Embedded AI for Automotive Systems Intern

Qorvo, Inc.; Barcelona; Presencial; EUR 12.000 - 18.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Mentoring

Launch & Learn

Networking events

Descripción de la vacante

Qorvo, Inc. is offering Auto Embedded Software Internship opportunities in its Connectivity and Sensors group in Barcelona.

Candidates will work on developing, testing, and optimizing embedded software modules for AI-based automotive applications, collaborating across hardware, data science, and systems teams. The role requires pursuing a Bachelor’s or Master’s degree in CS/EE/Robotics, strong C/C++ and Python skills, and familiarity with RTOS and embedded platforms.

Formación

• Pursuing a Bachelor’s or Master’s degree in CS, EE, Robotics or related field.
• Strong programming skills in C/C++ and Python.
• Familiarity with embedded systems development and RTOS.

Responsabilidades

• Develop, test and optimize embedded software modules for AI-based automotive applications.
• Collaborate with hardware engineers, data scientists and system architects.
• Implement and validate machine learning models on embedded platforms (ARM Cortex or SoCs).
• Profile and optimize code for performance, memory usage and power efficiency.
• Support integration of AI algorithms into real-time automotive systems.
• Document development processes, test results and findings.

Conocimientos

C/C++

Python

RTOS

Embedded systems

AI/ML basics

Git

Problem solving

Teamwork

Educación

Bachelor's or Master's in Computer Science / Electrical Engineering / Robotics

Herramientas

MATLAB/Simulink

ROS

OpenCV

Descripción del empleo

Qorvo, Inc. is offering Auto Embedded Software Internship opportunities in its Connectivity and Sensors group in Barcelona.

Candidates will work on developing, testing, and optimizing embedded software modules for AI-based automotive applications, collaborating across hardware, data science, and systems teams. The role requires pursuing a Bachelor’s or Master’s degree in CS/EE/Robotics, strong C/C++ and Python skills, and familiarity with RTOS and embedded platforms.