Autonomous Driving Software Specialist
7 days ago
At Luxoft, we are responsible for the integration of system function modules / system functions into the family of autonomous driving ECUs.
We have been supporting our clients since 2018 in ensuring that the Software Components, System Functions, adaptive AUTOSAR and other components work together smoothly.
Our goal is to enable the future of autonomous driving by adapting and enhancing existing Software Components according to updated requirements.
Key challenges include debugging on the Hardware-in-the-Loop, bugfixing of integrated code, enabling of core functionalities as flashing, diagnostics and cryptography.
Responsibilities
- Develop uncompromising software solutions for the autonomous driving platform
- Platform development for safety critical systems based on QNX
- Designing and developing the software in C++ to its validation in HIL and its seamless integration with both hardware and vehicle
- Ensuring that the performance, robustness and security of the developed software is leading the benchmark
- Working with Agile development methods and modern tools, participation in Agile rituals
Skills and Qualifications
We are looking for a skilled professional with:
- Experience in the field of object-focused software development and quality assurance
- 5 + years of experience in C++ 14 (object lifetime, memory management, templates and other software design best practices as implemented in C++). Later projects will need C++17
- Misra Rules and Guidelines
- Clang-tidy & Klocwork
- Experience in Jira, Confluence, Codebeamer, git, Bazel, Linux development environments and cross-compiler toolchains
- Writing robust and reliable software with 100% Unit test coverage using google test/mock
- Understanding of Python for navigating hardware integration tests in Python to control the software on the target using Pytest
- Ability to tackle complex problems by dividing into smaller tasks for practical solutions. Define constraints on tasks to obtain optimal solutions, focus on customer deliveries
- Ability to work independently and proactively
Preferred Qualifications
- Solid understanding of POSIX, experience in QNX is desired
- Experience in Adaptive AutoSAR
- Preferably experience in QNX Momentics
- University degree in Computer Science (or comparable qualification)
- Experience in Safe Software development, ISO 26262
- Experience working in Agile processes
- Experience with performance optimization technics
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