Senior - Firmware Engineer

Senior - Firmware Engineer

At Gradera, we are seeking a highly experienced Senior Firmware Engineer with strong expertise in NXP-based hardware platforms, Yocto-based Linux, and RTOS. The ideal candidate will design and develop firmware solutions that enable real-time data acquisition, processing, and seamless integration with cloud-based Machine Learning (ML) platforms for advanced analytics and training.

This role requires hands-on experience in low-level programming, embedded C# development, and building scalable pipelines to feed device data into cloud ML systems.

Key Responsibilities:

• Design, develop, and maintain firmware for NXP SoCs/MCUs (i.MX, LPC, Kinetis, etc.) using Yocto Linux and RTOS platforms
• Build and customize Linux images using Yocto (BitBake, recipes, layers)
• Develop real-time firmware components with deterministic performance using RTOS
• Implement embedded applications using C/C++ and C# (.NET on embedded targets)
• Design and optimize data acquisition pipelines from sensors/devices
• Ensure reliable and secure transmission of device data to cloud platforms (AWS / Azure / GCP)
• Collaborate with data engineering and ML teams to:
  • Structure data for ML training
  • Enable streaming/batch ingestion pipelines
• Integrate communication protocols:
  • MQTT, HTTP/HTTPS, WebSockets, CAN, UART, SPI, I2C
• Optimize firmware for performance, memory, and power consumption
• Debug and troubleshoot firmware issues across hardware and software layers
• Implement OTA (Over-the-Air) firmware updates
• Ensure security best practices (encryption, secure boot, device authentication)

Required Skills & Qualifications:

• 6+ years of experience in embedded firmware development
• Strong experience with Yocto Project (custom layers, recipes, kernel configuration)
• Solid understanding of RTOS concepts:
  • Task scheduling
  • Interrupt handling
  • Synchronization (mutex, semaphores)
  • Real-time constraints
• Proficiency in:
  • C / C++ (mandatory)
  • C# (.NET Core / .NET nanoFramework / .NET IoT on embedded systems)
• Experience working with Linux kernel, drivers, and device tree
• Hands-on with hardware interfaces (GPIO, I2C, SPI, UART)
• Experience with edge-to-cloud integration
• Knowledge of data streaming pipelines for ML systems
• Familiarity with containerization (Docker) is a plus

Cloud & ML Integration (Must Have):

• Experience sending device data to cloud platforms:
  • Azure IoT Hub / AWS IoT Core / GCP IoT
• Understanding of ML data requirements:
  • Data preprocessing
  • Feature extraction
  • Data labeling pipelines
• Exposure to ML workflows:
  • Data ingestion → storage → training → inference
• Knowledge of tools like:
  • Kafka / Pub-Sub / Kinesis (preferred)

Nice to Have:

• Experience with Edge AI / TinyML
• Knowledge of CI/CD for firmware
• Familiarity with Cybersecurity standards (TLS, secure provisioning)
• Experience with industrial protocols (Modbus, OPC-UA)