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AI/ML On-site

Working Student Embedded ADAS Software

Job Overview

We are looking for a passionate student to help us bring AI solutions to life on dedicated embedded HW, for ADAS use cases targeting mobile platforms such as passenger cars, trucks or motorcycles.

Key points

  1. Develop / update / maintain various AI / Computer vision component runnables and associated logic…

  2. Develop / update / maintain various AI “glue” code for inference / post-processing of AI models / CV algos…

  3. Generate and analyze performance of various AI models / CV algos in terms of semantic KPIs using various metrics, on various datasets.

  4. Test and analyze performance of various AI models / CV algos in terms of HW efficiency KPIs (e.g. runtime / bandwidth / overall load)…

  5. Algorithms and Data structures.

  6. Embedded programming in real-time environments.

  7. HW / compute architectures.

  8. English – a good level is mandatory.

Skills

Machine LearningDeep LearningPythonAzureDockerLinuxGitPyTorch

Experience: Entry-level · Job type: Full-time

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