Lead Embedded Software Engineer (Multimedia frameworks/V4L2/OpenGL/Camera HAL)eer

General Summary:

Do you ever wonder when connected devices will become thinking devices? Be part of the group that is working on technology that will bring “Cognition” to all connected devices: That means devices that don’t just think but instinctively react to their surroundings.

We are searching for an AI and DSP Applications Software Engineer to be a part of the AI Processor Solutions team that is responsible for developing machine learning based applications and use cases developed for Qualcomm Snapdragon processors. The candidate will work on new cutting-edge hardware accelerators in the areas of artificial intelligence, machine learning, computer vision and video processing and contribute to research and development of new applications that bring artificial intelligence to mobile and edge devices.

Responsibilities include working with the team on software development, integration, test, and support of these applications for the Qualcomm Snapdragon AI Processor. Focusing on frameworks that support AI processing for video playback, gaming, camera, and other multimedia use cases, the candidate should be able to work with multiple teams to determine and understand requirements and resolve technical issues. The candidate will also be responsible for supporting customers (internal as well as external).

The candidate should be able to read abstract problem definitions, define problem statements, design and ensure that goals of our end users and technology are met. The candidate is expected to follow and demonstrate strong software development practices and processes.

​ Key Responsibilities

Read abstract problem definitions, define problem statements, design and ensure that goals of our end users and technology are met.

Work with multiple teams to determine and understand requirements and implement resolutions to technical issues.

Lead and mentor junior members in the team. Guide them periodically on project goals and deliverables.

Design and develop processing frameworks running on Android, Linux, and other High Level Operating Systems as well as on embedded, real-time AI Processors.

Test and validate solutions for quality, performance, and power