Hiring.Camp

2027 Summer Intern - Research and Development - Driving Simulation, Automated Driving-Enabled Vehicles

General Motors

·

Yesterday

Location
GM Global Technical Center - RAB - Research Administration Building, United States of America
Workplace
Hybrid
Type
Internship
Department
IT
Seniority
Internship
Education
PhD
Closing date
Today
Source
Workday

Description

Job Description

The Role:  

As a member of the Vehicle Safety, Engineering & Defense Research Lab, you will be working with the Biometrics & Sensing research group.  You will be applying your expertise in autonomous vehicles, driving simulators, human factors, and data science for developing innovative approaches to immersive user studies for automated driving-enabled vehicles.  As a intern in this group, you will implement your solutions in driving simulators 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’ll Do:    

  • Develop immersive user experience simulation solutions for automated driving-enabled vehicles and robotic systems
  • Create tools to aid in the development or deployment of human-vehicle interface solutions
  • Conduct user studies to enable evidence-based decisions about in-vehicle interfaces
  • Participate in government-funded research work
  • Document your research through internal and external publications
  • Facilitate technology transfer via active participation in cross-functional teams

Required Qualifications:     

  • Pursuit of a Advanced Degree (Masters or PhD) in one of the following areas: science, technology, engineering, or mathematics-related field
  • Must be a current student
  • Able to work fulltime, 40 hours per week during the summer months 
  • Hands-on experience building or writing software for a real-time simulator to develop autonomous systems and HMIs
  • Research experience in at least one of the following areas:  Autonomous Vehicle Technology, Connected Vehicles, Advanced Wireless Technology, Robotics, Zero Barrier Mobility/Accessibility, User Experience, Displays, HMI, Simulation, or other related areas
  • Strong theoretical, experimental or software programming skills

 

Preferred Qualifications:    

  • PhD in a related area
  • Hands-on experience building and using real-time simulators to develop autonomous systems and HMIs
  • Familiarity with ROS or ROS 2 robotics framework
  • Hands-on experience with CAN bus communication
  • Experience with data analysis or AI/Machine Learning for engineering applications
  • Hands-on experience running user studies in a driving simulator
  • Demonstration leadership in field of study, extra-curricular activities, or service organizations

 

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).


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).


Work Arrangement: 

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI three times per week, at minimum [or other frequency dictated by the business]. 


GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2027 Student Program - to help facilitate administration of relocation benefits, please apply using the permanent address you would move from. 

 

Start dates for this internship role are May 24th & June 14th of 2027.  

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

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

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

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email 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.

Skills

Machine LearningData Science

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