Embedded Software Engineer

JR Spain; Córdoba; Presencial; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

A leading automotive technology firm is seeking an Embedded AI/ML Software Engineer to join their fast-paced team. This role focuses on deploying and optimizing AI inference engines for automotive platforms. Candidates should have over 3 years of experience in embedded C/C++ development and familiarity with ML frameworks. The position is remote, with optional hybrid work available.

Formación

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

Responsabilidades

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

Conocimientos

Embedded C/C++ development

AI/ML frameworks (e.g., TensorFlow Lite)

Performance tuning (CPU, DSP, GPU)

Sensor and perception modules

Herramientas

QNX

RTOS

Linux

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