Autonomous Driving Software Engineer Intern (Hybrid)

General Motors Company

Sunnyvale (CA)

Hybrid

USD 107,000 - 115,000

Full time

14 days+

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Job summary

General Motors Company is seeking an Autonomous Vehicle Software Engineer Intern to contribute to design, development, and validation of software powering self-driving systems. You will collaborate with AV Platform teams to build scalable, safety-critical software for real-world autonomous vehicles.

You will develop, test, and deploy production-ready code across vehicle platform components, while rapidly onboarding to the codebase and product area.

Qualifications

  • Pursuing a Bachelors or Masters in computer science or related field.
  • Experience with modern object-oriented programming languages (e.g., Python, C++) in a production or applied project environment.

Responsibilities

  • Develop, test, and deploy production-ready code across components of vehicle platform software.
  • Quickly ramp up on assigned codebase, product area, and/or system.
  • Complete assigned tasks efficiently with few iterations.
  • Identify problem statements, outline optimal solutions, account for tradeoffs and edge cases.
  • Participate in code reviews, technical discussions, and design resign.
  • Collaborate with cross-functional teams including hardware, systems, test, and safety to ensure seamless software integration.
  • Communicate effectively across multiple stakeholders.
  • Provide observability and troubleshooting services of production systems and support.

Skills

Python
C++
OO programming

Education

Bachelor's or Master's in CS or related field

Tools

Linux

Job description

General Motors Company is seeking an Autonomous Vehicle Software Engineer Intern to contribute to design, development, and validation of software powering self-driving systems. You will collaborate with AV Platform teams to build scalable, safety-critical software for real-world autonomous vehicles.

You will develop, test, and deploy production-ready code across vehicle platform components, while rapidly onboarding to the codebase and product area.

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