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Senior Embedded Software Engineer (Systems & Architecture)

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Onsite

Senior Embedded Software Engineer (Systems & Architecture)

Lincoln Electric

Senior Embedded Software Engineer (Systems & Architecture)

Skills

AI

2 months ago

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Important information


Contract type:

Permanent

Location:

Michigan City, IN 46360, USA

Work mode:

Onsite

Published on:

27 August 2026

What they need


We’re looking for a Senior Embedded Software Engineer to drive software architecture across a diverse portfolio of embedded and connected products. This role blends system-level design, hands-on development with real hardware, and technical leadership within a growing engineering organization.

Architecture & Technical Leadership

  • Lead evolution of software architecture across embedded and connected systems
  • Balance near-term delivery with long-term scalability, maintainability, and reliability
  • Drive design reviews, technical standards, and cross-team architectural alignment

Hands-On Development & System Debugging

  • Design, build, and debug software for embedded controllers, industrial systems, and HMIs
  • Work directly with hardware, including custom embedded systems and industrial controllers
  • Diagnose complex system-level issues spanning software, firmware, hardware, and real-world conditions

Testing & Quality Engineering

  • Elevate automated testing practices across teams
  • Design unit and integration testing strategies for embedded and application layers
  • Lead development of automated test systems to improve coverage, reliability, and release velocity

Mentorship & Engineering Culture

  • Mentor engineers through code reviews, pairing, and technical coaching
  • Promote strong engineering fundamentals and pragmatic problem-solving
  • Help build a culture of ownership, collaboration, and continuous improvement

Cross-Functional Collaboration

  • Contribute as a senior member of a Scrum team spanning multiple product lines
  • Partner with hardware, firmware, systems, and application engineers
  • Manage competing priorities and context switching while maintaining high standards

AI & Engineering Productivity

  • Help define and implement responsible use of AI in engineering workflows and products
  • Establish practical use cases, guardrails, and best practices

Why This Role Stands Out

  • Work on real-world machines , not just software
  • Influence architecture, testing strategy, and engineering culture
  • Balance hands-on problem solving with long-term system design
  • Help shape how AI is responsibly integrated into engineering workflows

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