Hardware Engineering Student

Hardware Engineering Student

ABOUT AUTOBRAINS:

Autobrains enables vehicles to learn about the world like humans do, without human input, and with super-human capabilities. Autobrains’ system fuses all available sensor modalities, creating a meta-sensory representation of the vehicle environment, and  our revolutionary AI platform mimics the way our brain processes signals analyzing the vehicle environment to achieve the desired autonomous awareness.

Autobrains is an extremely fast growing start-up company. Our unique approach of unsupervised learning and signature-based data representation is set to disrupt the automotive perception market.

At Autobrains, you will face never-ending intellectual challenges as we redefine AI for ultra-scale autonomous platforms and products. You will work with great extremely talented people in an amazing environment where professional and personal development are a top priority.

RESPONSIBILITIES:

  • Support embedded systems bring-up, and system configuration
  • Analyze, and profile perception software accuracy, performance, and capabilities across various platforms (SoCs, DSPs, and Machine-Learning accelerators)
  • Optimize hardware performance for the software stack
  • Write and develop Python scripts for end-to-end platforms automation
  • Work with professional hardware and software experts creating top-notch perception solutions for the automotive industry

 

REQUIREMENTS:

  • B.Sc. Student in Electric Engineering/ Computer Engineering/ other relevant field in a leading university or equivalent impressive work experience
  • Completed at least 3 semesters with a minimum GPA of 85
  • Knowledge of machine-learning – advantage
  • Knowledge of computer-vision – advantage
  • Knowledge of embedded systems – advantage

 

PERSONAL QUALIFICATIONS:

  • Enthusiastic superstar problem solver
  • Eager to learn and work with new environments and technologies
  • Team player with excellent communication and interpersonal skills
  • Self-sufficient, able to independently learn and drive tasks end-to-end
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