Embedded Software Engineer

TechTeamz; Pamplona; Presencial; EUR 35.000 - 55.000; Jornada completa

Descripción de la vacante

A tech company is looking for an Embedded AI / ML Software Engineer to work on automotive platforms in Spain. The role involves deploying AI/ML frameworks and optimizing performance of real-time systems. Applicants should have over 3 years of experience in embedded C/C++ development, familiarity with ML frameworks, and experience with relevant embedded platforms.

Formación

• Must have over 3 years experience in embedded C/C++ development.
• Hands-on experience with ML frameworks, especially TensorFlow Lite or ONNX.
• Experience in relevant embedded platforms is highly desired.

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.

Conocimientos

Over 3 years in embedded C/C++ development

Familiarity with ML frameworks (e.g., TensorFlow Lite, ONNX)

Experience with QNX, RTOS, or Linux-based embedded platforms

Knowledge of automotive safety standards (ISO 26262)

Descripción del empleo

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

Requirements :

• 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