Career
Join us in building the future of IoT. We're looking for passionate developers and engineers who want to make a real impact.
-
Learn and contribute to real ThingsBoard deployments: dashboards, rule chains, device connectivity, and customer IoT solutions. Mentorship from senior engineers; ideal if you enjoy IoT platforms and want hands-on cloud dashboard work.
What we look for
- Final-year student, recent graduate, or early-career developer with interest in IoT
- Basic understanding of MQTT/HTTP and how devices talk to the cloud
- Willingness to learn ThingsBoard (Community or PE concepts)
- Logical debugging and clear written communication
Nice to have
- Personal or academic projects involving dashboards, APIs, or telemetry
- Familiarity with JSON, REST, or SQL basics
-
Work on software that powers IoT products: services, integrations, data pipelines, and tooling alongside our engineering team. Suited for developers who like backend or full-stack work tied to connected devices.
What we look for
- Student, fresher, or junior developer with strong interest in IoT systems
- Comfortable with at least one of: JavaScript/TypeScript, Python, or Java
- Understanding of APIs, Git, and how web services are structured
- Ability to learn quickly and work in a collaborative environment
Nice to have
- Exposure to message brokers (e.g. MQTT), time-series data, or cloud basics
- Coursework or projects on distributed systems or automation
-
Support AI-enabled features for IoT and internal tools: data preparation, model evaluation, integration experiments, and documentation. We value curiosity and rigor over a long resume.
What we look for
- Student or fresher with coursework or self-study in ML fundamentals
- Comfortable with Python and notebooks or small scripts
- Interest in applying AI to real-world data (e.g. sensor or operational data)
- Clear thinking about limitations, testing, and responsible use of models
Nice to have
- Experience with a common framework (e.g. scikit-learn, PyTorch basics)
- Any project involving data cleaning, evaluation metrics, or APIs