Software Engineer

Job Description Summary

The team developing industry leading CT scanners is looking for highly motivated software engineers to join them to develop the next generation of CT scanners.

You will implement innovative CT image reconstruction algorithms, including the use of deep learning, on latest GPU technologies with an emphasis on performance optimization and algorithm accuracy. You will own and develop software platform components for algorithm and application development within the image reconstruction subsystem.

Job Description

Software Engineer - CT Image Generation (Algorithms)

The team behind industry-leading CT scanners is seeking highly motivated software engineers to help build the next generation of medical imaging technology.

About the team:

Every CT image a radiologist interprets passes through our software. We transform raw detector measurements into clinically meaningful images that help physicians diagnose strokes, detect tumors, identify fractures, and guide critical patient care decisions. This work requires balancing image quality, computational performance, radiation dose, and the realities of clinical workflows.

Our team operates at the intersection of software engineering, applied mathematics, high-performance computing, and medical device development. Almost no engineer arrives with expertise in all these areas, and that is expected. The engineers who thrive here are deeply curious, learn rapidly, embrace challenging and ambiguous problems and are willing to step outside their comfort zone to develop new skills.

We are looking for engineers who take ownership, continuously seek to improve, and are motivated by solving meaningful problems that have a direct impact on patient care. Success in this role comes not from knowing everything on day one, but from having the curiosity, resilience, and drive to learn, contribute, and grow into increasingly complex technical challenges.

In this role you will:

• Take reconstruction algorithms from research prototype to production running inside the scanner leveraging latest high-performance computing hardware (GPGPU/multicore CPU)
• Minimize software errors by applying right software engineering principles and design thinking
• Chase image quality and performance problems that cross algorithm, hardware, and system boundaries.
• Collaborate with cross-functional teams to continuously improve the CT products and how we work
• Build expertise, take ownership of complex problems, show accountability while understanding business success is achieved as a team.

Required Qualifications:

• Bachelor's degree in computer science, engineering, or a related STEM field, or equivalent experience.
• Strong analytical, mathematical and problem-solving skills
• Proficiency in C++ on Linux; comfort with Git and CI/CD
• Familiarity with GPU technologies; CUDA or OpenCL

Desired Characteristics

We are seeking engineers who demonstrate exceptional potential through curiosity, ownership, learning agility, and technical excellence.

• Strong intellectual curiosity and a desire to understand systems deeply, not just use them.
• Demonstrated ability to learn new technologies, tools, and domains quickly and independently.
• Self-motivated and energized by solving difficult, ambiguous problems with limited direction.
• Takes ownership of problems, drives solutions to completion, and continuously seeks better approaches.
• Resourceful in overcoming obstacles and finding practical solutions when the path forward is unclear.
• Comfortable contributing across all phases of software development, including requirements, design, implementation, testing, debugging, performance optimization, and support.
• Strong systems-thinking skills with the ability to understand complex interactions across software and hardware components.
• Actively seeks feedback, learns from mistakes, and continuously improves technical and professional capabilities.
• Collaborative team player who elevates those around them through knowledge sharing, constructive discussion, and technical leadership.
• Demonstrates sound technical judgment, balancing innovation, quality, and delivery.

Additional Technical Experience (Preferred)

• Experience with GPU programming technologies such as CUDA or OpenCL.
• High-performance computing, parallel processing, or performance optimization.
• AI/ML acceleration technologies, tensor cores, or deep learning workloads.
• IPC, microservices, containers, distributed systems, and REST APIs.
• GPU profiling and performance analysis tools.
• Medical imaging, scientific computing, or other computationally intensive software domains.

What Success Looks Like

• Demonstrate proficiency in the team's development environment, including C++, Linux, CI/CD workflows, and GPU-accelerated computing.
• Build sufficient domain knowledge to participate in technical design discussions and influence implementation decisions.
• Contribute code that is maintainable, well-tested, and meets medical device quality standards.
• Deliver software features, algorithm enhancements, or performance optimizations that become part of a released CT product.

We will not sponsor individuals for employment visas, now or in the future, for this job opening.

GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.

Relocation Assistance Provided: Yes