Senior Embedded & Edge AI Engineer – Industrial Automation

Digital Realty

Denver (CO)

On-site

USD 150,000 - 170,000

Full time

2 days ago
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Benefits offered by this job

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

Job summary

Digital Realty in Denver, CO seeks a Senior Software Engineer to lead design and development of software platforms, embedded control systems, and Edge AI for data center infrastructure. You will work across OT, embedded hardware, cloud, ML and automation to deliver scalable solutions, fault detection, energy optimization, and predictive insights.

Candidates bring strong software engineering skills, hands-on PLC, embedded firmware, edge computing, and experience shaping industrial automation at

Qualifications

  • 5+ years of experience in production-grade software and embedded systems.
  • Experience with industrial automation, control systems, or similar.
  • Strong multi-language programming skills as listed.
  • Experience with Edge AI, ML in industrial contexts is a plus.

Responsibilities

  • Design and develop industrial automation software and embedded applications.
  • Develop PLC programs, HMI, SCADA integrations.
  • Create ML and predictive analytics solutions for fault detection and maintenance.
  • Develop Edge AI to enable real-time decision making.
  • Architect scalable software platforms and APIs.
  • Develop firmware for microcontrollers and embedded devices.
  • Design communication interfaces and protocols.
  • Collaborate with OT, facilities, and engineering teams.

Skills

C/C++
Python
Rust
Go
C#
Java

Education

Bachelor's degree
Master's degree preferred

Tools

Embedded Linux
RTOS
ARM microcontrollers
STM32
ESP32
NXP

Job description

Digital Realty in Denver, CO seeks a Senior Software Engineer to lead design and development of software platforms, embedded control systems, and Edge AI for data center infrastructure. You will work across OT, embedded hardware, cloud, ML and automation to deliver scalable solutions, fault detection, energy optimization, and predictive insights.

Candidates bring strong software engineering skills, hands-on PLC, embedded firmware, edge computing, and experience shaping industrial automation at

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