Software Engineering Manager
Listed on 2026-05-25
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Software Development
Software Engineer, AI Engineer
Role Overview
Genus PLC has an exciting opportunity. We are looking for a Software Engineering Manager to lead a multi-domain software team building embedded firmware, HMI/SCADA systems, instrument applications, and cloud-connected mobile/web platforms for cutting-edge agricultural equipment. As part of the Biosystems Engineering R&D organization, you will drive technical vision, team growth, and delivery excellence across a full-stack, AI‑infused product portfolio.
The successful candidate is a forward‑thinking, strategic leader who thrives at the intersection of real‑time systems and modern application development. They rigorously evaluate possibilities, make pragmatic tradeoffs, and maintain a big‑picture perspective while driving innovation. This individual brings strong people leadership, takes ownership, and is a clear, influential communicator who builds effective relationships and partnerships across a dynamic, cross‑functional, multidisciplinary organization.
Energized by harnessing AI to accelerate engineering outcomes, they proactively identify and pursue opportunities to advance innovation within the R&D pipeline.
This is a hybrid role in the Windsor, WI area with a minimum requirement of three (3) days a week on site.
You Will- Represent Software Engineering in cross‑functional R&D core teams delivering complete instrument and automation products.
- Lead a software organization spanning embedded firmware, HMI/SCADA, instrument control applications, and mobile/web platforms.
- Define and own the technical roadmap – architecture, platform strategy, AI integration, and shared services across domains.
- Partner with senior engineers and product management to translate customer, business, and regulatory requirements into actionable software backlogs and delivery plans.
- Drive Agile/Scrum execution across multiple work streams, maintaining clear visibility into status, quality metrics, risks, and deployment readiness.
- Provide hands‑on technical mentorship: performance management, coaching, career development, code review culture, and continuous feedback.
- Champion an AI‑augmented engineering practice – leveraging LLM‑assisted development, AI‑powered testing, automated code review, and data‑driven optimization where appropriate.
- Own the controlled software deployment lifecycle from lab to production floor, including versioned firmware release, over‑the‑air updates, and rollback strategies.
- Build and evolve CI/CD pipelines promoting automation, quality gates, containerized builds, and release‑driven deployment across embedded and application stacks.
- Lead adoption of strategic technologies, modern architectures, and best practices to keep the organization competitive.
- Ensure compliance with technical standards, regulatory requirements (FDA, IEC 62304, ISO, GDPR/data privacy), security, and safety protocols.
- Uphold Genus core values, mission, and vision.
Basic Qualifications
- A university degree in Computer Science, Electrical Engineering, or a STEM discipline.
- A minimum of 10 years of professional software development experience.
- A minimum of 3 years leading, managing, and growing teams of software engineers.
- Hands‑on experience in at least two of these domains:
- Embedded systems / firmware / RTOS (C, C++, Rust)
- HMI / SCADA / industrial automation / PLC integration
- Web and/or mobile application development (React, Angular, Flutter, etc.)
- Cloud‑connected / IoT instrument applications
- Instrument control, agricultural technology, or biomedical device industry
- Agile/Scrum methodology with experience defining "Definition of Done" and delivery ceremonies.
- Proficiency in at least two languages including C/C++ and a modern language (Type Script, Python, Go, Java).
- Authorized to work in the U.S. without sponsorship.
- Master’s degree in a relevant field.
- Experience integrating AI/ML capabilities into products or engineering workflows (LLM tooling, vision systems, predictive analytics, edge AI).
- Web framework experience:
React, Angular, Vue, or equivalent. - Mobile framework experience:
Flutter, React Native, Swift, Kotlin. - SCADA/industrial protocol experience:
Modbus, OPC UA, BACnet, MQTT. - Real‑time…
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