Jobs
Required Skills
Python
We are seeking a highly motivated Manufacturing Engineering with an academic background in Biomedical Engineering, Electronic Engineering, Optical Engineering, or Automation Engineering.
The selected candidate will join the Manufacturing Engineering team, working within a multidisciplinary group involved in product evaluation, data analysis, non‑conformity management, and implementation of structured root cause analysis methodologies.
In this role, the candidate will collaborate closely with engineering, test, and production teams to enhance product performance, improve manufacturing yield, and support continuous improvement across the entire production lifecycle. The position also offers the opportunity to develop technical knowledge related to inertial navigation systems and industrialization processes for high‑tech products.
- Strong analytical mindset and interest in manufacturing processes and continuous improvement.
- Academic background in Biomedical Engineering, Electronic Engineering, Computer Engineering, or Automation Engineering.
- Good knowledge of Matlab and Python.
- Good knowledge of English.
- Familiarity with engineering tools, testing methodologies, and basic scripting or automation is considered a plus.
- Ability to collaborate effectively in a multidisciplinary and fast‑paced environment.
- Solid problem‑solving attitude and structured approach to root cause analysis.
We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
The selected candidate will be responsible for:
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Acquiring technical knowledge related to inertial navigation systems, sensors, and associated testing/characterization methodologies.
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Developing and optimizing testing procedures for both New Product Introduction (NPI) and released products, ensuring robust validation and stable manufacturing processes.
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Supporting debugging activities through Failure Analysis (FA) and structured root cause analysis to improve yield and process reliability.
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Contributing to the automation of engineering workflows, including test automation, reporting, and process optimization.
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Supporting product industrialization, ensuring a seamless transition from prototype to mass production by collaborating with cross‑functional teams.
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Investigating non‑conforming materials, contributing to fast identification and resolution of quality issues.
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Developing and maintaining production statistics to identify trends, highlight inefficiencies, and support improvement plans aimed at enhancing productivity and product quality.
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About Honeywell

Honeywell
PublicThe future is what we make it.
10000+
Employees
Charlotte
Headquarters
Reviews
3.2
4 reviews
Work Life Balance
3.5
Compensation
4.0
Culture
4.0
Career
3.0
Management
2.5
Pros
Good team and helpful colleagues
Fair pay and good benefits
Training and resources available
Cons
Limited job progression
Old boys club culture
High expectations with unclear answers
Salary Ranges
1,391 data points
Mid/L4
Senior/L5
Mid/L4 · Data Analyst II
2 reports
$136,600
total / year
Base
$105,077
Stock
-
Bonus
-
$136,600
$136,600
Interview Experience
4 interviews
Difficulty
2.5
/ 5
Duration
14-28 weeks
Offer Rate
25%
Experience
Positive 0%
Neutral 75%
Negative 25%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Hiring Manager Interview
5
Panel Interview
6
Online Assessment
7
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
Coding/Algorithm
Culture Fit
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