Experienced AD/ADAS Automotive Software Engineer

AVL is one of the world’s leading mobility technology companies for development, simulation and testing in the automotive industry, and beyond. The company provides concepts, solutions and methodologies in fields like vehicle development and integration, e-mobility, automated and connected mobility (ADAS/AD), and software for a greener, safer, better world of mobility.

At AVL, We provide leading technologies and superior services to our customers to create a better world by driving mobility trends of tomorrow. 
AVL in Sweden is now looking for a motivated engineer for the Software department in Liljeholmen. We have customer projects and assignments within Software for AD/ADAS, Electric Drive Systems, ICE, HiL/Testing Environment Development etc.


* Develop and implement software for Autonomous Driving (AD) and Advanced Driver Assistance Systems (ADAS) using state-of-the-art technologies
* Develop custom tools and applications to support AD/ADAS software workflows
* Analyze and evaluate new/existing concepts and solutions
* Technical support for customer projects as well as in internal projects
* Identification of developments in the area of responsibility

* Minimum Bachelor’s degree in Electrical / Electronics / Software, Vehicle engineering or comparable. Preferably Master
* At least 2 year of professional and industry experience
* A genuine interest in automotive systems
* Technical control and architecture skills
* Knowledge in C/C++ and Python
* Fluent in English.

Meriting:
* Agile/Scrum methods and processes
* Experience with CI/CD pipelines and version control systems like Git
* Experience with automotive software standards and tools (e.g., AUTOSAR, ISO26262, MATLAB/Simulink)
* Knowledge of automotive function development process, e.g. V-Cycle, Agile
* Driver license B (C and/or D preferred)
* Overview of the current AD market and related technology trends
* Familiarity with ROS (Robot Operating System) or similar framework
* Prior experience in data processing for LIDAR, radar, and camera-based systems