Senior Industrial Software Engineer: Edge AI & PLC Lead

engineeringjobs.net, Inc.

San Jose (CA)

On-site

USD 120,000 - 180,000

Full time

3 days ago
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Benefits offered by this job

Medical Insurance
Dental Insurance
Vision Insurance
Life Insurance
Accidental Death and Dismemberment
401(k) Match
Disability Benefits
Wellness Benefits
Education Benefits
Employee Stock Purchase Plan
Paid Time Off
Paid Holidays

Job summary

engineeringjobs.net, Inc. designs and develops industrial automation software, PLC and embedded control systems, and Edge AI/ML solutions for data center infrastructure. The team integrates operational technology with cloud platforms and leads technical design and deployment efforts.

We mentor engineers to improve reliability, efficiency, and operational performance across complex automation environments.

Qualifications

  • Bachelor's degree in engineering or CS; 5+ years in software/embedded/industrial automation.
  • Master's degree preferred; strong programming and embedded firmware experience.
  • Experience with PLCs and industrial systems; ML/edge computing in industrial environments.

Responsibilities

  • Design and develop industrial automation software, PLC and embedded control systems.
  • Develop Edge AI and machine learning solutions for data center infrastructure.
  • Integrate OT with cloud platforms and lead design and deployment efforts.
  • Mentor engineers and drive improvements in reliability, efficiency, and performance.

Skills

Industrial Automation
Embedded Systems
PLC Programming
Machine Learning
Edge AI
C/C++
Python
Embedded Linux
RTOS
SCADA
HMI Development
Industrial IoT
Cloud Computing
Predictive Maintenance
Industrial Networking

Education

Bachelor's degree in engineering or computer science
Master's degree preferred

Job description

engineeringjobs.net, Inc. designs and develops industrial automation software, PLC and embedded control systems, and Edge AI/ML solutions for data center infrastructure. The team integrates operational technology with cloud platforms and leads technical design and deployment efforts.

We mentor engineers to improve reliability, efficiency, and operational performance across complex automation environments.

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