Software Engineer

GE HealthCare•Waukesha, WI

About The Position

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

Requirements

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

Nice To Haves

Experience designing and developing software platforms, frameworks, SDKs, libraries, or shared infrastructure used by multiple development teams.
Strong understanding of Linux systems programming, concurrency, multithreading, memory management, and performance optimization.
Experience with distributed systems, microservices architectures, containers, orchestration technologies, and cloud-native development practices.
Knowledge of CI/CD pipelines, build systems, automated testing frameworks, developer tooling, and software quality processes.
Experience developing software that leverages GPUs or heterogeneous compute environments, including integration with CUDA, OpenCL, or other accelerator technologies.
Familiarity with observability and operational tooling, including logging, monitoring, profiling, debugging, and performance analysis.
Experience designing APIs and software architectures that support extensibility, maintainability, and long-term product evolution.
Medical imaging, scientific computing, high-performance computing, or other computationally intensive software domains.

Responsibilities

Design, develop, and maintain the software platform, frameworks, and runtime infrastructure that enable reconstruction and imaging algorithms to run efficiently in production environments.
Build scalable, high-performance software components that leverage modern computing architectures, including multicore CPUs, GPUs, and heterogeneous compute environments.
Develop platform capabilities, APIs, tooling, and automation that improve developer productivity, software quality, testability, and deployment efficiency.
Partner closely with algorithm developers, system engineers, and product teams to understand requirements and deliver robust platform solutions that accelerate innovation.
Drive software architecture, reliability, performance, and maintainability across the platform while applying strong software engineering principles and modern development practices.
Take ownership of complex technical challenges, contribute to long-term platform strategy, and help establish best practices that enable team success.
Build expertise, take ownership of complex problems, show accountability while understanding business success is achieved as a team.