Embedded Software Engineer

JR Spain; Zaragoza; Presencial; EUR 40.000 - 65.000; Jornada completa

Descripción de la vacante

A leading automotive technology company is seeking an Embedded AI/ML Software Engineer. This role involves deploying AI frameworks on automotive platforms with responsibilities including performance tuning and interfacing with sensors. The ideal candidate should have 3+ years of experience in embedded C/C++ development, with familiarity in ML frameworks like TensorFlow Lite or ONNX. This position allows for flexible remote work options within Spain or Egypt.

Formación

• 3+ years in embedded C/C++ development.
• Familiarity with machine learning frameworks.
• Hands-on experience with 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 accelerators.

Conocimientos

Embedded C/C++ development

AI/ML frameworks knowledge

Performance tuning

Sensor and perception modules

Herramientas

TensorFlow Lite

ONNX

QNX

RTOS

Descripción del empleo

Social network you want to login/join with:

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