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2027 Summer Intern, Onboard Autonomy, Embodied AI

  • 위치
    • Sunnyvale, California
  • 직무 유형 Full time, Intern
  • 게시됨
  • Job Requisition JR-202622135

설명

Work Arrangement:  

Hybrid: This internship is categorized as on-site. The selected intern is expected to report to the office 3 days a week. 


Location:  

Sunnyvale, CA 


About the Team

The Onboard Autonomy team develops the real-time intelligence that enables autonomous vehicles to perceive their surroundings, plan safe and comfortable behavior, and operate reliably on the vehicle. Our work spans sensor fusion, structured perception, trajectory generation, ML planning, local planning, controls, guardrails, evaluation, and vehicle integration.


We combine machine learning, robotics, optimization, and software engineering to build production-oriented autonomy systems that operate in real time and handle challenging driving scenarios.


About the Role

As an Onboard Autonomy Intern, you will contribute to a focused research or engineering project within the onboard driving stack. You will work with experienced researchers and engineers to prototype, evaluate, and improve algorithms or software using vehicle data, simulation, or production-oriented environments.


Potential focus areas include:

  • Sensor Encoders and Fusion: Convert camera, lidar, radar, and other sensor inputs into useful representations for autonomy.
  • Structured Perception: Improve object tracking, online maps, scene understanding, and long-tail scenario handling.
  • ML Planning and Trajectory Generation: Predict behavior, generate trajectories, and select safe driving actions.
  • Local Planning and Controls: Balance collision avoidance, traffic rules, vehicle dynamics, kinematic feasibility, and passenger comfort.
  • Guardrails and Integration: Validate and integrate autonomy components across vehicle platforms to support safe, reliable operation.

What You’ll Do

  • Prototype and evaluate algorithms for perception, prediction, planning, trajectory generation, controls, or integration.
  • Work with real-world driving data and simulation to measure performance and investigate failures.
  • Build data-processing, visualization, testing, and evaluation tools.
  • Contribute to production-quality software through design reviews, code reviews, automated testing, continuous integration, and documentation.
  • Analyze results, improve system performance, collaborate across disciplines, and present technical findings.

Required Qualifications

  • Currently pursuing a Master’s or Ph.D. in Computer Science, Robotics, Electrical or Mechanical Engineering, Controls, Machine Learning, or a related STEM field.
  • Experience through coursework, research, projects, or professional work in machine learning, computer vision, robotics, controls, optimization, or autonomous systems.
  • Strong Python skills and experience with C++ or another systems programming language.
  • Strong analytical, problem-solving, communication, and collaboration skills.
  • Availability to work full-time, 40 hours per week, during the internship.

Preferred Qualifications

  • Experience with autonomous vehicles, ADAS, robotics, or ROS.
  • Experience with PyTorch, TensorFlow, JAX, deep learning, transformers, multimodal learning, reinforcement learning, imitation learning, or trajectory prediction.
  • Background in vehicle dynamics, feedback control, trajectory optimization, motion planning, safety-critical software, simulation, closed-loop evaluation, sensor data, large-scale datasets, or distributed computing.
  • Intent to return to a degree program after the internship or co-op.
  • Must be graduating between December 2027 and June 2028

Compensation:  

  • The monthly salary range for this role is $11,800 – $14,600 per month  
  • GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2027 Student Program. 

What You’ll Get from Us

  • Paid U.S. GM holidays.
  • GM Family First Vehicle Discount Program.
  • Potential for growth within GM based on performance and business needs.
  • Intern events and opportunities to network with company leaders and peers.
  • Mentorship and hands-on experience with the data and ML foundations behind autonomy

다양성 정보

General Motors는 법적으로 금지된 차별을 배제하는 것은 물론 포용성과 소속감을 진정으로 장려하는 직장이 되기 위해 노력하고 있습니다. 당사는 다양성이 보장되는 환경에서 직원들이 역량을 발휘하고 우리 고객을 위한 더 좋은 제품을 개발할 수 있다고 믿습니다. 따라서 입사에 관심 있는 사람이 있다면 포지션별 주요 업무와 자격을 확인하고 본인이 보유한 기술과 능력에 부합하는 모든 포지션에 적극적으로 지원하기를 장려합니다. 지원자는 채용 과정에서 역할 관련 평가(해당하는 경우) 및/또는 채용 전 스크리닝을 통과해야 합니다.  자세한 정보는 GM 채용 과정 안내를 참고하십시오.

공평한 취업 기회 선언 (미국)

General Motors는 공평한 기회를 제공하는 고용주임을 자부합니다.  자격을 만족하는 지원자는 인종과 피부색, 성별, 성적 지향, 성별 정체성, 국적, 장애, 재향 군인 보호법 적용 여부와 상관없이 채용 후보로서 심사를 받습니다. 

숙소 (미국 및 캐나다)

General Motors는 장애인을 포함한 모든 구직자들에게 취업 기회를 제공합니다. 구직이나 취업 지원에 도움이 되는 합리적인 숙소가 필요한 경우 [email protected]으로 이메일을 보내시거나 800-865-7580으로 전화주십시오. 이메일에, 귀하가 요청하는 특정한 숙소에 대한 설명과 귀하가 지원하는 직무와 채용 요청서 번호를 포함해주세요.