Embedded Software Engineer

JR Spain; Huelva; Presencial; EUR 30.000 - 50.000; Jornada completa

Descripción de la vacante

A tech company is seeking an Embedded AI/ML Software Engineer to work on automotive platforms with a focus on deploying AI frameworks. The role, which can be remote, requires experience in embedded C/C++ development and familiarity with machine learning frameworks. Candidates will optimize AI inference engines and interface with automotive-grade sensors.

Formación

• 3+ years in embedded C/C++ development.
• Familiarity with ML frameworks: TensorFlow Lite, ONNX, TVM.
• 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.
• Contribute to toolchains, data preprocessing, and model integration workflows.

Conocimientos

Embedded C/C++ development

AI inference engines deployment

Performance tuning (CPU, DSP, GPU)

Machine Learning frameworks (TensorFlow Lite, ONNX)

Experience with QNX, RTOS, or 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