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Software Engineering Manager

Job in Windsor, Dane County, Wisconsin, 53598, USA
Listing for: Genus PLC
Full Time position
Listed on 2026-05-25
Job specializations:
  • Software Development
    Software Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

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.
Requirements
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.
Preferred Qualifications
  • 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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