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A technology company in Spain is seeking an Embedded AI/ML Software Engineer to join its innovative team developing advanced driver-assistance systems (ADAS). This position involves deploying and optimizing AI frameworks for automotive platforms, with a focus on performance tuning across various hardware components. Ideal candidates will have over three years of experience in embedded development with knowledge of machine learning frameworks and embedded platforms. This role offers the option for remote work based in Spain or Egypt.
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Embedded AI/ML Software Engineer – Automotive Platforms (Spain / Egypt)
Work Location: Remote (Spain or Egypt) | Hybrid optional
Employment Type: Full-time Contractor via TechTeamz
Project Area: Advanced driver-assistance systems (ADAS), in-vehicle AI compute
We’re hiring Embedded Engineers with a passion for deploying AI/ML frameworks on automotive platforms. Join a fast-paced, forward-looking team developing real-time systems at the edge.
Responsibilities:
- Deploy and optimize AI inference engines (e.g., ONNX, TFLite) for embedded targets- Interface with sensor and perception modules on automotive-grade SoCs- Tune performance across CPU, DSP, GPU, and neural accelerator units- Contribute to toolchains, data preprocessing, and model integration workflows
Requirements:
- 3+ years in embedded C/C++ development- Familiarity with one or more ML frameworks: TensorFlow Lite, ONNX, TVM, etc.- Hands-on experience with QNX, RTOS, or Linux-based embedded platforms- Bonus: knowledge of automotive safety standards (ISO 26262), or AI runtime stacks