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Embedded Software Engineer

JR Spain

Murcia

A distancia

EUR 45.000 - 65.000

Jornada completa

Hace 4 días
Sé de los primeros/as/es en solicitar esta vacante

Descripción de la vacante

A leading technology firm is looking for an Embedded AI/ML Software Engineer to work in Spain or Egypt. The role involves deploying AI inference engines on automotive platforms and optimizing performance across various hardware units. Candidates should have at least 3 years in embedded C/C++ development and familiarity with ML frameworks. This position allows for remote work with optional hybrid arrangements.

Formación

  • Minimum 3 years of experience in embedded C/C++ development.
  • Hands-on experience with automotive-grade SoCs.
  • Familiarity with one or more machine learning frameworks.

Responsabilidades

  • Deploy and optimize AI inference engines for embedded targets.
  • Interface with sensor and perception modules.
  • Tune performance across CPU, DSP, and neural accelerator units.

Conocimientos

Embedded C/C++ development
Familiarity with ML frameworks
Hands-on experience with QNX or Linux

Herramientas

TensorFlow Lite
ONNX
RTOS

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 computeWe’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 targetsInterface with sensor and perception modules on automotive-grade SoCsTune performance across CPU, DSP, GPU, and neural accelerator unitsContribute to toolchains, data preprocessing, and model integration workflows Requirements:3+ years in embedded C/C++ developmentFamiliarity with one or more ML frameworks: TensorFlow Lite, ONNX, TVM, etc.Hands-on experience with QNX, RTOS, or Linux-based embedded platformsBonus: knowledge of automotive safety standards (ISO 26262), or AI runtime stacks

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