Systems Architect - Device and Edge Software

Core Responsibilities

• Define and maintain reference architectures, design patterns, and technical standards for device, embedded, edge, and mobile-connected software.
• Establish common approaches for firmware, edge applications, data handling, communications, and lifecycle management.
• Ensure architectural decisions support scalability, reliability, safety, and security requirements.
• Drive the strategic use of AI and ML by establishing data feedback loops, AI/ML pipelines, and model lifecycle management—treating data as a product and AI as a platform differentiator.
• Own a portion of the internal technology radar and innovation pipeline, regularly evaluating and incorporating transformative technologies.
• Foster a culture of agile innovation, engineering excellence, and continuous learning.
• Help build a culture of secure, ethical, and transparent technology practices—leading compliance with cybersecurity, privacy, and responsible AI frameworks.
• Partner with product management and engineering teams to enable new and evolving connected product capabilities.
• Guide architectural decisions related to embedded compute, edge processing, sensors, mobile-connected workflows, and advanced software features.
• Promote reuse and consistency of software components across devices, edge platforms, and hybrid mobile applications.
• Define patterns for integration between device and edge software, hybrid mobile applications, and enterprise or cloud-based platforms.
• Ensure solutions support a range of deployment models, including online, offline, and hybrid environments.
• Promote interoperability with internal systems and third-party technologies where appropriate.
• Define secure-by-design architectural principles, including device identity, access control, and software update mechanisms.
• Ensure alignment with applicable safety, quality, and industrial cybersecurity standards.
• Participate in design and architecture reviews to assess risk, resilience, and compliance.
• Collaborate across product management, software, hardware, manufacturing, service, IT, and mobile application development teams.
• Provide technical leadership, mentorship, and guidance to engineers / engineering teams.
• Influence architectural decisions through expertise, data, and collaboration rather than direct authority.
• Partner with Product Management to translate market-defined requirements into scalable, maintainable, and extensible platform capabilities.
• Partner with Product Management, Customer Success, and Field Service teams to ensure user-centric roadmap delivery.
• Serve as the technical voice in strategic customer conversations and enterprise implementations.
• Ensure strong integration between cloud software, IoT hardware, and connected products ecosystem.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field required; Master’s degree preferred.
• 8+ years of experience in embedded systems, firmware, device software, edge computing, or IoT-connected mobile application ecosystems, with demonstrated experience in architectural design or technical leadership roles.
• Experience delivering software for industrial, connected, or safety-critical products preferred.
• Strong understanding of embedded, edge, and IoT-connected mobile application architectures.
• Experience designing systems that support hybrid mobile applications (online/offline, secure local connectivity, cloud synchronization).
• Ability to think systemically across hardware, software, edge, and mobile boundaries.
• Experience balancing innovation with scalability, reliability, and maintainability.
• Strong communication skills and ability to influence cross-functional stakeholders.
• Expertise with machine learning, natural language platforms, and real-time inference frameworks.
• Leadership & Collaboration: Visionary technical leader who can inspire cross-functional teams and align stakeholders to a shared product vision.
• Exceptional communicator across technical and non-technical audiences.
• Committed to data-driven decision-making and delivery excellence.