Firmware/Software Engineer

We are developing BENTOS – a real-time, predictive environmental monitoring system for the Baltic Sea, integrating sensor platforms, satellite data, and advanced modeling. This project involves end-to-end embedded and software systems — from firmware running on real devices in the sea, to data pipelines and cloud integration.

• 2+ years of experience in embedded software / firmware development
• Solid knowledge of embedded C/C++
• Experience with microcontrollers and embedded Linux systems
• Experience with communication protocols (I2C, SPI, UART)
• Familiarity with Linux environments (Raspberry Pi or similar)
• Basic networking concepts
• Ability to work close to hardware (not just pure software)
• Strong problem-solving mindset and ownership of tasks

Nice to have:

• Experience with IoT systems or distributed architectures
• Knowledge of MQTT, cloud platforms, or data pipelines
• Experience with low-power systems and energy optimization
• Familiarity with sensor integration and signal processing
• Interest in environmental, marine, or scientific applications

• Develop and maintain firmware for embedded systems (sensor platforms, communication modules)
• Write clean, efficient, and reliable code in C / C++ (firmware, drivers, low-level systems) and Python (tooling, data processing, automation)
• Integrate sensors and communication interfaces: UART, I2C, SPI, ADC, GPIO
• Work on data acquisition, buffering, and transmission systems
• Support connectivity solutions: GSM / LTE / MQTT / HTTP / WebSocket
• Collaborate on cloud integration and data pipelines
• Participate in hardware bring-up, debugging, and testing
• Contribute to system architecture and technology decisions
• Explore and implement new technologies in embedded & IoT space
• Firmware for autonomous measurement buoys with environmental sensors
• Real-time data acquisition and transmission systems
• Integration of biogeochemical sensors (pH, oxygen, turbidity, etc.), cameras and auxiliary modules
• Systems operating in harsh marine environments and limited connectivity conditions
• Data pipelines feeding into predictive environmental models

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