Systems Engineer - CT

GE HealthCare•Waukesha, WI

About The Position

The Systems Engineer designs and develops photon-counting CT products that meet customer workflow and clinical needs while supporting product quality, reliability, serviceability, manufacturability, cybersecurity, regulatory compliance, and cost objectives. Systems engineering applies a cross-functional process that considers both business and technical needs, from concept through production and operation. The role involves developing and flowing down requirements, creating and analyzing system architectures and designs, developing system and clinical features, modeling, conducting FMEA, and planning and executing system verification, validation, integration, and reliability testing. The engineer also provides data analytics, supports manufacturing and field issues, and manages customer clinical evaluation sites for new product programs. The Systems Engineer owns CT systems feature and clinical application development projects and coordinates with multidisciplinary teams, including engineering, quality, sourcing, marketing, manufacturing, product management, research teams, clinical partners, and customers. The role drives system-level testing and technical risk decisions, contributes to system designs, and supports technical reviews and design documentation. It also involves organizing customer-site installations and patient scanning, supporting the evaluation process, maintaining customer relationships, and communicating feedback to program and design teams. The engineer applies industry knowledge, technical expertise, artificial intelligence applications, and data analytics to improve product development and systems design practices.

Requirements

Bachelor’s degree in a STEM major, such as Physics, Technology, Engineering, or Math.
At least 1 year of relevant work experience.
Proficiency with software tools for analysis and simulation, such as MATLAB, Simulink, Python, or SysML.
Demonstrated ability to develop timely and effective solutions to challenging design problems.
Demonstrated ability to pursue tasks to completion.
Broad exposure to hardware, software, and systems design, with technical depth in one or more engineering disciplines such as Electrical, Mechanical, or Software Engineering, and/or in Physics or Math.

Nice To Haves

Master’s or Ph.D. in a STEM major, such as Physics, Technology, Engineering, or Math.
At least 5 years of relevant work experience.
Experience in CT systems design and development.
Proficiency in Java, C, or C++.
Proficiency in AI applications.
Excellent verbal and written communication skills.
Self-starter with energy, results orientation, and ability to multitask.
Demonstrated problem-solving ability and results orientation.

Responsibilities

Own CT systems feature and clinical application development projects, including technical risk retirement using systems thinking.
Work with and lead multidisciplinary and cross-functional teams, including engineering platform teams, quality, sourcing, marketing, manufacturing, product management, research teams, and customers.
Manage product and systems requirements, specifications, and flow down to subsystems.
Drive product and system verification and validation activities, including system-level testing.
Manage interfaces between components and execution organizations.
Lead, support, and coordinate technical reviews and design documentation.
Define system test strategy and perform hands-on product integration activities.
Drive CTQ and technical risk trade-offs within teams designing components.
Contribute to system designs and collaborate with marketing, clinical partners, and luminaries on clinical application features.
Manage customer clinical evaluation sites for new product programs, including organizing installation, patient scanning, and support; managing customer relationships; and ensuring feedback is communicated to program and design teams.
Stay current on industry technologies and apply them to product development and systems design practices.
Apply artificial intelligence applications and data analytics to improve productivity and outcomes.
Support manufacturing and field issues.