Job Description

We are looking for an Embedded Python Engineer based in Latin America to work on a long-term project for one of our clients, a Software Development company based in Atlanta, Georgia.

Our client is building a secure, bank-grade AI infrastructure and developing cutting-edge applications designed to power the next generation of modern banking and financial services.

Responsibilities

• Architect and implement Python/MicroPython firmware for microcontrollers and single-board computers (Raspberry Pi, ESP32, STM32, Jetson Nano, etc.)
• Build and maintain hardware abstraction layers, sensor drivers, and communication interfaces (I2C, SPI, UART, CAN, USB)
• Deploy and optimize ML models (TFLite, ONNX) for real-time inference on edge hardware, including quantization and pruning workflows
• Profile and tune code for memory, latency, and power efficiency; bridge to C/C++ via Cython or ctypes where needed
• Design hardware-in-the-loop (HIL) test infrastructure and maintain CI/CD pipelines for firmware releases
• Define architecture standards and mentor junior engineers on embedded best practices
• Partner with hardware engineers during PCB bring-up and prototype validation

Requirements

• 5+ years of Python development experience, with 3+ years in embedded or hardware-adjacent environments
• Hands-on experience with MicroPython or CircuitPython on real products
• Solid understanding of RTOS concepts, interrupt handling, DMA, and memory management
• Experience deploying ML models to edge devices (TFLite, ONNX Runtime, Edge Impulse, or similar)
• Proficiency with C/C++ FFI/interop (ctypes, Cython, cffi) and reading hardware datasheets
• Familiarity with communication protocols: UART, SPI, I2C, CAN, Modbus, MQTT
• Experience with Linux-based embedded platforms and cross-compilation toolchains
• Strong debugging skills with oscilloscopes, logic analyzers, and GDB

Bonus Points

• Experience with AI/ML frameworks: TensorFlow Lite Micro, ONNX Runtime, OpenVINO, or llama.cpp
• Familiarity with edge AI hardware accelerators (Coral TPU, Hailo, Jetson)
• Background in robotics (ROS/ROS2), computer vision (OpenCV), or industrial automation (OPC-UA, Modbus)
• Contributions to open-source embedded or hardware projects
• Bachelor’s Degree in Computer Science, Systems Engineering or related fields.

What we offer

• Long term positions
• Compensation in USD
• Paid time off
• Cool clients and products
• Work with great engineers

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