Job Description Hybrid:

This position is located in Warren, MI & requires an employee to be onsite 3-4 times per week.

Who You Are:

As a member of the Connected Vehicle Experience Research Lab, you will be working with the Connected Vehicle System group. You will be applying your expertise in connected and autonomous vehicles, wireless communication, infotainment, robotics, and data science for developing innovative approaches to enhance customer experience through wireless connectivity. As a researcher in this group, you will implement your solutions in wireless communication and publish your research findings in peer-reviewed journals to extend the reach of General Motors’ development of next-generation technology. This will also include interfacing with universities, research institutes, and other advanced technology laboratories to build a network for amplifying your research.

What You Do:

• Develop connected vehicle data analytics applications for safety, infotainment, and traffic efficiency
• Develop and implement new vehicular data analytics applications and services in prototyping systems
• Evaluate and analyze the developed protocols, systems and application services either via

extensive simulations or via empirical experimental measurements

• Participate in government-funded research work, such as the USDOT collaboration projects
• Document research work through internal and external publications
• Facilitate technology transfer via active participation in cross-functional teams

What You Need:

• The position is subject to export control restrictions and requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).

• Master’s degree in computer science or electrical engineering or civil engineering

• Research experience in at least one of the following areas: mobile systems and applications, wireless communication, wireless network protocols, cyber-physical systems, wireless sensor network, intelligent transportation system, data science, or other related areas

• Strong theoretical, experimental or software programming skills

What Would be Even Better:

• PhD degree in a related area
• Hands-on experience building empirical systems to develop connected vehicular data analytics systems
• Hands-on experience with cloud and edge computing
• Hands-on experience with AI/ML data analytics for engineering applications
• Demonstrates leadership in field of study, extra-curricular activities, or service organizations

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

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Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

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Accommodations@GM.com) us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.