Embedded Machine Learning Engineer (m/f/d)
Offerto da:
Disponibile per l’evento:
Luogo di svolgimento del lavoro:
Germany, Wuppertal
Livello di istruzione scolastica:
Tipo di posizione:
Full-time
Numero di posti di lavoro:
1
Descrizione dell’offerta di lavoro
- Development of innovative software features and machine learning algorithms in the area of driver state sensing
- Deploying C/C++ machine learning applications on PC and embedded devices, in particular for Texas Instruments TDA4 platform
- Writing high quality, tested and efficient software in C++ for our AI/ML SW Stack
- Performing neural network runtime optimization, including quantization and pruning
- Optimizing scheduling of multiple neural network models across different device cores
Requisiti professionali
- Master's degree in computer science, electrical engineering or related field
- Relevant practical working experience
- Strong software development skills in C++. You have a passion for clean, well-tested, and well-documented code
- Practical experience with Texas Instruments TDA4 and TIDL deep learning library and related tools
- Experience in integrating multiple SW modules into one system. Solid understanding of process scheduling, threading, pipelining, resource allocation
- Knowledge in compute HW architectures: CPU, GPU, DSP, NPU, SoC, AI accelerators
- Fluent in English. Excellent written and verbal communication skills & interpersonal skills
- Practical experience with Linux, version control systems (Git), build systems (Make, CMake, Autotools) and code review tools (Gerrit, Gitlab, Bitbucket)
- Experience with QNX RTOS (cross-compilation, integration, development)
Requisiti preferenziali
- Valid EU work permit required
Vantaggi
- Fast and transparent application process
- Interviews directly with the department you will be working with
- Individual all-round support during your assignment with our customer
- Free access to the learning platform GoodHabitz with over 100 courses
- Flexible working time account and 30 days of paid leave
