You will closely work with a highly experienced, international, cross functional team of engineers. Part of the Automotive Software Team, we are striving for Total Quality for end-to-end safe and secure products to our customers. We are driven by company core values: raising the bar, engaging curiosity, taking initiative, working together, and developing deep core competence.
Responsibilities
Develop safe, innovative and high performance software products leveraging company’s Automotive SoCs
Participate in full development cycle of next generation automotive Machine Learning systems
Design and implement embedded Machine Learning software and algorithms
In-depth performance analysis/optimization based on the underlying hardware platform including DSPs and Accelerators
Requirements
At least 3-5 years of experience as SW engineer – Embedded software development
Hands-on software design and development experience on complex embedded computing platforms
Knowledge of C++ and scripting tools such as python
Experience with Source Code and Configuration management tools such as git
Good analytical skills
Good communication skills (written and verbal) and team player
University degree in a technical field such as: Computer Science, Electrical Engineering, Mechatronics Engineering or Computer Engineering.
Nice to have (any of the following is considered a plus):
Prior work on Intelligence/Machine Learning, DSP algorithms or Audio processing
Experience with Deep Learning frameworks such as TensorFlow, Keras, PyTorch or with Machine Learning Compiler Framework such as Glow or TVM
Experience with embedded RTOS (Linux, QNX, GHS INTEGRITY, or similar).
Solid math/algorithmic knowledge, especially in the areas of deep learning, computer vision, or driver monitoring
Good knowledge of processor architecture & micro-architecture (SIMD/GPGPU/NEON)
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