Diagnostics and Prognostics Researcher - RES0001131 (Warren (Tech Ctr), Michigan, US)

General Motors R&D
Date Posted: 
September 23, 2019
Yilu Zhang, [email protected]

GM R&D is hiring!

About GM

There’s never been a more exciting time to work for General Motors.

To achieve our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion, we need people to join us who are passionate about creating safer, better and more sustainable ways for people to get around. This bold vision won’t happen overnight, but just as we transformed how the world moved in the last century, we are committed to transforming how we move today and in the future.

Why work for us

Our culture is focused on building inclusive teams, where differences and unique perspectives are embraced so you can contribute to your fullest potential as you pursue your career. Our locations feature a variety of work environments, including open work spaces and virtual connection platforms to inspire productivity and flexible collaboration. And we are proud to support employee volunteer interests and make it a priority to join together in efforts that give back to our communities.

What We Do

Internet-of-Things builds many opportunities to improve the life quality of human beings. In the context of vehicle manufacturing, the vehicle engineering data collected through wireless communication (with customer consensus) allow the prediction of vehicle system issues, and the notification of drivers before vehicle performance and, consequently, people’s busy life is impacted. This emerging technology is called Vehicle Health Management (VHM).

GM has been leading the way of developing VHM technology to provide customers with an unprecedented level of assurance, convenience, and ownership experience. An example of VHM is the industry-first OnStar Proactive Alert, a service GM launched a few years ago that provides early warning to customers in case a component failure is impending, thereby turning emergency repairs into scheduled maintenance events. This service is available on more than 2 million GM vehicles as of the end of 2018!

What You Will Do

With the growing demand of VHM, GM R&D invites top talent like you to develop this exciting industry leading technology! Join us if you want to work with a vibrant team to address challenges in cloud-based computing, predictive modeling, AI/ML, and control to advance VHM. We want researchers who have the passion to make positive impacts on people’s everyday life. Here are some other things to look forward to:

• Generate innovative ideas and establish new research areas.
• Generate intellectual property, document results and publish.
• Develop next-generation technologies for vehicle system diagnosis, prognosis, and fault-tolerant controls as well as integration.
• Develop and execute technical plans, including concept generation, development, implementation, and evaluation.
• Lead technical discussions and reviews as an expert in this field internally and externally.
• Maintain state-of-the-art technical expertise in related areas of responsibility.
• Collaborate with cross-functional global teams and world-class universities.

What You Need

Basic Required Skills:

• PhD in Electrical, Controls, Mechanical, Aerospace Engineering with demonstrated research capability or equivalent background.
• Up to 3 years related industry experience.
• Demonstrated knowledge in vehicle control/diagnosis/prognosis system analysis and synthesis.
• Strong background in system diagnosis and prognosis algorithm development and integration.
• Effective verbal and written communication skills.
• Excellent interpersonal skills to work effectively with GM internal and external partners.

What Would Be Even Better

• 3+ years of related industry experience.
• Track record of developing and deploying new technology.
• Experience of project management.
• Experience in vehicle dynamics.
• Experience in environmental sensors, such as camera, radar, lidar.
• Experience in electromechanical actuators.
• Experience in MATLAB/Simulink, dSpace rapid prototyping, ETAS tools.
• Experience in large-scale data processing.
• Experience in hardware and software development.

Hiring manager: Yilu Zhang, [email protected]


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