General Motors
Principal Data Engineer, Prognostics
General Motors, Austin, Texas, us, 78716
Hybrid:
This role is categorized as hybrid. This means the successful candidate is expected to report onsite at the Austin IT Innovation Center North - Austin IT Innovation Center North or Warren MI, three times per week minimum or other frequency dictated by the business. This job may be eligible for relocation benefits.Do you imagine a world with zero crashes, zero emissions, and zero congestion? We do! To reach this ambitious goal we are transforming how features are created and unlocking a new level of potential by further integrating our vehicles with their digital world. Put your code on the road and into the hands of millions of GM customers, knowing that what you build will help reduce crashes and save lives.We are seeking a highly skilled and motivated Principal Prognostics Engineer to join our dynamic team. The ideal candidate will be a subject matter expert with a strong technical background in vehicle health management and prognostics. In this role, you will guide the research, design, deployment, and launch of advanced diagnostics and prognostics products. We are looking for an innovative continuous learner and collaborative problem solver who is driven to take ideas to production.Responsibilities:As a subject matter expert on vehicle health management and prognostics, provide guidance and support to internal teams and external stakeholdersContribute to developing software architecture, tools, and processes, and oversee the design, development, and validation of prognostics solutions, ensuring accuracy and reliabilityCollaborate with cross-functional teams, including product management, program management, and engineering teams to ensure the successful delivery of prognostics projectsStay updated on relevant regulations and standards in prognostics, ensuring compliance in all products and initiativesKeep abreast of industry trends and new technology, and educate the global teamMentor and coach team members, fostering a culture of continuous learning and professional growthDrive innovation and research in prognostics methodologies
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This role is categorized as hybrid. This means the successful candidate is expected to report onsite at the Austin IT Innovation Center North - Austin IT Innovation Center North or Warren MI, three times per week minimum or other frequency dictated by the business. This job may be eligible for relocation benefits.Do you imagine a world with zero crashes, zero emissions, and zero congestion? We do! To reach this ambitious goal we are transforming how features are created and unlocking a new level of potential by further integrating our vehicles with their digital world. Put your code on the road and into the hands of millions of GM customers, knowing that what you build will help reduce crashes and save lives.We are seeking a highly skilled and motivated Principal Prognostics Engineer to join our dynamic team. The ideal candidate will be a subject matter expert with a strong technical background in vehicle health management and prognostics. In this role, you will guide the research, design, deployment, and launch of advanced diagnostics and prognostics products. We are looking for an innovative continuous learner and collaborative problem solver who is driven to take ideas to production.Responsibilities:As a subject matter expert on vehicle health management and prognostics, provide guidance and support to internal teams and external stakeholdersContribute to developing software architecture, tools, and processes, and oversee the design, development, and validation of prognostics solutions, ensuring accuracy and reliabilityCollaborate with cross-functional teams, including product management, program management, and engineering teams to ensure the successful delivery of prognostics projectsStay updated on relevant regulations and standards in prognostics, ensuring compliance in all products and initiativesKeep abreast of industry trends and new technology, and educate the global teamMentor and coach team members, fostering a culture of continuous learning and professional growthDrive innovation and research in prognostics methodologies
#J-18808-Ljbffr