Advanced Industrial Software Engineer at Honeywell
Fort Washington, Pennsylvania, United States -
Full Time


Start Date

Immediate

Expiry Date

07 Oct, 26

Salary

0.0

Posted On

09 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

C++, C#, Java, Python, HTML/React, Docker, Kubernetes, Machine Learning, Generative AI, Large Language Models, Prompt Engineering, RAG, Azure ML, Databricks, Vertex AI, Industrial Process Controls

Industry

Automation Machinery Manufacturing

Description
The Advanced Software Engineer – is a senior technical contributor responsible for designing, developing, and maintaining high‑quality, scalable software solutions that leverage modern software engineering practices with AI‑enabled capabilities. This position focuses on software development of industrial process controls software using AI technology.   This role goes beyond traditional software development by integrating AI‑assisted workflows, machine learning models, and GenAI technologies into Honeywell software products, platforms, and engineering processes. The engineer will work across the full software lifecycle: requirement, architecture, design, implementation, testing, deployment, and operational support while collaborating with cross‑functional teams to deliver reliable, secure, and maintainable systems used in mission‑critical environments.   This position is based in Fort Washington PA. 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.
Responsibilities
Design, develop, and maintain scalable industrial process controls software by integrating AI-enabled capabilities and GenAI technologies. Manage the full software lifecycle from requirements and architecture to deployment and operational support in mission-critical environments.
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