Honeywell
Website:
honeywell.com
Job details:
Job Description
We are seeking a dynamic and experienced Software Engineering Manager with a strong background in AI/ML technologies and deep understanding of the industrial domain. This role will lead a cross-functional engineering team focused on building intelligent, scalable, and reliable solutions for industrial applications such as predictive maintenance, process optimization, and smart automation.
Responsibilities
- Team Leadership & Development
- Lead, mentor, and grow a team of software engineers and data scientists.
- Foster a culture of innovation, ownership, and continuous improvement.
- Drive agile development practices and ensure timely delivery of high-quality solutions.
- AI/ML Strategy & Execution
- Architect and oversee the development of AI/ML models tailored to industrial use cases.
- Collaborate with product managers and domain experts to define technical requirements and translate them into scalable solutions.
- Ensure robust model deployment and lifecycle management, including MLOps best practices.
- Industrial Systems Integration
- Design and implement software that interfaces with industrial systems (e.g., SCADA, PLCs, MES).
- Address real-world constraints such as latency, reliability, and safety in industrial environments.
- Work closely with hardware and field engineering teams to ensure seamless integration.
- Cross-functional Collaboration
- Partner with UX, QA, and DevOps teams to deliver end-to-end solutions.
- Communicate technical decisions and trade-offs effectively to stakeholders and senior leadership.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field.
- 8+ years of experience in software engineering, with at least 3 years in a leadership role.
- Strong programming skills in Python, Java, or C++, and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch).
- Proven experience in deploying AI models in production, preferably in edge or embedded environments.
- Solid understanding of industrial protocols (e.g., Modbus, OPC UA) and control systems.
Qualifications
Preferred Qualifications
- PhD or advanced degree in AI/ML or Industrial Engineering.
- Experience with cloud platforms (Azure, AWS) and MLOps tools.
- Familiarity with safety standards and compliance in industrial settings.
- Experience in manufacturing, energy, automotive, or similar sectors.
What We Offer
- Opportunity to work on cutting-edge AI solutions in real-world industrial environments.
- A collaborative and inclusive culture that values innovation and impact.
- Competitive compensation and benefits.
- Career growth in a fast-paced, high-visibility leadership role.
About Us
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.
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