Conceptualize, design and develop products and systems as part of a highly engaged and integrated engineering team. You will be a key technical focal point across Honeywell [Aerospace, Automation Control Solutions, Performance Materials Technology, etc.] engineering teams creating solutions and systems that meet the evolving needs of our customers. By collaborating with customers and broader engineering teams, you will influence hardware design directions and methodology developments. As a hardware engineering technical expert, you will leverage advanced tools and simulation techniques to deliver high impact business results while acting as a technical leader and coach for other engineers
Key Responsibilities- Perform specification reviews and development
- Standards application and improvements
- Develop and improve work practices
- Review process and product quality
- Collaborate with engineering functional teams
- Lead customer discussions on critical product and/ or process design
- Mentor and coach junior level engineers
- Project management
U.S. PERSON REQUIREMENTS Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization
YOU MUST HAVE- Bachelors degree from an accredited institution in a technical discipline such as the sciences, technology, engineering or mathematics
WE VALUE- Significant relevant experience
- Masters Degree or advanced professional certification
- Expert knowledge of product and process technologies or broad knowledge of multiple product and process technologi
- Individuals who are self-motivated and able to work with little supervision
- Ability to consistently demonstrate business impact and continuous drive for improvem
- Ability to influence customers and cross-functional teams to deliver optimal outcome
- Ability to consistently make timely decisions and balancing systematic analysis with decisiveness in an ambiguous environ
