We are seeking a highly skilled and experienced Senior Software Engineer with a strong background in edge device software, automation, and hardware-software integration. You will work at the intersection of mechanical systems, computer vision, and software, developing the control and automation layer for our medical devices.

Our devices are connected, edge IoT instruments: they run a stack of containerized Python services on Linux, are deployed and managed remotely across a fleet, and coordinate motion control, cameras, computer vision, and a web-based touch UI to carry out delicate lab procedures. This is a hands-on engineering role where you will write code that moves real hardware—stepper motors, precision linear stages, cameras, and microfluidic systems—while also building the software infrastructure around it.

About the Role We are seeking a highly skilled and experienced Senior Software Engineer with a strong background in edge device software, automation, and hardware-software integration. You will work at the intersection of mechanical systems, computer vision, and software, developing the control and automation layer for our medical devices.

Our devices are connected, edge IoT instruments: they run a stack of containerized Python services on Linux, are deployed and managed remotely across a fleet, and coordinate motion control, cameras, computer vision, and a web-based touch UI to carry out delicate lab procedures. This is a hands-on engineering role where you will write code that moves real hardware—stepper motors, precision linear stages, cameras,



and microfluidic systems—while also building the software infrastructure around it.

Responsibilities

Develop and maintain automation software for the precision instruments used in IVF procedures

Integrate and control motorized stages, stepper motors, and encoders through serial and digital interfaces

Build and optimize computer vision pipelines for real-time image analysis (object detection, segmentation, tracking)

Design and implement containerized microservices using Python, Docker, and MQTT for device orchestration

Build and maintain remote deployment, monitoring, and update workflows for a fleet of edge devices

Work closely with hardware and electronics engineers to define and refine HW-SW interfaces

Contribute to system calibration routines, motion planning, and closed-loop control logic

Deploy and maintain software on Linux-based edge and server platforms

Mentor junior engineers and contribute to technical decision-making

Stay up-to-date with emerging technologies and recommend adoption where relevant

Qualifications Required

Bachelor's degree in Computer Science, Electrical Engineering, Mechatronics, or related field (or equivalent experience)

7+ years of professional experience in software development,



with significant focus on edge/device software, automation, or embedded systems

Strong proficiency in Python for application development and system integration

Experience with motor control concepts: stepper motors, encoders, servo loops, homing routines, and backlash compensation

Familiarity with communication interfaces and protocols: serial (RS-232/RS-485), SPI, I2C, USB, or similar

Working knowledge of Linux systems (command line, systemd, networking, deployment)

Experience with Docker and containerized application deployment

Understanding of computer vision fundamentals (OpenCV, image processing pipelines)

Familiarity with Git and version control workflows

Strong debugging and problem-solving skills—comfortable with an oscilloscope as well as a debugger

Excellent communication skills and ability to work in cross-functional teams

Preferred

Master's degree in a relevant engineering or computer science field

Experience building and operating remotely-managed edge/IoT device fleets

Experience with ML-based vision models (YOLO, Roboflow, or similar frameworks)

Knowledge of MQTT or similar messaging protocols for IoT/microservices

Experience with web UI development (React/TypeScript or similar) for device control

Experience with C/C++ for embedded or low-level development

Exposure to cloud platforms (AWS) and CI/CD pipelines

Experience in regulated environments (medical devices, ISO 13485) is a plus

Familiarity with AI-assisted development tools and workflows

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📌 Senior Software Engineer— Instrument Control & Automation (Madrid)
🏢 Overture Life
📍 Madrid