Senior Software Engineer

As a Senior Software Engineer, you will lead the design and development of advanced software platforms, embedded control systems, industrial automation solutions, and Edge AI applications that support Digital Realty's next-generation data center infrastructure.

What You Will Do

Design and develop industrial automation software, control systems, and embedded applications for critical facility infrastructure. Develop PLC programs, HMI interfaces, SCADA integrations, and industrial control solutions supporting cooling systems, power systems, building automation, and data center operations.

Why It Might Be a Fit

This role is ideal for an engineer who combines strong software development skills with hands-on experience in PLCs, industrial controls, embedded firmware, edge computing, machine learning, and intelligent automation.

Requirements

• Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, Mechatronics, Robotics, or a related technical field.
• 5+ years of experience developing production-grade software, embedded systems, industrial automation solutions, or control systems.
• Strong programming skills in C/C++, Python, Rust, Go, C#, and/or Java.
• Hands-on experience developing firmware for Embedded Linux, RTOS platforms, ARM-based processors, STM32, ESP32, NXP, or similar microcontroller architectures.
• Experience designing, programming, and troubleshooting PLC-based control systems using platforms such as Allen-Bradley/Rockwell, Siemens, Schneider Electric, or Automation Direct products.
• Experience with industrial automation technologies including SCADA systems, HMI development, Building Management Systems (BMS), Distributed Control Systems (DCS), and Industrial IoT platforms.
• Knowledge of industrial networking, fieldbus technologies, and OT cybersecurity principles.
• Experience applying machine learning techniques to industrial systems, predictive maintenance, process optimization, anomaly detection, forecasting, or sensor-based analytics.
• Experience developing and deploying machine learning or Edge AI solutions utilizing frameworks such as TensorFlow, PyTorch, ONNX, OpenCV, Scikit-learn, or similar technologies.
• Experience developing edge-computing architectures integrating operational technology with cloud services such as Azure (preferred), AWS, or GCP.
• Experience integrating operational technology (OT) systems with cloud platforms and AI-enabled services.
• Knowledge of data center infrastructure, HVAC systems, liquid cooling technologies, power systems, energy management, or mission-critical facilities is highly desirable.
• Knowledge of AI-assisted automation, digital twins, intelligent monitoring systems, and data-driven optimization techniques for industrial environments is highly desirable.
• Experience with digital twins, advanced controls, robotics, autonomous systems, reinforcement learning, computer vision, generative AI, AI-assisted industrial automation, or model-based engineering is a plus.

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Life and AD&D insurance
• 401(k) match
• Disability benefits
• Wellness and education benefits
• Employee stock purchase plan
• Paid time off
• Holidays