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Embedded Software Engineer

JR Spain

Donostia/San Sebastián

Presencial

EUR 45.000 - 65.000

Jornada completa

Hace 30+ días

Descripción de la vacante

A leading technology company is seeking an Embedded AI/ML Software Engineer to enhance automotive platforms. This full-time contractor role focuses on deploying AI frameworks in real-time systems. Ideal candidates should have over 3 years of experience in embedded C/C++ and familiarity with ML frameworks. The position offers remote or hybrid work options based in Spain or Egypt.

Formación

  • 3+ years of experience in embedded C/C++ development.
  • Familiar with ML frameworks like TensorFlow Lite and 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 CPU, DSP, GPU, and neural accelerators.
  • Contribute to toolchains, data preprocessing, and model integration.

Conocimientos

Embedded C/C++ development
Familiarity with ML frameworks
Hands-on experience with QNX/RTOS/Linux
Descripción del empleo

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:
  1. Deploy and optimize AI inference engines (e.g., ONNX, TFLite) for embedded targets
  2. Interface with sensor and perception modules on automotive-grade SoCs
  3. Tune performance across CPU, DSP, GPU, and neural accelerator units
  4. Contribute to toolchains, data preprocessing, and model integration workflows
Requirements:
  1. 3+ years in embedded C/C++ development
  2. Familiarity with one or more ML frameworks: TensorFlow Lite, ONNX, TVM, etc.
  3. 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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