Self-Driving Car Intern

1 Day ago • Upto 1 Years

About the job

SummaryBy Outscal

About the job:
We are offering an exciting internship opportunity for passionate and driven students who are interested in self-driving cars and automation. This role involves hands-on work with our electric car, self-driving hardware, and end-to-end neural networks to develop and test self-driving capabilities in real-world conditions. Responsibilities: Collaborate with the team to integrate and test self-driving hardware and software on our electric vehicle. Develop, implement, and optimize end-to-end neural networks for autonomous driving applications. Analyze and improve performance by testing the vehicle in real-world scenarios and collecting data to refine models. Work on software development tasks using Python and C, focused on automation and neural networks. Conduct regular testing, debugging, and troubleshooting of the vehicle’s self-driving capabilities to ensure reliable and safe operations. Document progress, results, and challenges, and actively contribute to discussions for potential improvements. Participate in brainstorming sessions and contribute creative ideas to enhance the self-driving project.
Must have:
  • Computer Science, Engineering or related field degree
  • Passion for self-driving cars, neural networks, and automation
  • Python and C programming
  • End-to-end neural networks and machine learning
  • Self-initiated projects or knowledge demonstrations
  • Analytical and problem-solving skills
  • On-site work in Electronic City, Bengaluru
  • 3-6 month internship commitment
Good to have:
  • Hands-on experience with automation or robotics hardware
  • Data collection and analysis for neural network training
  • Independent and team work, creativity, and initiative

We are offering an exciting internship opportunity for passionate and driven students who are interested in self-driving cars and automation. This role involves hands-on work with our electric car, self-driving hardware, and end-to-end neural networks to develop and test self-driving capabilities in real-world conditions.

Responsibilities:

  • Collaborate with the team to integrate and test self-driving hardware and software on our electric vehicle.
  • Develop, implement, and optimize end-to-end neural networks for autonomous driving applications.
  • Analyze and improve performance by testing the vehicle in real-world scenarios and collecting data to refine models.
  • Work on software development tasks using Python and C, focused on automation and neural networks.
  • Conduct regular testing, debugging, and troubleshooting of the vehicle’s self-driving capabilities to ensure reliable and safe operations.
  • Document progress, results, and challenges, and actively contribute to discussions for potential improvements.
  • Participate in brainstorming sessions and contribute creative ideas to enhance the self-driving project.


Requirements


  • Currently pursuing or recently completed a degree in Computer Science, Engineering, or a related field.
  • Strong passion for self-driving cars, neural networks, and automation technology.
  • Familiarity with programming languages such as Python and C.
  • Basic understanding of end-to-end neural networks and machine learning concepts.
  • Experience with self-initiated projects or significant demonstrations of knowledge in the field (coursework, research projects, or personal projects related to self-driving technology).
  • Strong analytical and problem-solving skills.
  • Willingness to work on-site in Electronic City, Bengaluru, and commit to a 3-6 month internship.

Preferred Skills:

  • Hands-on experience with hardware components related to automation or robotics.
  • Knowledge of data collection and analysis for neural network training.
  • Ability to work independently and within a team environment, demonstrating creativity and initiative.


View Full Job Description
₹10.0K/yr (Outscal est.)
₹10.0K/yr avg.
Bengaluru, Karnataka, India

About The Company

Karnataka, India (On-Site)

Worldwide (Remote)

Karnataka, India (On-Site)

Karnataka, India (On-Site)

Worldwide (Remote)

Karnataka, India (On-Site)

Karnataka, India (On-Site)

Karnataka, India (On-Site)

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