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Embedded Software Engineer

JR Spain

País Vasco

Presencial

EUR 45.000 - 60.000

Jornada completa

Hace 30+ días

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Descripción de la vacante

A leading technology company is seeking an Embedded AI/ML Software Engineer to work on automotive platforms. The role involves deploying AI frameworks and optimizing performance on embedded systems. Candidates should have over 3 years of experience in embedded C/C++ development and familiarity with machine learning frameworks. This position offers flexibility with remote or hybrid work options.

Formación

  • 3+ years in embedded C/C++ development.
  • Familiarity with ML frameworks like TensorFlow Lite or ONNX.
  • Hands-on experience with QNX, RTOS, or Linux-based embedded platforms.

Responsabilidades

  • Deploy and optimize AI inference engines for embedded targets.
  • Interface with sensor and perception modules on automotive-grade SoCs.
  • Tune performance across different processing units.

Conocimientos

Embedded C/C++ development
AI inference engines
ML frameworks (TensorFlow Lite, ONNX)
Linux-based embedded platforms
Descripción del empleo

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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
  • 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
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