We are a team of passionate individuals from 15 countries developing the world’s first biosecurity platform built to combat critical pest threats to human health, food security and the environment.
With a deep commitment to trust, integrity and collaboration, Flyttr has become the trusted partner of governments, industries, philanthropies and communities seeking to make bold advancements on the biggest pest threats of our time. We work with urgency because lives and livelihoods depend on it. Successful candidates will find Flyttr to be an exhilarating place to do their best work and will find that every person at Flyttr plays a critical role in a dynamic, exciting, team-oriented culture.
Purpose of the Job
We're looking for a mid-level Embedded Software Engineer to design, develop, and maintain firmware for our embedded systems which are comprised of capacitive pest-detection IoT sensors deployed in the field globally. These require robust firmware that reliably operates in a variety of environmental conditions with operations that maximise battery life. A central part of the role is characterising, calibrating and extending the capacitive sensing that underpins detection – including proposing alternative sensing controllers as current parts reach end-of-life, and developing the on-device signal processing needed to scale the platform to new pest species.
This role sits close to the hardware so the engineer will be comfortable not just writing production-quality C code but also getting hands‑on with boards, components, and lab equipment. They must be able to accurately diagnose issues and design new architecture and electronics to support new features. They will be confident working autonomously but with technical direction from the Principal AI Engineer.
The role is hybrid; based in Milton Park, UK.
Responsibilities
- Design, implement, and debug embedded firmware in C for microcontrollers/microprocessors.
- Write low-level drivers for peripherals (SPI, I2C, UART, USB, CAN, ADC/DAC, GPIO, etc.).
- Optimise code for memory footprint, power consumption, and real‑time performance.
- Characterise, calibrate and tune the capacitive sensing front‑end; evaluate and qualify alternative sensing controllers and components as parts reach end‑of‑life.
- Develop and optimise on‑device signal processing and detection algorithms to extend the platform to new pest species.
- Implement and maintain low‑power wireless connectivity (e.g. LoRa/LoRaWAN or cellular NB‑IoT/LTE‑M) for globally deployed field sensors.
- Perform hands‑on board bring‑up: probing signals, verifying power rails, and diagnosing hardware faults.
- Debug hardware/software issues using multi‑meters, oscilloscopes, network analysers.
- Solder and rework through‑hole and SMD components (including fine‑pitch parts) for prototyping and fault isolation.
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