RT Embedded Software Engineer

ABOUT AUTOBRAINS:

Autobrains enables cars to learn about the world like humans do, without human input, and with super-human capabilities. Autobrains technology is based on a revolutionary AI platform that mimics the way our brain processes signals, and the Autobrains system supports fusing all available kinds of sensors.

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 PoCs and customer demonstrations over real vehicles
Implement Autobrains’ cutting edge innovative algorithms in a RT embedded system
Take part in planning, designing and building Autobrains’ development infrastructure, using state-of-the-art technologies.
Dive into new and exciting technologies and programming languages.

REQUIREMENTS:

BSc. in Computer Science/Software Engineering/EE/other relevant field in a leading university or equivalent impressive work experience – Must
MSc . in Computer Science/Software Engineering/EE/other relevant field or equivalent work – Advantage
2+ years of R&D experience in C/C++ and/or Python – Must
RT Embedded Software Programming Experience – Significant Advantage
Computer Vision and/or Machine Learning experience – Advantage
Development in Linux Environments – Advantage
Development in automotive SoCs – 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