General Motor

General Motor

2024 PhD Intern - Localization

United States

Closing in 13 days

Description

Work Arrangement ​​

  • Hybrid: Position does not require an employee to be on-site full-

    time, but the general expectation is that the employee be on-site an average of three (3) days each week.

  • Our team is looking for a 2024 PhD Intern - Localization to join us within the SDV Automated Driving Localization team. In this role you have the opportunity to work with a highly-integrated global team and collaborate with groups spanning from Sensing through Planning to Control. Join our team and help us enable a highly advanced autonomous driving feature!

    The Role

  • Develop AV and active safety localization algorithm and software and enables localization technologies that will integrate into a targeted vehicle application, which include developing software and use cases
  • Work on localization and interact with perception, mapping, planning and different sensors such as camera, LiDAR, radar, GNSS/IMU etc.
  • Work closely with Research and Development, software developers, validation engineers, HMI engineers, network engineers and suppliers to develop methods / algorithms / tools to support features
  • Provide technical leadership on the AV and active safety features to personnel supporting the assigned project
  • Support the development of localization software requirements
  • Travel as needed
  • Additional Description

    Required Qualifications

  • Master degree in Computer Science, Robotics, Electrical Engineering, or other related fields
  • Enrolled in PhD degree in Computer Science, Robotics, Electrical Engineering, or other related fields
  • 5+ years' experience in algorithm and software development
  • 3+ years of software C++ programming in real time embedded platforms experience
  • Experienced in one or more of the following domains: computer vision : feature extraction/matching, SLAM, SFM, VO/VIO, multi-view geometry and sensor fusion; point cloud : feature extraction, registration; or state estimation : Bayesian modeling, signal process, KF/EKF, factor-graph, nonlinear optimization, statistical sampling; or machine learning: Deep Neural Network, Transformer
  • What Will Give You A Competitive Edge (Preferred Qualifications)

  • Automotive safety critical electronics experience
  • GM will provide a one-time lump sum taxable stipend payment to each student selected for the 2024 Student Program.

    The salary range for this role is $8,000-$9,400 per month, dependent upon experience.

    Benefit options are not available for this role.

    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 aspire to be the most inclusive company in the world. 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. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.

    Total Rewards 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.

    Diversity Information

    General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer.

    We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.

    Equal Employment Opportunity Statements

    The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity (EEO) Employer and 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 at [email protected] or call us at 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.

    Job details

    Title

    2024 PhD Intern - Localization

    Employer

    General Motor

    Location

    United States

    Published

    November 21, 2023

    Application deadline

    December 21, 2023

    Job type

    Expert

    Field

    Engineering

    About the employer

    We embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Our diverse team of 164,000 employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion.

    Together, we want to make electric vehicles for everyone and safely push transportation beyond our wildest imaginations with autonomous vehicles and advance hydrogen fuel cell technology. We are proud of our achievements so far, but there is more work to be done. Together, for everyone.

     

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