MultiDisciplinary Systems Engineer

Job#: 1370649

Job Description:

We are seeking a skilled Multidisciplinary Systems Engineer to join our dynamic team. This unique role requires a combination of skills in electrical engineering, data analytics, firmware development, and software programming. The successful candidate will have a keen understanding of sensor systems, including the ability to interpret complex sensor data and ensure proper sensor calibration.

The essential duties and responsibilities for this role include:

• Collect, process, and interpret complex data sets from a variety of sensor systems, providing insightful and meaningful analysis.
• Apply principles of electrical engineering to refine and optimize sensor design and data acquisition techniques.
• Develop and maintain firmware for a variety of devices with an emphasis on supporting sensor prototyping and integration. This includes creating software interfaces for sensor communication and data acquisition.
• Utilize skills in software development and scripting languages to automate workflows, improve data processing efficiency, and enhance overall system performance.
• Leverage advanced mathematical models and algorithms to troubleshoot issues, predict system behavior, and devise solutions to complex problems.
• Collaborate closely with cross-functional teams to identify technical challenges, develop solutions, and implement improvements.
• Stay current with emerging trends and technologies in the fields of engineering, data science, and technology to drive innovation and improvement.
• Other duties required, as assigned.

All responsibilities are to be performed in accordance with the our core values, standards, policies, and procedures.

Because of the breadth of different technologies used in this system, we understand that candidates may have some but not all of these, and we encourage you to apply even if you don't have all of them. The most important skill for this role will be a readiness to learn. The ideal candidate will have:

• Bachelor's degree in Electrical Engineering or a related field. An advanced degree is highly desirable. Relevant experience in lieu of degree may be considered.
• Software Languages/Applications

• • C/C++
  • C#/.net

• • Python

• • SciLab/MatLab
• Extensive experience in firmware development and data analysis.
• Experience using versioning tools, i.e. Github or similar.
• Proficiency in software development and scripting languages, with a focus on automating tasks and enhancing data processing capabilities.
• Strong understanding of sensor technology, including sensor calibration methods and signal interpretation.
• Demonstrated experience in applying complex mathematical models and algorithms to solve engineering problems.
• Ability to collaborate effectively in a team environment and communicate complex technical concepts clearly.

• Exceptional problem-solving skills and the ability to think critically and analytically.

• Must be able to participate in continued education activities (classes, online training etc.) regarding new and evolving technologies to his/her focus area.

• Must be able to attend corporate (software and hardware) team-building activities.
• Ability to attend off-site software-specific full-day strategy planning sessions.

Preferred work experience is:

• Familiarity with machine learning and AI algorithms
• Experience working with cloud computing platforms.
• Knowledge of Big Data tools and methodologies.
• Understanding of Internet of Things (IoT) technologies and their applications in sensor networks.