Algorithm Developer SC

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 automous 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 for the 3d world, and performing actions to make your way in this environment. This is a hads-on role, involving machine-learning, mathematical modeling, control-theory and algorithmic solutions to a varietly of problems, all to ensure our systems perform flawlessly in real-world conditions.

You’ll collaborate with cross-functional teams to decide on the correct data, create algorithms, and act as a technical expert during developement and testing. Your contributions will directly impact the abilites of AutoBrains's autonomous driving technologies.

Requirements:

M.Sc. in Cumputer Science / Electrical Engineering or related field, or equivalent relevant experience.
Excellent coding skills with 5+ years of coding experience (preferred python)
3+ years of hands-on experience in developing ML / algorithmic models
hands-on abiliteis in creating tools/visualisations for the develop process and for the evaluation process
experience/knowledge in control-theory - advantage
specific computer vision experience - advantage
linux environemnt knowledge - advantage
Strong analytical skills and proficiency in creating analysis reports.

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 developement life-cycle: defining the target kpi's, developement and testing, release and integration
extract insights from large amounts of data, contributing to the developement decision making process.
Integrating algorithms with existing frameworks in collaboration with cross-functional teams.