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Griffin Labs

Software Engineer, Fleet

Griffin Labs
Singapore · Full-time · Entry

About the job


We're looking for a Software Engineer, Fleet to build the systems that operate a growing fleet of robots reliably across global deployments.


This is not a generic backend role. You will own the software that keeps the fleet healthy at scale—how robots are provisioned, monitored, updated, and recovered in production. As we go from tens to thousands of robots across many sites, your work decides whether the fleet stays observable, controllable, and trustworthy, or becomes impossible to manage.


You'll work across real-time telemetry, distributed backend services, over-the-air updates, and operations tooling. You should be excited about high-stakes systems with tight feedback loops, where reliability and visibility directly shape how robots perform in the real world.



What you'll do


- Build the fleet management platform: provisioning, configuration, health monitoring, and lifecycle management for robots across global sites

- Develop telemetry and observability pipelines that turn live robot data, logs, and sensor streams into real-time fleet health and actionable alerts

- Build over-the-air (OTA) update and rollout systems—staged deployments, version control, rollback, and fleet-wide software/firmware distribution

- Design backend services that connect robots, operators, and cloud systems in real time and at scale

- Build tooling for fleet operations and support teams: dashboards, remote diagnostics, incident response, and intervention workflows

- Drive fleet reliability—detect, triage, and recover from failures across a distributed, production-critical system

- Work with autonomy, deployment, and operations teams so fleet data and controls feed back into product and field performance

- Help define the architecture and technical foundation of a fleet platform built for long-term scale



What we're looking for


- Strong software engineering fundamentals and a track record of shipping production systems

- Experience in distributed systems, backend systems, real-time systems, or cloud platforms

- Strong coding skills in Python, Go, TypeScript, C++, or similar

- Ability to design systems that are robust, scalable, and debuggable under real-world constraints

- Comfortable owning messy, cross-functional problems from architecture to execution

- High agency, strong judgment, and a bias toward building



Nice to have


- Experience with fleet management, IoT/device fleets, OTA updates, or device-cloud architectures

- Experience with telemetry, observability, monitoring, or alerting systems at scale

- Experience with robotics, edge systems, or connected hardware in the field

- Experience building data pipelines or infrastructure that turn device data into operational insight

- Familiarity with Docker, Kubernetes, cloud infrastructure, and event-driven systems

- Experience working with multimodal data such as telemetry, sensor streams, and video



Who you are


- You want to build systems that matter in the real world

- You are ambitious, fast-moving, and highly technical

- You like hard problems, tight loops, and high ownership

- You care about reliability and visibility as a fleet scales from tens to thousands of robots

- You want to help define how intelligent machines are operated and supported at scale

Key Skills

Ranked by relevance

cloud incident response design systems kubernetes typescript python docker c
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Posted
Jun 17, 2026
Type
Full-time
Level
Entry
Location
Singapore

Industries

Robotics Engineering

Categories

Engineering Information Technology

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