Project description Luxoft is one of the major software services companies worldwide. In particular, we develop high-quality software in automotive industry for most famous car makers. The software inside a vehicle was traditionally expected to be a very controlled and self-contained environment. Equipping cars with perception and machine intelligence changes a lot in the overall picture of the vehicle manufacturer. Luxoft's goal is to empower our customers, with deep domain knowledge and smart solutions, to develop cars of the future. The project is dedicated for development of the tools for virtual testing of ADAS systems using data-driven development approach. Tools to be extended to the 2025 kit and allow to test and validate higher automation level cars and bring them to the roads. The target automation level is 3, which means that the car will be fully responsible for driving under specific conditions (highways, specific areas, traffic jams, etc). To bring fully autonomous car to the roads and to bring the future to reality, its safety has to be proven, for this purpose the testing on private grounds or on public roads is not enough as it requires hundreds of millions of kilometers to ride, so the alternative way of testing - virtual testing and data based testing become more and more actual. For the development of the next generation tooling for ADAS (Advanced Driver Assistance Systems) and HAD (Highly Automated Driving) functions for a major German car maker, we are looking for talented engineers and developers. Join our enthusiastic and experienced teams and develop software for the vehicles of the future that will be used on a daily basis by millions of drivers once the next generation of cars hits the roads starting from 2025. Responsibilities Development of a validation tool for evaluation of the virtual equivalent of the functional layer of an ECU. For this purpose, data recorded in the vehicle is compared with reprocessed data. Development of a tool that supports SW developers: providing options of starting/stopping the function execution, docking a debugger, visualising the data, etc. Development of a tool for transforming on-board vehicle network data, i.e. messages recorded in the vehicle and exchanged between the electronic control units. Develop robust and efficient software tools to convert different version and types of memory files into Google Protobuf formatted files. Integrate the conversion tools into existing systems. Write, test, and maintain high-quality code that performs the conversion with accuracy and efficiency. Identify, diagnose, and fix bugs or issues to ensure reliability and stability. Participating in scrum events, Product Demonstration to the customers Skills Must have University degree C++ 17, OOP (5+ years, understanding of syntax and concept of build process) Python (3+ years) Test frameworks, e.g. Pytest for Python and Gtest for C++ Good understanding of test levels (unit, component, system, integration, ...) Git/Github Excellent communication skills, self-sufficient working mode, willingness to learn new technologies Experience of technical leading and client interfacing Experience of design a complex software systems (ideally using IPC, type converters, protobuf, CLang, ...) Strong experience of tasks clarification and transferring design into clear description and acceptance criteria Experience or knowledge of Agile Scrum Nice to have Requirements management / engineering is a strong plus Experience with protobuf Experience with CLang or DWARF Experience with IPC technologies Bazel Docker Java/Groovy/Kotlin CI / CD ADAS TDD methodology Other Languages English: C1 Advanced Seniority Senior