Posted:2 months ago| Platform:
Work from Office
Full Time
Essential Responsibilities (but are not limited to): Responsibilities include (but are not limited to): Work with a cross functional team of engineers, scientists and applications experts to gather and formalize requirements, establish designs, implement and integrate new reconstruction platform/applications capabilities. Learn and understand MR reconstruction platform, advanced reconstruction applications and acquisition techniques to be able to independently develop platform and application components. Investigate and resolve product complaints reported by customers interfacing with customers, field service engineers, MR applications specialists and cross-functional engineering teams. Work with reconstruction engineers, hardware engineers and acquisition engineers to prove feasibility and concepts of high-performance computing of complex reconstruction algorithms and multi-channel data on multi-core or GPU computing environments. Develop and integrate applications & software platform components into the system in accordance with the software development policies and procedures. Translate high level requirements that demand new capabilities into component-level requirements and take them to implementation through proper design choices. Document requirements, design, verification and other key development activities in accordance with established GE Healthcare quality processes. Perform integration & verification activities at component levels. Document designs and verification activities. Brainstorm and come up with the new ideas to implement clinical solutions in the reconstruction domain. Support usage of latest tools, techniques and development environments that enhance team s productivity. Quality Specific Goals: Aware of and comply with the GEHC Quality Manual, Quality Management System, Quality Management Policy, Quality Goals, and applicable laws and regulations as they apply to this job type/position. Complete all planned Quality & Compliance training within the defined deadlines. Identify and report any quality or compliance concerns and take immediate corrective action as required. Support compliance/closure of Regulatory and Quality requirements before completing Design Outputs/Program deliverable Participate in continuous improvement activities by identifying and appropriately escalating process and product quality gaps, providing solutions when possible. Qualifications/Requirements: A Bachelors Degree in Computer Science Engineering/Electrical Engineering, Biomedical Engineering or related computer field, with 3+ years of software development experience. At least 2+ years of technical experience in the software development for systems / products in agile environment. Practical experience in engineering product development processes on cross-functional programs with a focus on related engineering discipline. Strong expertise in C++ and/or Java programming (in a Linux environment will be a plus). Basic understanding and practical experience in usage of Object-Oriented Design (OOD) and Programming (OOP) concepts and Unified Modeling Language (UML). Experience in developing applications using Artificial Intelligence & Deep Learning techniques. Familiarity with industry software development practices, tools and environments such as Software development life cycle from requirements to system integration, Configuration Management systems (Perforce, Gitlab or equivalent), Defect Tracking tools and processes (ClearQuest or equivalent), Debuggers (gdb, gvd, ddd, totalview or equivalent), Software Builds. Strong Analytical and Problem-Solving skills. Experience working in a cross-functional product development or global team environment. Hands on experience in software practices, tools used in agile development environment. Ability to take ownership of tasks and deliver without supervision while using their discretion to seek help when necessary Desired Characteristics: Master s Degree in Computer Science, Biomedical Engineering, Electronics and/or Electrical Engineering. Software development experience in the Medical Device Industry, knowledge of applicable standards and regulations. Experience in developing Signal Processing and/or Image Processing Algorithms in GPU programming environment, with exposure to mathematical methods for optimization on GPUs. Familiarity with Medical Image Reconstruction. (CT or MRI areas will be an added plus). Experience in working with shell/Perl/Python scripting. Experience in docker/containerization. Willing to learn new technologies and flexible with roles and responsibilities.
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