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GEH
GE HealthCare Lead Embedded Firmware Engineer United States, Utah, Salt Lake City
Bachelor degree in Electrical Engineering or Computer Engineering. 5 years firmware work experience. 3 years electrical hardware work experience (in parallel with FW experience is acceptable). Proficient in embedded C...
Manage end-to-end (E2E) hiring processes. Plan, initiate, and execute the recruitment workflow. Conduct screening calls, in depth interviews via phone call, video call, and in-person. Partner with hiring managers to...
Design, develop and test data acquisition and image reconstruction solutions utilizing latest high-performance computing hardware and software technologies. Collaborate with cross-functional teams to deliver product to the medical device market....
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...
Analyze complex data sets independently, identify key insights, and translate them into actionable recommendations. Create and maintain dashboards to track performance, monitor KPIs, and communicate insights to the team through...
The scope of automation will cover both Fixed and Collaborative automation including all supporting automation technologies. Work with the MR Coils mfg. sites to define/develop/design automation concepts, work with key...
Bachelor degree in Electrical Engineering or Computer Engineering. 5 years firmware work experience. 3 years electrical hardware work experience (in parallel with FW experience is acceptable). Proficient in embedded C...
Data Engineers are responsible for designing, building, and maintaining the infrastructure and systems that support data management and analysis. They work closely with data scientists, data analysts and other stakeholders to ensure that data is properly collected, stored, and processed to meet the needs of the organization.
Data Engineers are well-versed in a variety of programming languages and technologies, including SQL, Python, and Java, as well as big data technologies like Hadoop and Spark. They have experience in data warehousing, data modeling, and data integration. They also have experience with cloud-based data storage and processing solutions like AWS Redshift and Google BigQuery.