines and AI model improvement.

Key responsibilities

  • Design and implement the core platform enabling live robot operations worldwide.
  • Develop systems for teleoperation, remote supervision, intervention and operator control.
  • Architect backend services that connect robots, operators and cloud systems in real time.
  • Build data engines that transform telemetry, logs, video and sensor streams into AI training workflows.
  • Close the loop between deployment and learning to continuously improve field robots.
  • Ensure reliability, scalability, performance and observability of a distributed, production‑critical stack.
  • Collaborate with robotics, autonomy and AI teams to turn field operations into product and model advantages.
  • Help define the long‑term architecture and technical foundation of the platform.

Required profile

  • Strong software engineering fundamentals with a track record of shipping production systems.
  • Experience in distributed, backend or real‑time systems and cloud platforms.
  • Ability to design robust, scalable and debuggable systems under real‑world constraints.
  • Comfort owning messy, cross‑functional problems from architecture to execution.
  • High agency, strong judgment and a bias toward building.

Required skills

  • Python
  • Go
  • TypeScript
  • C++
  • Distributed systems
  • Real‑time systems
  • Backend systems
  • Cloud platforms
  • Docker
  • Kubernetes
  • Event‑driven architectures
  • WebRTC (nice to have)
  • Video streaming (nice to have)
  • Data pipelines for ML/AI workflows
  • Handling multimodal data such as telemetry, sensor streams and video

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Published 3 months ago

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Griffin Labs

Singapour