Edge Deployment Engineer - (Embedded Ai) - Hybrid

European Tech Recruit
Zaragoza, Spain
5 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence C++ (Programming Language) Continuous Integration Memory Management Firmware Python (Programming Language) Machine Learning Quantum Computing Graphics Processing Unit (GPU) Large Language Models Git Information Technology
+4 more
ONNX (Open Neural Network Exchange) Format TensorRT Software Version Control Programming Languages

Job description

Edge Deployment Engineer - (Embedded AI) - HybridPor favor, presente su candidatura sin demora si su perfil encaja bien con este puesto, debido al alto nivel de interés.A fantastic opportunity for a driven Edge Deployment Engineer to join a leading Quantum AI company, where you will work alongside world?leading experts in quantum computing and AI, developing solutions that deliver real?world impact for global clients.Fixed Term Contract until the end of June **, with hybrid working from sites in Zaragoza or Barcelona.Required QualificationsBachelor’s degree or higher in Computer Science, Electrical Engineering, Physics, or related field; or equivalent industry experience3-5 years of hands?on experience in embedded systems, firmware development, or systems programmingDemonstrated experience optimizing machine learning models for deployment on constrained devicesStrong proficiency in Python, C, or C++; experience with system?level programming languages is essentialSolid understanding of quantization techniques and model compression strategies; experience with inference optimization frameworks (TensorRT, ONNX Runtime, LLM, vLLM, or equivalent)Familiarity with embedded architectures: ARM processors, mobile GPUs, and AI acceleratorsStrong fundamentals in computer architecture, memory management, and performance optimizationExperience with version control (Git), testing frameworks, and CI/CD pipelinesExcellent communication and collaboration skills in cross?functional teamsBy applying to this role you understand that we may collect your personal data and store and process it on our systems.xqbhyrx For more information please see our Privacy Notice ( ).#J-***-LjbffrHay opciones de teletrabajo/trabajo desde casa disponibles para este puesto.

Requirements

Edge Deployment Engineer - (Embedded AI) - HybridPor favor, presente su candidatura sin demora si su perfil encaja bien con este puesto, debido al alto nivel de interés.A fantastic opportunity for a driven Edge Deployment Engineer to join a leading Quantum AI company, where you will work alongside world?leading experts in quantum computing and AI, developing solutions that deliver real?world impact for global clients.Fixed Term Contract until the end of June **, with hybrid working from sites in Zaragoza or Barcelona.Required QualificationsBachelor’s degree or higher in Computer Science, Electrical Engineering, Physics, or related field; or equivalent industry experience3-5 years of hands?on experience in embedded systems, firmware development, or systems programmingDemonstrated experience optimizing machine learning models for deployment on constrained devicesStrong proficiency in Python, C, or C++; experience with system?level programming languages is essentialSolid understanding of quantization techniques and model compression strategies; experience with inference optimization frameworks (TensorRT, ONNX Runtime, LLM, vLLM, or equivalent)Familiarity with embedded architectures: ARM processors, mobile GPUs, and AI acceleratorsStrong fundamentals in computer architecture, memory management, and performance optimizationExperience with version control (Git), testing frameworks, and CI/CD pipelinesExcellent communication and collaboration skills in cross?functional teamsBy applying to this role you understand that we may collect your personal data and store and process it on our systems.

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