Advanced Industrial Software Engineer

Honeywell

Advanced Software Engineer at Honeywell designing and maintaining AI-enabled industrial software solutions. Leading software lifecycle and integrating AI technologies into products and processes.

Posted 7/9/2026full-timeFort Washington • Pennsylvania, Washington • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AzureCloudCyber SecurityDistributed SystemsDockerJavaKubernetesMicroservicesPythonReact

About the role

Key responsibilities & impact

Design, develop, test, and maintain complex software systems using modern programming languages, frameworks, and architectural patterns.
Own features or subsystems end‑to‑end, from requirements and design through deployment and long‑term support.
Apply disciplined software development practices including version control, code reviews, automated testing, and documentation.
Ensure software meets Honeywell standards for quality, reliability, performance, cybersecurity, and safety where applicable.
Diagnose and resolve complex technical issues in development and production environments.
Integrate AI‑driven capabilities into software products and internal engineering tools to improve functionality, productivity, and decision‑making.
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.
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.
Act as a technical mentor for less‑experienced engineers and contribute to team engineering best practices.
Participate in architecture and design reviews, providing guidance on scalability, maintainability, and AI integration.
Work closely with systems, hardware, cybersecurity, product management, and test teams across Honeywell.

Requirements

What you’ll need

YOU MUST HAVE
- 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.
WE VALUE
- 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).

Benefits

Comp & perks

In addition to a performance-driven salary, cutting-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package.
This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Software DevelopmentAI IntegrationMachine Learning FundamentalsAutomated TestingVersion ControlCode ReviewsDocumentationProduction-Grade Software SystemsContainerizationOrchestration

Soft Skills

Technical MentorshipCollaborationProblem-Solving