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Embedded Software Engineer

JR Spain

Granada

Presencial

EUR 45.000 - 70.000

Jornada completa

Hace 30+ días

Descripción de la vacante

A leading tech firm is looking for an Embedded AI/ML Software Engineer to join their team focused on automotive platforms. This role involves deploying AI frameworks on embedded systems, requiring over 3 years of C/C++ development experience and familiarity with ML frameworks. The position offers remote work options and a full-time contract.

Formación

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

Responsabilidades

  • Deploy and optimize AI inference engines for embedded targets.
  • Interface with sensor and perception modules.
  • Tune performance across various processing units.
  • Contribute to toolchains and model integration workflows.

Conocimientos

Embedded C/C++ development
ML frameworks familiarity
QNX or RTOS experience
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

Job Description:

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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