Video DE Engineer

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Video Engineer, you will work on ideas that enhance our daily life - creating everlasting video memories and playback experiences, building innovative devices through human and computer vision technologies in the Mobile, Automotive, XR, IoT & Compute space.

You will have limitless opportunities to learn, grow, and lead the world of Video and Computer vision.

- Bachelor's degree in Computer or Electrical Engineering, Computer Science, or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.

Master's degree in Computer or Electrical Engineering, Computer Science, or related field and 3+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.

PhD in Computer or Electrical Engineering, Computer Science, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.

- Master's degree in Computer or Electrical Engineering, Computer Science, or related field.

- 4+ years of applicable video HW and/or Systems experience.

- 4+ years of experience with hardware system design, system integration, schematic capture, and circuit simulation software.

- 4+ years of experience with programming (e.g., C, C++, Python), computer architecture, or embedded systems.

- 3+ years of experience working in a large matrixed organization.

- 1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director level and above).

- 1+ year in a technical leadership role with or without direct reports.

* Leverages advanced video and computer vision engineering knowledge and experience, along with AI/ML hardware acceleration expertise, to research and develop complex video codec, computer vision, and AI/ML accelerator hardware solutions.

* microarchitecture, design, RTL implementation, and verification of highly complex video hardware systems, computer vision & SLAM algorithms, AI/ML accelerators, video encoder/decoder, video quality optimizations, and other feature enhancements.

* Performs highly complex architecture and standards analysis, including algorithm and feature decomposition, to drive requirements and detailed specifications for video, computer vision, and AI/ML accelerator hardware development.

* Ensures advanced key performance indicators (KPIs), overall system performance targets, and area/power efficiency metrics are met across all video, computer vision, and AI/ML accelerator components.

* Drives the triage of highly complex technical problems to determine root causes and implement effective resolutions.

* Facilitates collaboration across organizations (e.g., design and test teams) and engages with architects to analyze product requirements for new system architectures and hardware modules (video, computer vision, and AI/ML accelerators), or for modifications to existing designs across mobile, automotive, IoT, and other markets.

* Leads the design and integration of advanced video systems and AI/ML hardware accelerators, developing complex features and components aligned with technical proposals and product roadmaps for complex products.

* Writes detailed technical documentation and feature descriptions for highly complex projects to guide users and customers in implementing solutions; reviews and provides feedback on technical documents prepared by junior engineers.