Data Compression Research Engineer, Sr.

Qualcomm's Multimedia R&D and Standards Group is seeking a Senior Data Compression Research Engineer to join their world-renowned team of experts. This role focuses on developing cutting-edge compression algorithms for neural network and multimedia systems. The position involves working with state-of-the-art real-time ultra-low latency hardware data compression codecs and collaborating with hardware and software SOC teams.

The ideal candidate will be a highly self-directed individual with strong creative and analytic skills, and a passion for machine learning and compression technologies. You'll be working alongside leading engineering and technology experts in the industry, contributing to world-changing innovations and breakthrough technologies.

Key responsibilities include developing and optimizing new compression algorithms, managing trade-offs between compression performance and hardware complexity, and participating in the design of next-generation Snapdragon solutions. You'll collaborate with global technology teams to understand compression needs and define codec tool requirements.

The role requires a PhD or Masters degree in relevant fields and at least 1 year of programming experience. Candidates should have a strong background in digital signal processing, image/video processing, or information theory, along with knowledge of computer architecture and hardware design. A track record of innovation through publications or patents is highly valued.

Qualcomm offers comprehensive benefits including world-class health coverage, financial planning support, wellbeing programs, and continuous learning opportunities. The company fosters a supportive, inclusive culture where ideas have the power to contribute to world-changing innovations. Join a team that's pushing the boundaries of technology and helping shape the future of digital transformation.