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Be responsible for defining, developing, and evolving software in a fast paced and agile development environment using the latest software development technologies and infrastructure
Provide technical leadership to an agile team of 3-6
Work with a cross functional team of engineers, scientists and applications experts to translate high level PET MR application needs that demand new reconstruction capabilities into component-level requirements
Translate requirements / vision into prioritized list of user stories and deliver to required timelines and quality standards
Design and implement solutions to complex data management and distributed processing software problems in the reconstruction platform domain in accordance with established software development practices and processes
Plan and perform integration activities at component, sub-system and system levels. Document designs and verification activities; perform component & subsystem level verifications, participate in system level verifications and validations as necessary
Understand research and industry trends in the area of PET MR reconstruction and PET MR image processing applications
Work with product line leaders and architects to develop multi generation software technology plans
Drive increased efficiency across the teams, eliminating duplication, leveraging product and technology reuse
Support process improvements which guide the development, sustaining & support activities
Ensure team receives consistent messages and has clear understanding of business direction, strategy and results
Engage subject matter experts in successful transfer of complex domain knowledge
Apply principles of SDLC and methodologies like Lean/Agile/XP, CI, Software and Product Security, Scalability, Documentation Practices, refactoring and Testing Techniques
Write code that meets standards and delivers desired functionality using the technology selected for the project
Understand performance parameters and assess application performance
Work on core data structures and algorithms and implement them using technology chosen
Proactively share information across the team, to the right audience with the appropriate level of detail and timelines
Bachelor's Degree in Computer Science, Electrical Engineering or Computer Engineering
Minimum 6 years’ experience
Experience with Linux based programming on X86 systems.
Experience in object-oriented design methodology and various programming languages, including C/C++
Working knowledge in configuration management tools such as GiT
Minimum 5 years of relevant experience in software projects
US citizens or permanent residents required. We will not sponsor individuals for employment visas, now or in the future, for this job opening
Master's Degree/ PHD in Computer Science, Computer Engineering or Electrical Engineering
Familiarity with Python, Deep learning, Machine learning, Image processing, Image reconstruction and computer vision
Demonstrated proficiency in C++ programming and Object oriented programing concepts applied in a production software environment
Demonstrated expertise with MATLAB or equivalent scientific modeling tools & packages
Experience with Parallel computing concepts and tools - MPI, OpenMP
Experience for 5+ years in designing and architecting high performance systems
Strong understanding of digital signal processing techniques, algorithms and mathematical transforms
Experience with MR Reconstruction processing pipelines; knowledge of various corrections in K-Space and Image space;
Knowledge of emerging Non-CartesianAcquisition/ReconstructionTechniques, motion correction techniques and MR image artifacts will be an added plus.
Working knowledge of MR pulsesequences/acquisitiontechniques and K-space sampling strategies utilized by various clinical applications
Strong understanding of imaging acceleration techniques including parallel imaging and compressed sensing
Experience with GE MR Research reconstruction processing.
Familiarity with High Performance Compute or GPU technologies such as CUDA, Open CL, Tensor Flow
Experience working with C++ and Python IDEs (Eclipse, CLion, Visual Studio, XCode, PyCharm)
Familiarity with Requirements management and troubleshooting for 5+ years
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• Partner with cross-functional teams—including clinicians, product managers, engineers, and external stakeholders—to understand business use cases, clinical workflows, and digital transformation goals.
• Leverage the, including, to architect intelligent solutions that address real-world challenges in healthcare delivery, diagnostics, imaging, and operational efficiency.
• Rapidly design and implement
• Developthat streamline the implementation of AI-driven workflows, ensuring scalability, performance, and ease of integration.
• Guide the integration of foundation models—such as those for medical summarization, clinical coding, image annotation, and patient engagement—into enterprise applications in a secure, privacy-compliant, and cost-effective manner.
• Collaborate with engineering teams to ensure microservices and AI capabilities are production-ready, maintainable, and aligned with compliance standards such as HIPAA, GDPR, and FDA guidelines.
• Advocate for best practices in AI architecture, MLOps, data pipeline design, and observability across GEHC’s ecosystem of solutions.
• 8+ years of experience in technology domains such as software development, cloud computing, systems engineering, infrastructure, security, networking,, and data & analytics
• Bachelor’s degree in computer science, engineering, mathematics, or equivalent
• 5+ years of experience developing technology solutions and evangelizing end-to-end technology roadmaps that guide IT and, with a focus on regulated industries like healthcare
• 5+ years of experience communicating across technical and non-technical audiences and at C-level, including training, workshops, and publications, with an emphasis on
• 3+ years of experience in design, implementation, or consulting in applications and infrastructures, including, or
• AWS certification, such as AWS Solutions Architect, or a similar cloud certification
• Professional experience architecting and operating, with awareness of compliance standards such as HIPAA, HITRUST, or GxP
• Experience modernizing legacy healthcare IT systems to incorporate, or
• Demonstrated ability to adapt to new technologies, learn quickly, and manage high ambiguity in fast-evolving healthcare AI ecosystems
• Excellent written and verbal communication skills
• Proficiency in presenting and whiteboarding with a high degree of comfort speaking with healthcare executives, IT leadership, clinicians, and developers about
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Roles and Responsibilities
Work with the team to help solve business problems
Take ownership of the implementation of individual software components, with high emphasis on quality, test-driven development, and sound software engineering practices
Participate in software design reviews
Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security.
Use software engineering best practices to ensure a high standard of quality for all the team deliverables.
Education Qualification
Bachelor’s degree in Computer Science or related discipline
2+ years of professional software development experience across the stack following modern design principles
1+ year of experience with building scalable, distributed systems using a modern cloud framework such as AWS, Azure or GCPwith a focus on Java, Python, Kubernetes, CI/CD
Handson experience with AWS services (EKS, S3, Lambda, DynamoDB, SQS, CloudWatch) and good to have IoT technologies (AWS IoT Core).
Working knowledge of in Kubernetes, Docker, SQL and NO-SQL databases.
3+ years of professional software development experience
Master’s or PhD degree in Computer Science, Computer Engineering, or related field
Experience with implementation of large-scale distributed systems preferably using AWS technologies
Bring fresh ideas from all areas, including testing and validation automation while maintaining the production availability, conversion automation, distributed computing, large-scale system implementation
Experience with supporting production software deployments
Technical expertise across all deployment models on public cloud, and on-premises infrastructure
Experience in building, tracking, and communicating plans within Agile processes
Excellent technical problem-solving skills and aptitude to learn new technologies and methodologies
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Essential Responsibilities
Qualifications/Requirements
Desired Characteristics
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Minimum Qualifications
Desired Qualifications
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Roles / Responsibilities
Design and implement distributed systems and services across public cloud and edge environments, focusing on performance, scalability, and reliability.
Provide technical direction and mentorship to engineering teams. Lead design and code reviews, and promote engineering best practices.
Work with product managers, architects, and infrastructure teams to translate customer requirements into robust cloud-based solutionsCloud-Native Development
Build services using modern cloud technologies (e.g., AWS Lambda, ECS, S3, DynamoDB, Azure Functions, GCP Cloud Run), emphasizing microservice, containerization, and event-driven architectures.
Engineer systems for low latency, high throughput, and efficient resource utilization. Use profiling, benchmarking, and telemetry to continuously improve service performance.
Implement secure coding practices, integrate with IAM and encryption services, and design for fault tolerance and disaster recovery.
AI-Driven Development
Leverage Generative AI tools to accelerate development cycles, improve code quality, and enhance developer productivity.
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Required Qualifications:
Desired Qualifications:
These jobs might be a good fit