Embedded Engineer

pbAccelerating embodied AGI. /b /p pThe next ten years of AI will not be won in software. They will be won in the physical world: in factories, hospitals, kitchens, fields, and homes. The companies that own that data will own the century. /p pMicroAGI is building it. We are a data research and deployment lab. bAtlas /b captures the manual work inside Europe’s industrial champions, trains foundation models on it, and deploys the right robot onto the floor, with no teleoperation and no interruption to the line. bShift /b records how physical work actually happens and turns it into training-ready data. /p pWe were founded by former Formula 1 engineers from Red Bull Racing and Mercedes, together with a researcher from the Alan Turing Institute. Our $55M seed round, the largest in German history, was led by Hummingbird with Northzone, LocalGlobe, Village Global, and redalpine. We are based in Munich, with our research centre in Zürich and teams in London, New York, and Istanbul. We are now building the engineering and research teams that will take Atlas into new industries. /p pOur models learn from data captured in the physical world, by hardware we design and build ourselves. As Embedded Engineer, you will own the firmware that runs on that hardware, from the first register write to the moment data leaves the device, so that what reaches our ML team is clean, synchronized, and trustworthy.br/ /p pbWhat You Will Do /b /p ul lipWrite and own the firmware for our data-capture hardware: sensors, motion-capture rigs, custom IoT setups, and prototype robots. /p /li lipBuild real-time data acquisition: drivers, DMA, buffering, and streaming from many sensors at once without dropping a sample. /p /li lipSolve multi-sensor synchronization, calibration, and time-stamping so every data point lines up across devices and modalities. /p /li lipBring up new boards with our Electrical Engineer and turn fresh hardware into working devices fast. /p /li lipBuild the path from device to dataset: communication protocols, on-device logging, and handoff into our data pipeline. /p /li lipWork 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. /p /li lipMake firmware reliable in the field: testing, OTA updates, error handling, and diagnostics that tell us what went wrong.br/ /p /li /ul pbRequirements /b /p ul lipUp to 5 years writing production firmware for embedded or IoT systems. /p /li lipStrong C/C++, experience with an RTOS (FreeRTOS, Zephyr, or similar), and deep familiarity with microcontrollers (STM32, ESP32, NXP, or similar). /p /li lipHands-on experience with peripheral interfaces and protocols: SPI, I2C, UART, USB, BLE, CAN, or similar. /p /li lipExperience integrating sensors in firmware: IMUs, cameras, depth sensors, force sensors, or similar. /p /li lipA 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. /p /li lipComfortable debugging at the hardware boundary with a logic analyzer, oscilloscope, and debugger. /p /li lipGenuinely 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. /p /li lipHigh 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". /p /li lipDiscreet: you handle confidential hardware roadmaps and customer data with care. /p /li lipFluent in English. German is a plus.br/ /p /li /ul pbNice to Have /b /p ul lipA background in robotics, motion capture, or wearable devices. /p /li lipExperience with real-time or hard-deadline systems: audio, video sync, or robotic control loops. /p /li lipExperience with embedded Linux, time-sync protocols (PTP or similar), or low-power design. /p /li lipFamiliarity with ML training pipelines. Even if you don't run them, you can read a training script. /p /li lipOpen-source firmware contributions. /p /li lipExperience taking firmware from prototype to small-batch production: test fixtures, provisioning, and certification support. /p /li /ul h3Who Will Thrive at MicroAGI /h3 pEveryone we hire is assessed on the same four traits: /p ul lipbMission and vision: /byou care about what we are building and why it matters, and your past choices show it. /p /li lipbIntensity: /byou work at a pace that matches the size of the opportunity, and you sustain it. /p /li lipbEntrepreneurial: /byou start things nobody asked for, and you finish them. /p /li lipbRaw IQ: /byou learn fast, reason from first principles, and get sharper when the problem changes. /p /li /ul pbThis is for you if: /b /p ul lipYou would rather own a problem end to end than wait for a spec. /p /li lipYou use AI every day, and you can tell a correct answer from a plausible one. /p /li lipYou want to work in person, in the office, with people who are very good at what they do. /p /li /ul pbThis is not for you if: /b /p ul lipYou are looking for a predictable 9-to-5. /p /li lipYou would forward output you cannot explain. /p /li lip"That’s not my job" feels like a reasonable answer. /p /li /ul h3How We Hire /h3 pWe read every application and reply within five working days. /p ol lipbTalent Screen /b(30 min): a first conversation, both ways. /p /li lipbTechnical or Functional Interview /b(60 min): how you think when the problem changes. /p /li lipbYour Work /b(60 min): bring something you are proud of and walk us through it. /p /li lipbLeadership /b(30 min): a conversation with our CEO. /p /li lipbCoworking Day /b(engineering and research roles): a day building with the team on a real problem. /p /li /ol pThen a decision, usually within a few days. /p h3Pay Transparency /h3 pCompensation includes base salary and equity. The salary range for this role is shown on this posting. /p h3What We Offer /h3 ul lipbAgency: /breal ownership from day one, and decisions that actually matter. /p /li lipbFreedom: /bto choose how you solve the problem, without layers of approval. /p /li lipbA seat on a rocketship: /bone of Europe’s fastest-growing deep-tech companies, at the earliest stage. /p /li lipbFree food and drinks /bin the office. /p /li /ul h3Equal Opportunity /h3 pMicroAGI welcomes applications from everyone. We assess candidates on their work and potential, regardless of ethnic origin, gender, religion or belief, disability, age, or sexual identity. /p #J-18808-Ljbffr