Advanced Industrial Software Engineer

Honeywell Honeywell · Industrial · Fort Washington, PA +1

Software Engineer at Honeywell focusing on industrial process controls, integrating AI/ML and GenAI capabilities into software products and engineering processes. Responsibilities include full software lifecycle development, applying AI for automation and insights, and collaborating with data science teams. Requires 5+ years of experience in industrial software engineering and integrating AI components.

What you'd actually do

  1. Design, develop, test, and maintain complex software systems using modern programming languages, frameworks, and architectural patterns.
  2. Own features or subsystems end‑to‑end, from requirements and design through deployment and long‑term support.
  3. Apply disciplined software development practices including version control, code reviews, automated testing, and documentation.
  4. Integrate AI‑driven capabilities into software products and internal engineering tools to improve functionality, productivity, and decision‑making.
  5. Use GenAI tools responsibly to assist with code generation, documentation, test creation, debugging, analysis, and summarization.

Skills

Required

  • Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related technical field
  • Minimum of 5 years of professional software engineering experience in the industrial field
  • Prior experience integrating AI or data‑driven components into software products
  • Strong proficiency in one or more modern programming languages or frameworks (e.g., C++, C#, Java, Python, or modern web technologies such as HTML/React)
  • Experience building and maintaining production-grade software systems, including containerized and orchestrated environments using Docker and Kubernetes

Nice to have

  • Experience in industrial, embedded, real‑time, or mission‑critical software environments
  • Familiarity with cloud platforms, distributed systems, or microservices architectures
  • Experience with machine learning fundamentals, including model types, evaluation metrics, and data considerations
  • Familiarity with Generative AI concepts, such as large language models (LLMs), small language models (SLMs), embeddings, prompt engineering, and retrieval‑augmented generation (RAG)
  • Experience working with high‑performance artificial intelligence technologies, including leading commercial and open‑source models and inference frameworks (e.g., LLMs, vision models, local or edge inference runtimes)
  • Experience with cloud‑based AI platforms (e.g., Azure ML, Databricks, Vertex AI, or equivalent)

What the JD emphasized

  • Minimum of 5 years of professional software engineering experience in the industrial field
  • Prior experience integrating AI or data‑driven components into software products

Other signals

  • integrating AI-assisted workflows, machine learning models, and GenAI technologies into Honeywell software products, platforms, and engineering processes
  • Apply AI techniques for use cases such as intelligent automation, anomaly detection, predictive insights, natural-language interfaces, and engineering workflow acceleration
  • Collaborate with data scientists and platform teams to incorporate machine learning or GenAI components into production-grade software systems
  • Use GenAI tools responsibly to assist with code generation, documentation, test creation, debugging, analysis, and summarization
  • Design software interfaces and workflows that safely and effectively consume AI model outputs
  • Validate AI-assisted outputs to ensure correctness, robustness, and alignment with Honeywell standards