Job Description

Job Brief:

We are seeking an Embedded Systems Engineer to join a fast-growing European deep-tech company specializing in quantum computing and artificial intelligence. This role is based in the company’s offices in San Sebastián or Barcelona and is offered as a 6-month fixed-term contract, with the possibility of renewal. The position follows a hybrid working model (3 days per week onsite and 2 days remote) and is open to candidates willing to relocate. You will work on cutting-edge technologies focused on optimizing and deploying AI models on constrained devices, collaborating with multidisciplinary teams in a highly innovative, international, and fast-paced environment.

Responsibilities:

• Design, develop, and optimize embedded systems and firmware for AI model deployment
• Adapt and compress machine learning models for efficient inference on resource-constrained hardware
• Implement and optimize inference pipelines using industry-standard frameworks
• Work closely with AI, hardware, and software teams to ensure end-to-end system performance
• Apply quantization and model compression techniques without compromising accuracy
• Optimize performance at system level, including memory usage and computation efficiency
• Contribute to testing, validation, and continuous integration processes
• Document technical solutions and collaborate effectively across teams

Requirements & Skills:

• Bachelor’s degree or higher in Computer Science, Electrical Engineering, Physics, or a related discipline (or equivalent professional experience)
• 2–5 years of professional experience in embedded systems, firmware development, or low-level/system programming
• Proven experience deploying and optimizing machine learning models on embedded or constrained devices
• Strong programming skills in Python, C, and/or C++
• Solid knowledge of model quantization and compression techniques
• Hands-on experience with inference optimization frameworks (e.g., TensorRT, ONNX Runtime, vLLM or similar)
• Familiarity with embedded hardware platforms, including ARM-based systems, mobile GPUs, and AI accelerators
• Strong understanding of computer architecture, memory management, and performance optimization
• Experience with Git, automated testing, and CI/CD pipelines
• Strong communication skills and ability to work in cross-functional teams

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