Embedded Software Engineer

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

Descripción de la vacante

A leading tech company is looking for an Embedded AI/ML Software Engineer to develop real-time systems in automotive platforms. The role involves deploying and optimizing AI inference engines, interfacing with sensor modules, and tuning performance on embedded systems. Candidates should have over 3 years of experience in embedded C/C++ development and familiarity with ML frameworks. This position can be remote within Spain or Egypt.

Formación

• 3+ years of experience in embedded C/C++ development.
• Familiarity with ML frameworks like TensorFlow Lite or ONNX.
• Experience with QNX, RTOS, or Linux-based embedded systems.

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

ML frameworks (TensorFlow Lite, ONNX)

Performance tuning (CPU, DSP, GPU)

Herramientas

QNX

RTOS

Linux-based embedded platforms

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 computeWe’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 targetsInterface with sensor and perception modules on automotive-grade SoCsTune performance across CPU, DSP, GPU, and neural accelerator unitsContribute to toolchains, data preprocessing, and model integration workflows Requirements:3+ years in embedded C/C++ developmentFamiliarity with one or more ML frameworks: TensorFlow Lite, ONNX, TVM, etc.Hands-on experience with QNX, RTOS, or Linux-based embedded platformsBonus: knowledge of automotive safety standards (ISO 26262), or AI runtime stacks