AutoBrains Technologies
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  • Published: January 5, 2022
Category
Job Type
Level of education
Masters
Spoken Language needed
Hebrew
Level of Hebrew
Fluent
Location of job
Tel Aviv/ Ramat Gan
How many relevant years experience do you require for the role:
More than 3 years

Description

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.

In 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:

- Develop applications for automotive processors and special-purpose hardware accelerators
- Create, set-up and visualize customer demonstrations over real vehicles
- Implement AutoBrains cutting edge innovative algorithms in an RT embedded system
- Take part in planning, designing and building AutoBrains’s development infrastructure, using state-of-the-art technologies.
- Dive into new and exciting technologies and programming languages.

Requirements

- B.Sc. in Computer Science/Software Engineering/EE/other relevant field in a leading university or equivalent impressive work experience - Must
- M.Sc . in Computer Science/Software Engineering/EE/other relevant field or equivalent work - Advantage
- 5+ years of R&D experience in RT Embedded Software Programming – Must
- Team lead Hands-On experience – Significant Advantage
- Strong C/C++/Python experience – Must
- Computer Vision and/or Machine Learning experience - Advantage
- Development in Linux/RTOS Environments - Advantage
- Development in automotive SoCs - Advantage

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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