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Embedded Software Engineer

JR Spain

Almería

Presencial

EUR 40.000 - 60.000

Jornada completa

Hace 30+ días

Descripción de la vacante

A tech company is seeking an Embedded AI/ML Software Engineer to work remotely in Spain or Egypt. You will deploy AI frameworks on automotive platforms and work with real-time systems. Candidates should have at least 3 years of experience in embedded C/C++ development and knowledge of ML frameworks like TensorFlow Lite. This position offers the opportunity to work on cutting-edge automotive technologies.

Formación

  • Minimum 3 years of experience in embedded C/C++ development.
  • Familiarity with at least one ML framework like TensorFlow Lite or ONNX.
  • Hands-on experience with QNX, RTOS, or Linux 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 various processing units.

Conocimientos

Embedded C/C++ development
TensorFlow Lite
ONNX
Linux-based embedded platforms
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:
  • 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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