Senior Software Engineer

Job-:
Product & Engineering

Location:

Dallas, TX, United States;
Ashburn, VA, United States;
Boston, MA, United States;
New York, NY, United States;
San Francisco, CA, United States Workplace:
Hybrid

Schedule:

Full time Senior Software Engineer – Industrial Automation, Embedded Systems, Machine Learning & Edge AI

Location:

Ashburn, VA | Dallas, TX | Chicago, IL | Santa Clara, CA | Austin, TX | San Francisco, CA | Seattle, WA | Denver, CO | Charlotte, NC | Boston, MA | New York, NYYour Role 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.

Working across operational technology (OT), embedded hardware, cloud platforms, machine learning, and intelligent automation environments, you will create scalable solutions that improve reliability, efficiency, predictive insights, and operational performance across critical infrastructure systems.

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. You will help drive innovation in power, cooling, automation, predictive analytics, digital twins, and AI-enabled infrastructure technologies across Digital Realty's global operations.

What You'll DoDesign 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.

Create machine learning and predictive analytics solutions for fault detection, predictive maintenance, energy optimization, anomaly detection, and operational intelligence.

Develop and deploy Edge AI and machine learning solutions that enable real-time decision-making, anomaly detection, predictive maintenance, intelligent control, and operational optimization across industrial and facility systems.

Architect and develop scalable software platforms, APIs, microservices, and edge computing applications utilizing modern software engineering practices.

Develop firmware and real-time software for microcontrollers, embedded Linux devices, industrial gateways, sensors, and intelligent control systems.

Design and implement closed-loop control algorithms, data acquisition systems, and edge analytics platforms.

Integrate PLCs, embedded devices, Building Management Systems (BMS), SCADA platforms, and Industrial IoT systems with enterprise and cloud-based applications.

Design and implement communication interfaces and industrial protocols including Modbus RTU/TCP, BACnet, OPC-UA, Ether Net/IP, Profinet, MQTT, CAN Bus, I²C, SPI, Ethernet, and serial communications.

Collaborate with operations, facilities, and engineering teams to deploy automation, monitoring, and optimization solutions across global data center environments.

Lead technical design reviews, mentor engineers, establish engineering standards, and evaluate emerging industrial automation, edge computing, and AI technologies.

What You'll Need Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, Mechatronics, Robotics, or a related technical field. Master's degree preferred.
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…