Software Engineer

About the Role Eden Tech is seeking a hands‑on Software Engineer to support embedded sensing, control systems, and edge AI deployment for our Reverse Osmosis Centrifuge platform. This role will work closely with mechanical, electrical, and test engineers to develop software for real‑time monitoring, diagnostics, data collection, and field operation of safety‑critical hardware. The ideal candidate has experience with embedded systems, IoT or edge computing, Python, C/C++, and hardware/software integration. We are looking for someone practical, scrappy, and comfortable working in a startup environment where systems are evolving quickly. What You Will Do Develop software for embedded sensing, monitoring, diagnostics, and control of ROC systems Build and maintain data pipelines for test systems, edge devices, and remote deployments Support implementation of edge AI workflows for monitoring, anomaly detection, or system optimization Write, test, and debug software in Python and C/C++ for embedded and system‑level applications Troubleshoot microcontrollers, sensors, communication interfaces, and hardware/software integration issues Collaborate with mechanical and electrical engineers on controls, instrumentation, and system integration Support test automation, data analysis, logging, and field diagnostics Maintain software documentation, version control, test procedures, and engineering change records Apply sound software engineering practices for reliability, high‑availability, maintainability, and safe system operation What We Are Looking For Hands‑on software engineering experience with embedded systems, IoT, edge computing, control systems, or field‑deployed hardware Proficiency in Python for data processing, automation, test tooling, or ML/AI workflows Proficiency in C/C++ for embedded or hardware‑adjacent software development Hands‑on experience troubleshooting microcontrollers, sensors, and hardware/software integration issues Familiarity with real‑time or near‑real‑time sensing, monitoring, control, or data acquisition systems Some experience with MLOps, edge AI deployment, model pipelines, or applied machine learning workflows Understanding of control systems, instrumentation, and electromechanical system integration Familiarity with core software engineering practices including version control, testing, documentation, and maintainable code design Comfortable working in a fast‑paced startup environment with high ownership and shifting priorities Nice to Have Experience deploying AI/ML models on edge devices or embedded Linux systems Experience with signal processing, anomaly detection, predictive maintenance, or time‑series sensor data Familiarity with industrial communication protocols such as CAN, SPI, I2C, or UART Experience with cloud platforms, CI/CD, containers, or remote device data management Experience with industrial equipment, aerospace, defense, oil and gas, water treatment, or other field‑deployed hardware Experience with, or an understanding of circuitry and the relationship between hardware and software systems #J-18808-Ljbffr