Embedded Software Engineer

JR Spain; Lérida; A distancia; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A leading technology company is seeking an Embedded AI/ML Software Engineer to work on automotive platforms, deploying and optimizing AI frameworks. This role is remote or hybrid in Spain or Egypt and requires 3+ years in embedded development, along with experience in ML frameworks. Join a forward-looking team focused on developing advanced driver-assistance systems.

Formación

• 3+ years of experience in embedded C/C++ development.
• Familiarity with machine learning frameworks like TensorFlow Lite, ONNX, etc.
• Experience in tuning performance across various platforms.

Responsabilidades

• Deploy and optimize AI inference engines for embedded targets.
• Interface with sensor and perception modules on automotive-grade SoCs.
• Contribute to toolchains, data preprocessing, and model integration workflows.

Conocimientos

Embedded C/C++ development

AI/ML frameworks (TensorFlow Lite, ONNX)

Performance tuning across CPU, DSP, GPU

Hands-on experience with 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