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Auto Embedded SW Intern

Qorvo -
Barcelona, Barcelona provincia

Solicitar ahora

Detalles del empleo

Jornada completa | Contrato en prácticas

Cualificaciones

TensorFlow
MATLAB
Doctorado
Informática
Git
Máster
C++
C
Grado
Machine learning
Embedded software
Simulink
OpenCV
ARM
Manufactura
Ingeniería eléctrica
Liderazgo
Python

Descripción completa del empleo

Auto Embedded SW Intern

Experience Level: Support

Job Type: Regular

Location: Barcelona, ES, 8034

Requisition ID: 9690

Qorvo (Nasdaq: QRVO) supplies innovative semiconductor solutions that make a better world possible. We combine product and technology leadership, systems-level expertise and global manufacturing scale to quickly solve our customers' most complex technical challenges. Qorvo serves multiple high-growth segments of large global markets, including consumer electronics, smart home/IoT, automotive, EVs, battery-powered appliances, network infrastructure, healthcare and aerospace/defense. Visit www.qorvo.com to learn how our innovative team is helping connect, protect and power our planet.

Qorvo’s Internship Program is designed for college students currently enrolled in an accredited Bachelor’s, Master’s, or PhD program. Qorvo offers real work experience, exposure to upper management, and the opportunity to pursue full-time opportunities, as available.

Qorvo’s Internship Program offers:

Challenging, skill-building assignments
Mentoring and coaching from industry experts
Launch & Learns and other learning opportunities
Collaborative team-based work environment
Networking and social events
Final presentation to business leaders

Qorvo’s Auto Embedded Software Internships are offered in our Connectivity and Sensors business group. Specific projects and responsibilities will be determined based on the business needs at the time of the internship assignment.

Responsibilities may include:

Develop, test and optimize embedded software modules for AI-based automative applications (e.g. perception, decision-making, sensor fusion).
Collaborate with cross-functional teams including hardware engineers, data scientists, and system architects.
Implement and validate machine learning models on embedded platforms (ARM Cortex or automotive-grade SoCs).
Assist in profiling and optimizing code for performance, memory usage, and power efficiency.
Support integration of AI algorithms into real-time automotive systems.
Document development processes, test results, and technical findings .

Qualifications:

Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics, or related field.
Strong programming skills in C/C++ and Python.
Familiarity with embedded systems development and real-time operating systems (RTOS).
Basic understanding of AI/ML concepts and frameworks (e.g. TensorFlow Lite, PyTorch Mobile).
Experience with version control systems (e.g. Git).
Good problem-solving skills and ability to work in a collaborative environment.

Preferred Qualifications:

Experience with automotive communication protocols (CAN, LIN, Ethernet).
Exposure to model deployment on edge devices or embedded AI accelerators.
Familiarity with tools like MATLAB/Simulink, ROS, or OpenCV

MAKE A DIFFERENCE AT QORVO

We are Qorvo. We do more than create innovative RF and Power solutions for the mobile, defense and infrastructure markets – we are a place to innovate and shape the future of wireless communications. It starts with our employees. As a unified global team, we bring a commitment to excellence, growth and a passion for creating what's next. Explore the possibilities with us.

We are an Equal Employment Opportunity (EEO) employer and welcome all qualified applicants. Applicants will receive fair and impartial consideration without regard to any characteristics protected by applicable law, including race, color, religion, sex (as defined by law), national origin, age, military or veteran status, genetic information, or disability.

Qorvo is an E-Verify Employer. For more information, please see the Right to Work and E-Verify Participation posters.

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