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Embedded Software Engineer

JR Spain

Valencia

Presencial

EUR 35.000 - 55.000

Jornada completa

Hace 30+ días

Descripción de la vacante

An innovative tech company is looking for an Embedded AI/ML Software Engineer to join its team in developing cutting-edge automotive platforms. The role requires expertise in deploying AI/ML frameworks and C/C++ development, with responsibilities including optimization of AI systems for embedded environments. Candidates should have hands-on experience in real-time systems and familiarity with various ML frameworks. This full-time position offers the flexibility of remote work within Spain or Egypt, making it a perfect opportunity for tech enthusiasts in the automotive sector.

Formación

  • 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.

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 accelerator units.

Conocimientos

Embedded C/C++ development
Familiarity with ML frameworks
Experience with QNX, RTOS, or 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:
  • 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
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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