Autobrains, a leading AI Company in the Automotive Industry, is expanding! Following recent major design wins with leading global OEMs, we're scaling up our algorithmic scope and products. This is your chance to be part of a groundbreaking company at the forefront of autonomous driving, safety, and intelligence.

We are looking for passionate individuals who want to make a real impact, working on state-of-the-art AI solutions that save lives and transform the driving experience. Join us in shaping the next generation of automotive technology.

As an algorithms developer, you'll be at the forefront of creating and optimizing advanced algorithms for autonomous driving - creating a perception of the 3d world, and performing actions to make your way in this environment. This is a hands-on role, involving machine learning, mathematical modeling, control theory, and algorithmic solutions to a variety of problems, all to ensure our systems perform flawlessly in real-world conditions.

You’ll collaborate with cross-functional teams to determine the correct data, create algorithms, and serve as a technical expert during development and testing. Your contributions will directly impact the abilities of Autobrain's autonomous driving technologies.

Requirements:

M.Sc. in Computer Science / Electrical Engineering or related field, or equivalent relevant experience.
Excellent coding skills with 5+ years of coding experience in Python and C++
5+ years of hands-on experience in developing computer vision models
Experienced in computer vision/mathematical algorithm models
Linux environment knowledge
Strong analytical skills and proficiency in creating analysis reports.
Hands-on abilities in creating tools/visualisations for the development process and for the evaluation process

Responsibilities:

As an algorithms developer, you will be responsible for:

Write algorithms to improve our 3d perception of the environment, such as computational geometry, object detection, tracking, and prediction
Craft new evaluation methods to measure the effect of your models
Diagnosing and solving algorithmic issues that are affecting our performance.
work with large amounts of data, taking part in data pipeline designs
Take ownership of the development life-cycle: defining the target kpi's, development and testing, release and integration
Extract insights from large amounts of data, contributing to the development decision-making process.
Integrating algorithms with existing frameworks in collaboration with cross-functional teams.