Intern - Customer Engineering (São Paulo)

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Qualcomm Overview:

Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in.

General Summary:

General Summary:

Before there were smartphones or smart cities, before autonomous cars or 360 virtual reality videos, there was our technology. Headquartered in San Diego, for over 30 years Qualcomm’s inventions have inspired others to make the impossible, possible. From 5G to artificial intelligence, IoT to automotive and extended reality applications, Qualcomm is inventing the technologies of an intelligently connected future, spearheading research efforts for the next global wireless standard, and collaborating with industry leaders in the wireless value chain to make this future a commercial reality. You’re bringing skills. We’ll provide the environment and the experience to push your limitless potential.

As a Machine Learning/AI Engineering Intern you will be involved and participate in building best-in-class solutions and tools needed to enable state-of-the-art technologies for next generation mobile/embedded machine learning platforms for smart phones, computing, robotics and IOT devices. In this role, you will work in a dynamic environment, be part of a multi-disciplinary team, collaborate with internal teams, work with popular neural network frameworks, and understand the architecture of Qualcomm’s SOC and ML HW accelerators. You will create applications using machine learning tools and frameworks that enable making models smaller and run efficiently on all edge devices.

Minimum Qualifications

• Currently enrolled in a bachelor’s degree program in computer engineering, computer science, electrical engineering, or a related field.

• 1+ years’ experience with programming language such as C, C++, Python. 

• Familiar with embedded systems - exposure to one or more of Linux, Yocto, Ubuntu based systems.

• Proficiency in English.

Preferred Qualifications

• Strong communication and interpersonal skills, high motivation, the ability to learn quickly and must be a self-starter.

• Proficiency in deep learning and machine learning frameworks like TensorFlow, TFLite, PyTorch and Onnx Runtime.

• Theoretical knowledge of machine learning, deep learning, model compression, quantization, and optimization.

• Have knowledge in Qualcomm SNPE/QNN SDK is a plus.

• Have knowledge in on-device AI models deployment is a plus.

• Experience with reinforcement learning, neural architecture search, kernel optimization, and Bayesian optimization.

• Skills in neural network programming, video/image processing, and application development.

• Proficiency in machine learning data pipelines, data management, and both backend and frontend applications.

Education

• Currently enrolled in a bachelor’s degree program in computer engineering, computer science, electrical engineering, or a related field. 6th-7th semester preferred.

Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail myhr.support@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

If you would like more information about this role, please contact Qualcomm Careers.