Software & Electronics Integration Engineer – Measurement & Control Systems

Nanological; Madrid; Presencial; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A deep tech startup in Madrid is looking for a Software & Electronics Integration Engineer to support and expand its advanced measurement and control systems. This role involves software engineering, hardware integration, system maintenance, and prototype development. The ideal candidate will maintain the current systems, integrate new components, design data processing pipelines, and implement reliable data architectures. Candidates should have a solid understanding of communication protocols and programming in Python or C++.

Formación

• Experience with communication protocols such as UART/Serial, I2C, SPI, USB, Ethernet/TCP-IP.
• Ability to implement robust communication layers in Python and/or C++.
• Knowledge of high-throughput or real-time data processing.

Responsabilidades

• Maintain, troubleshoot, and improve the existing measurement and control platform.
• Integrate new hardware components and develop communication interfaces.
• Contribute to the design and development of a new prototype system.

Conocimientos

Software engineering

Hardware integration

System maintenance

Prototype development

Data processing

Python

C++

Communication protocols

Herramientas

Embedded systems

Motion controllers

Actuators

Sensors

Descripción del empleo

Software & Electronics Integration Engineer – Measurement & Control Systems

⚙️ Deep Tech | Sensors | Measurement & Control | Diagnostics

About Nanological

Nanological

is a deep tech startup building anew class of in vitro diagnostic tools, starting with the rapid detection of sepsis. Our proprietary platform integrates optomechanical sensing and machine learning to transform complex physical signals into actionable clinical answers.

We’ve been recognized as a Deep Tech Pioneer by Hello Tomorrow, selected among the Top 100 startups by APTE, and awarded by EIT Health, Parque Científico de Madrid, and the Spanish Ministry of Equality for our innovation and clinical impact.

The Role

Software & Electronics Integration Engineer – Measurement & Control Systems

We are seeking a versatile and highly skilled Software & Electronics Integration Engineer to support and expand our advanced measurement and control system. This role combines software engineering, hardware integration, system maintenance, and prototype development. You will help maintain the current system, integrate new components, and participate in the design and implementation of the data processing and storage pipeline for our next-generation prototype.

Key Responsibilities

System Maintenance & Enhancement

Maintain, troubleshoot, and improve the existing measurement and control platform.

Diagnose system issues involving software, electronics, and hardware interfaces.

Ensure reliable and stable system operation in both research and production environments.

Develop and maintain user interfaces (web or desktop) that support system configuration, monitoring, data visualization, and workflow control.

Hardware & Electronics Integration

Integrate new hardware components such as motion controllers, embedded systems, actuators, and sensors.

Develop and maintain communication interfaces and drivers for hardware devices.

Work closely with R&D engineers to ensure robust interconnects, clean signals, and reliable system behavior.

Firmware, Drivers & Communication Layers

Develop and maintain firmware/software modules that communicate with external devices.

Experience with communication protocols such as UART/Serial, I2C, SPI, USB, Ethernet/TCP-IP

Ability to implement robust communication layers in Python and/or C++.

Prototype Development

Contribute to the design and development of a new prototype system, from architecture definition to implementation.

Support decisions on hardware interfaces and system structure.

Participate in integrating new subsystems into a cohesive platform.

Data Processing & Storage

Design and implement data processing pipelines for high-throughput or real-time data.

Develop reliable data storage systems (local or cloud-based).

Apply good data architecture practices: metadata, logging, reproducibility, versioning.