Embedded Engineer

What You Will Do

• Write and own the firmware for our data-capture hardware: sensors, motion-capture rigs, custom IoT setups, and prototype robots.

• Build real-time data acquisition: drivers, DMA, buffering, and streaming from many sensors at once without dropping a sample.

• Solve multi-sensor synchronization, calibration, and time-stamping so every data point lines up across devices and modalities.

• Bring up new boards with our Electrical Engineer and turn fresh hardware into working devices fast.

• Build the path from device to dataset: communication protocols, on-device logging, and handoff into our data pipeline.

• Work shoulder to shoulder with ML engineers. Your firmware decides what their training data looks like, and a timing bug can quietly ruin months of data.

• Make firmware reliable in the field: testing, OTA updates, error handling, and diagnostics that tell us what went wrong.
  

• Up to 5 years writing production firmware for embedded or IoT systems.

• Strong C/C++, experience with an RTOS (FreeRTOS, Zephyr, or similar), and deep familiarity with microcontrollers (STM32, ESP32, NXP, or similar).

• Hands-on experience with peripheral interfaces and protocols: SPI, I2C, UART, USB, BLE, CAN, or similar.

• Experience integrating sensors in firmware: IMUs, cameras, depth sensors, force sensors, or similar.

• A strong understanding of how firmware decisions affect data quality, especially for EMG/EEG sensing: ADC configuration, sample rate, jitter, filtering, and buffering. You know that a great model on a noisy signal still loses to a decent model on a clean one, and you write code accordingly.

• Comfortable debugging at the hardware boundary with a logic analyzer, oscilloscope, and debugger.

• Genuinely curious about ML: you read papers, you have trained at least one model end to end, and you understand that dataset quality beats model architecture choice.

• High agency: you don't wait to be told what to do. You are comfortable in 0-to-1 ambiguity, where the spec is "figure out what the spec should be".

• Discreet: you handle confidential hardware roadmaps and customer data with care.

• Fluent in English. German is a plus.
  

Nice to Have

• A background in robotics, motion capture, or wearable devices.

• Experience with real-time or hard-deadline systems: audio, video sync, or robotic control loops.

• Experience with embedded Linux, time-sync protocols (PTP or similar), or low-power design.

• Familiarity with ML training pipelines. Even if you don't run them, you can read a training script.

• Open-source firmware contributions.

• Experience taking firmware from prototype to small-batch production: test fixtures, provisioning, and certification support.

Pay Transparency

Compensation includes base salary and equity. The salary range for this role is shown on this posting.

What We Offer

• Agency: real ownership from day one, and decisions that actually matter.

• Freedom: to choose how you solve the problem, without layers of approval.

• A seat on a rocketship: one of Europe’s fastest-growing deep-tech companies, at the earliest stage.

• Free food and drinks in the office.