Honeywell Data/Signal Processing Engineer in Richardson, Texas
JOIN A TEAM RECOGNIZED FOR LEADERSHIP, INNOVATION AND DIVERSITY
THE FUTURE IS WHAT WE MAKE IT.
When you join Honeywell, you become a member of our global team of thinkers, innovators, dreamers and doers who make the things that make the future.
That means changing the way we fly, fueling jets in an eco-friendly way, keeping buildings smart and safe and even making it possible to breathe on Mars.
Working at Honeywell isn’t just about developing cool things. That’s why all of our employees enjoy access to dynamic career opportunities across different fields and industries.
Are you ready to help us make the future?
Honeywell is a Fortune 100 company with global sales surpassing $40B and has been one of Fortune’s Most Admired Companies for over a decade. Through innovation, the Company brings together the physical and digital world to tackle some of the toughest societal and business problems – making the world a more productive, safe, and sustainable place.
Honeywell’s Sensing and Internet of Things (SIoT) business’s Advanced Technology (AT) groups is looking for a new team member who is motivated by cracking tough challenges with data, trained in problem solving, and with an unending thirst for learning. SIoT AT is responsible for creating and reducing to practice the next generation of sensing systems and solutions for our business.
As a SIoT AT team member you will have endless opportunities to progress your career as you develop new offerings that impact a wide range of industries, improve the quality of life, and truly change the world. Specifically, we are seeking a Data Processing Engineer to work within existing project teams to develop novel sensing systems and methods and build complex calibrations leveraging multi-dimensional data.
Integrate with existing project teams to develop prototype systems and lead the creation of the methods used to collect data from these systems to inform the next prototype design
Act as a technology leader within Honeywell, proposing changes to existing technical approaches to advance projects
YOU MUST HAVE
MS in Engineering, Applied Mathematics, or data processing focused advanced degrees in natural sciences
Three (3) years of experience in a laboratory research environment developing innovative sensors and sensing systems – a key area of interest is in optical sensing systems requiring angular spectrum propagations and/or Fourier transforms
Extensive design & build experience with electronic circuits, laboratory instrumentation, and/or systems testing.
PhD degree in Computer Science, Engineering, Applied Mathematics or related field.
Strong desire to understand and the transduction mechanism of novel sensing systems and subsequently work within a team of like-minded engineers & scientists to develop tailored ML-based data treatment methods
Experience working with remote and global teams
Ability to stay abreast of current and emerging technologies in support of new concept development
Result-driven, positive “can-do” attitude
Strong understanding of the statistics, probability, and algorithms that enable you to quickly come up with solutions that combine multiple information stream
Experience with design and implementation of hardware and software for various applications.
Experience working with low signal to noise type circuits and high EMI environments.
3 years of sensor electrical design engineering experience.
3 years of experience with sensor signal conditioning, ADC’s, ASIC's and microcontrollers in products, circuits, and systems.
Experience with hardware (electronics, embedded devices, circuit design) and/or firmware (HDL/embedded C programming).
Highly skilled in circuits and systems for laboratory instrumentation (e.g. multi-meters, power supplies, oscilloscopes, and data acquisition hardware).
Highly skilled in MATLAB, Lab VIEW, C++, C, and/or Visual Basic.
A strong understanding of big data concepts and knowledge of big data languages/tools
Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.
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