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Embedded Software Engineer

JR Spain

Málaga

A distancia

EUR 50.000 - 70.000

Jornada completa

Hace 2 días
Sé de los primeros/as/es en solicitar esta vacante

Descripción de la vacante

A technology company is seeking an Embedded AI/ML Software Engineer for remote/hybrid work in Spain or Egypt. The role involves deploying AI frameworks on automotive platforms. Candidates must have over 3 years of embedded C/C++ experience and familiarity with AI/ML frameworks. This position offers the opportunity to work on advanced driver-assistance systems in a fast-paced environment.

Formación

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

Responsabilidades

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

Conocimientos

Embedded C/C++ development
AI/ML frameworks
Performance tuning
Sensor and perception modules

Herramientas

QNX
RTOS
Linux

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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