Principal, System Architect

Job Summary

We are seeking an experienced and hands-on Principal Systems Architect to define, validate, and guide the development of next-generation industrial process automation solutions.

The successful candidate will combine strong system architecture skills with practical engineering capability.

In addition to defining end-to-end architectures, this individual will build proof-of-concepts, prototypes, and reference implementations using embedded Linux, containerized applications, and distributed software technologies.

The ideal candidate has experience with industrial automation or other mission-critical systems and can translate business and product requirements into practical, scalable, and maintainable technical solutions.

Experience applying AI technologies within industrial automation is highly desirable.

Key Responsibilities

Systems Architecture


* Lead system-level design across embedded devices, operating systems, software applications, networking, edge platforms, and cloud integration.



* Translate customer, product, and business requirements into scalable and maintainable architectures.



* Define system components, interfaces, data flows, deployment models, and integration patterns.



* Evaluate technology options, perform trade-off analyses, and recommend practical solutions.



* Address complex system challenges involving performance, scalability, reliability, availability, interoperability, and lifecycle support.



* Develop architecture principles, reference architectures, design patterns, and technical decision records.



* Work with engineering teams to ensure architectural decisions are understood and implemented effectively.

Hands-On Prototyping and Technical Validation


* Design and develop proof-of-concepts, prototypes, and reference implementations to validate architectural approaches.



* Build solutions using embedded Linux, Docker containers, distributed services, and industrial communication technologies.



* Evaluate emerging technologies through rapid experimentation.



* Convert successful prototypes into reusable architecture patterns and implementation guidance.



* Support development teams in resolving complex technical and system integration challenges.

Industrial AI


* Identify opportunities to apply AI and machine learning within industrial automation.


*
+ Evaluate AI technologies for industrial automation use cases.
+ Support proof-of-concepts that integrate AI capabilities with embedded devices, industrial edge platforms, and automation systems.
+ Help define how AI models and services should be deployed across device, edge, on-premises, and cloud environments.
+ Ensure AI-enabled capabilities are practical, measurable, and appropriate for industrial operating environments.



* Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, Systems Engineering, or a related ...