Hardware & Firmware Engineer
Target Launch Date: July 2027
About the Mission
We are building the world’s first autonomous kitchen, targeted for launch by July 2027\. To achieve this, we are bridging high\-level cloud architecture with real\-time physical automation—combining smart material handling, precision motion control, and intelligent computer vision into a single culinary engine.
Instead of relying on rigid, off\-the\-shelf industrial components, we are building a highly agile, custom hardware ecosystem from the ground up to achieve unprecedented flexibility and scale.
The Role
We are seeking a hands\-on IoT, Hardware Embedded Systems Engineer to bring our physical autonomous kitchen to life. You will own the low\-level hardware communication, motor controls, AGV kinematics, and edge computer vision systems. Operating at the bare\-metal and edge\-compute levels, you will act as the technical bridge between our physical actuators on the kitchen floor and our cloud ecosystem.
Key Responsibilities
- Microcontroller \& Edge Architectures: Design and deploy distributed control systems using STM32 microcontrollers for real\-time sensor/actuator logic and Raspberry Pi (or similar SBCs) for edge processing and gateway tasks.
- IoT Protocols \& Communication: Establish and maintain robust communication pipelines using Modbus (RTU/TCP) to interface with hardware peripherals, and MQTT to stream telemetry and receive commands from cloud brokers.
- AGV \& Motion Control: Program and orchestrate Automated Guided Vehicles (AGVs) for ingredient transport. This includes owning the low\-level motion control, managing wheel kinematics, closed\-loop PID tuning and trajectory execution.
- Motor Control System Design: Wire, program, and tune servo motors, stepper motors, and BLDC drives directly from custom embedded boards for precise culinary movements and dispensing.
- Computer Vision at the Edge: Implement and optimize edge\-based computer vision models (running on Raspberry Pi or specialized edge accelerators) for real\-time quality control, ingredient detection, and spatial awareness.
- Prototyping \& Bench Testing: Capable of working in the hardware lab to solder, wire, debug, and validate custom PCBs, sensor arrays, and physical kinematic systems.
- Degree on Electronics Engineering or equivalent (compulsory)
- Embedded Software \& Hardware Experience: 3\+ years building custom IoT systems, bridging software with physical hardware, sensors, and actuators.
- Cross\-functional Colaboration capable of working in close collaboration with mechanical engineering team;
- Integration and Assembly: electromechanical assembly, enclosure and chassis wiring, cable harnessing and routing, thermal management and industrial waterproof and sealing.
- Microcontroller Mastery: Deep, hands\-on experience programming ESP32s (via ESP\-IDF, FreeRTOS, or C/C\+\+) and deploying Raspberry Pi clusters for edge computing.
- Protocol Expertise: Proven practical knowledge of Modbus (TCP/RTU) for serial hardware communication and MQTT for IoT messaging. Low level protocol experience: I2C, SPI, SWD, UART.
- Robotics \& Motion Control: Strong grasp of motor control (servos, steppers) and AGV motion control (differential drive kinematics, closed\-loop feedback, encoder integration).
- Computer Vision: Proficiency with OpenCV, Python, and deploying vision models onto resource\-constrained edge platforms.
- Language Proficiency: Strong programming skills in C/C\+\+ (for bare\-metal/microcontrollers) and Python (for edge/Raspberry Pi tasks).
- Experience with ROS / ROS2 (Robot Operating System) and micro\-ROS for microcontrollers.
- PCB design experience (KiCad, Altium) to spin up custom carrier boards for ESP32/Compute Modules.
- Experience with edge containerization (Docker).
- Agile, Custom Hardware: Leave the clunky, traditional industrial logic behind. You’ll be building nimble, modern, and highly scalable hardware solutions using today's best IoT microcontrollers.
- Watch Your Code Move: See your C\+\+ and Python directly drive real\-world mechanics, AGV navigation, and robotic food assembly in real\-time.
- End\-to\-End Ownership: Take full ownership of the embedded execution layer leading up to our massive July 2027 launch.
Benefícios:
- Cartão/Ticket refeição
- Estacionamento gratuito
- Reembolso de cursos
- Seguro saúde
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