Honeywell Software Engineer Interview Questions + Guide in 2025

Honeywell is a global conglomerate recognized for its innovative solutions across aerospace, building technologies, performance materials, and safety and productivity solutions. With a longstanding commitment to improving efficiency, sustainability, safety, and comfort, Honeywell continues revolutionizing technology in various industrial sectors.

As a Software Engineer at Honeywell, you will join a team that designs, develops, and integrates cutting-edge software systems. The role encompasses responsibilities such as developing software architecture, coding, integration, testing, and providing customer support. You will work on diverse projects that require proficiency in multiple programming languages, problem-solving capabilities, and collaboration within cross-functional teams. Depending on the specific role, knowledge in areas such as embedded systems, cloud services, Agile methodologies, and software lifecycle management will be valued.

Learn more about the interview process and Honeywell software engineer interview questions, and get tips from current employees on Interview Query. Discover what it takes to become part of Honeywell’s talented software engineering team and prepare to make your mark in the industrial-tech landscape.

The interview process usually depends on the role and seniority; however, you can expect the following on a Honeywell software engineer interview:

Recruiter/Hiring Manager Call Screening

If your CV happens to be among the shortlisted few, a recruiter from the Honeywell Talent Acquisition Team will make contact and verify key details like your experiences and skill level. Behavioral questions may also be part of the screening process.

The Honeywell Software Engineering hiring manager sometimes stays present during the screening round to answer your queries about the role and the company itself. They may also indulge in surface-level technical and behavioral discussions.

The whole recruiter call should take about 30 minutes.

Online Coding Test

Shortlisted candidates may receive an email invite to participate in an online coding test typically hosted on platforms like HackerRank. The test often includes three coding questions ranging from easy to medium difficulty and approximately 15 MCQ questions. This test generally lasts around 1 hour. The questions may cover data structures, algorithms, and problem-solving skills in your preferred programming language.

Technical Virtual Interview

Successfully navigating the recruiter round will invite you to the technical interview. This screening is usually conducted through video conference and screen sharing. Questions in these interviews are based on your previous work experience, coding expertise, and problem-solving skills. Topics such as Data Structures, Algorithms, OOP concepts, and specific programming languages (like Java and C++) are commonly covered.

This phase may also include take-home assignments pertaining to project metrics, analytics, and code optimization.

Onsite Interview Rounds

Following a second recruiter call outlining the next stage, you can attend the onsite interview loop. Conducted over a day, you might meet several team members for multiple interview rounds. Your technical prowess, including programming, system design, and problem-solving capabilities, will be evaluated against the finalized candidates throughout these rounds.

You might also be asked to present or code solutions for real-world scenarios relevant to your role.

HR/Upper Management Interview

Reaching this stage indicates you’ve performed well in your technical rounds. This step typically involves behavioral questions and discussions regarding Honeywell’s culture, your career aspirations, and how they align with the company’s goals. It may also involve some negotiations concerning salary and benefits.

Typically, interviews at Honeywell vary by role and team, but commonly, Software Engineer interviews follow a fairly standardized process across these question topics.

1. Write a function precision_recall to calculate precision and recall metrics from a 2-D matrix of predicted and actual values.

Given a 2-D matrix P of predicted and actual values, write a function precision_recall function to calculate precision and recall metrics. Return the ordered pair (precision, recall).

2. Create an Array class simulating the functionality of fixed-size arrays with a size of 6.

Create an Array class simulating the functionality of fixed-size arrays. Implement methods for getting the length, accessing elements, and adding elements at the back, front, or a specific index. Raise an ArrayFull exception when the array is full.

3. Build a logistic regression model from scratch using gradient descent and log-likelihood as the loss function.

Build a logistic regression model from scratch. Return the parameters of the regression without including an intercept term. Use basic gradient descent as the optimization method and the log-likelihood as the loss function. Do not include a penalty term.

4. Build a random forest model from scratch to classify a new point based on dummy variable data.

Build a random forest model from scratch. The model should take a data frame data and an array new_point with binary values. Each tree in the forest should go through every permutation of the value columns and split the data according to the value seen in new_point. Return the majority vote on the class of new_point.

5. How would you evaluate whether using a decision tree algorithm is the correct model for predicting loan repayment?

You are tasked with building a decision tree model to predict whether a borrower will repay a personal loan. How would you evaluate whether a decision tree is right for this problem?

6. How would you evaluate the performance of a decision tree model before and after deployment?

If you decide to use a decision tree model, how would you assess its performance before deploying it and after it is in use?

7. How does random forest generate the forest, and why use it over logistic regression?

Explain the process by which a random forest generates its ensemble of trees. Additionally, it will discuss why one might choose random forest over logistic regression for certain problems.

8. How would you combat overfitting in tree-based classification models?

When training a classification model, what strategies would you employ to prevent overfitting in tree-based models?

9. What are the assumptions of linear regression?

List and explain the key assumptions that must be met for linear regression to be appropriately applied.

10. Does increasing the number of trees in a random forest always improve model accuracy?

If you sequentially increase the number of trees in a random forest, will the model’s accuracy continue to improve indefinitely? Explain your reasoning.

11. What is the downside of only using the R-Squared \((R^2)\) value to determine the relationship between two variables?

Suppose you are tasked with analyzing how well a model fits the data and want to determine the relationship between two variables. What are the limitations of relying solely on the R-squared \((R^2)\) value?

To help you succeed in your Honeywell software engineer interviews, consider these tips based on interview experiences:

• Know Your Basics Well: Honeywell’s technical rounds emphasize a strong grasp of data structures, algorithms, and object-oriented programming concepts. Spend ample time revising these basics and solving related problems.

• Be Prepared For Behavioral Questions: Behavioral interviews are designed to assess your team spirit, problem-solving approach, and alignment with Honeywell’s values. Practice explaining your thought process and decision-making strategies clearly.

• Polish Your Coding Skills: Practice coding questions often asked in interviews. Platforms like Interview Query provide useful resources and mock interview questions to help you comprehensively prepare for your Honeywell interview.

What is the average salary for a Software Engineer at Honeywell?

What does Honeywell look for in a candidate for the Software Engineer position?

Honeywell prioritizes candidates who are technically proficient and have a strong desire to learn and grow. Key areas of evaluation include proficiency in programming languages, understanding of software development principles, problem-solving capabilities, and effective communication skills. Candidates are also assessed on their ability to work in a dynamic and collaborative environment.

What is the company culture like at Honeywell?

Honeywell maintains a professional and innovative company culture emphasizing continuous learning, collaboration, and diversity. The interviewers are known to be supportive, helping candidates feel comfortable and confident throughout the process. The company values employees who take the initiative, work well in teams, and can adapt to the dynamic needs of the business.

Embarking on a career as a Software Engineer at Honeywell comes with an exciting blend of challenges and opportunities. From the smooth and well-structured interview process to the welcoming environment that fosters learning and growth, Honeywell stands out as a distinguished employer.

Discover more insights and detailed guidance in our main Honeywell Interview Guide for those aiming to prepare thoroughly. We also offer specific interview guides for different roles, such as software engineer and more, providing valuable resources to navigate the interview process confidently.

Good luck with your interview!