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2024 PhD Intern - Localization

  • Emplacement
    • Austin, Texas
    • Roswell, Georgia
    • Sunnyvale, California
    • Warren, Michigan
  • Horaire Full time
  • Posté


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.