Embedded Software Engineer

JR Spain; La Coruña; A distancia; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A technology company is looking for an Embedded AI/ML Software Engineer to deploy AI frameworks on automotive platforms. The role includes optimizing AI inference engines and interfacing with sensor modules. Candidates should have over 3 years of experience in embedded C/C++ development, familiarity with ML frameworks, and experience with embedded platforms. This position offers remote work options with a full-time contract.

Formación

• 3+ years in embedded C/C++ development required.
• Familiarity with ML frameworks like TensorFlow Lite or ONNX is a must.
• Hands-on experience with embedded platforms like QNX or Linux.

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

Machine learning frameworks

Embedded platforms experience

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

Job Description:

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:

1. Deploy and optimize AI inference engines (e.g., ONNX, TFLite) for embedded targets
2. Interface with sensor and perception modules on automotive-grade SoCs
3. Tune performance across CPU, DSP, GPU, and neural accelerator units
4. Contribute to toolchains, data preprocessing, and model integration workflows

Requirements:

1. 3+ years in embedded C/C++ development
2. Familiarity with one or more ML frameworks: TensorFlow Lite, ONNX, TVM, etc.
3. Hands-on experience with QNX, RTOS, or Linux-based embedded platforms

Bonus:

Knowledge of automotive safety standards (ISO 26262), or AI runtime stacks