Senior Advanced Industrial Software Engineer

Honeywell Honeywell · Industrial · Fort Washington, PA +1

Senior Software Engineer role focused on developing industrial process control software with integrated AI/ML and GenAI capabilities. The role involves the full software lifecycle, collaborating with data scientists, and applying AI for use cases like intelligent automation and anomaly detection. Experience with production-grade software systems, containerization, and AI/ML fundamentals is required.

What you'd actually do

  1. Design, develop, test, and maintain complex software systems using modern programming languages, frameworks, and architectural patterns.
  2. Integrate AI-driven capabilities into software products and internal engineering tools to improve functionality, productivity, and decision-making.
  3. Identify and evaluate high-value opportunities to apply GenAI within software products and engineering processes.
  4. Act as a technical mentor for less-experienced engineers and contribute to team engineering best practices.

Skills

Required

  • Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related technical field
  • Minimum of 8 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 8 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
  • Identify and evaluate high-value opportunities to apply GenAI within software products and engineering processes
  • 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