Are you passionate about machine learning, video compression, and working on the cutting edge of technology? Qualcomm's Multimedia R&D and Standards Group is on the hunt for a Video Compression Research Engineer to join a world-class team of experts in this exciting field.
This position offers an incredible opportunity to work on groundbreaking advancements in video compression technologies, with a specific focus on machine learning. You’ll be contributing to some of the most innovative developments in video processing, AR/VR, computer vision, and point cloud coding applications. If you're driven by creativity, innovation, and collaboration, we want you to be a part of our dynamic team.
Preferred locations include: USA, Germany, and Taiwan, though we are open to remote applications.
What You’ll Do:
- Algorithm Development: Design, implement, and optimize Neural Network-based algorithms to improve video compression.
- Standardization Leadership: Represent Qualcomm at major video compression standardization forums like JVET, MPEG Video, and ITU-T/VCEG.
- Cutting-Edge Research: Contribute to papers, presentations, and patent applications, documenting new algorithms and methodologies in the field.
- Collaborate & Innovate: Work alongside a world-renowned team of experts to develop state-of-the-art video compression systems using machine learning.
- Tech Evangelism: Present your work at conferences, drive internal innovation, and provide thought leadership within the organization.
The Ideal Candidate Will Have:
- Strong background in AI/ML: Experience developing machine learning algorithms, especially in data compression or computer vision.
- Video Compression Expertise: Solid understanding of video/image coding algorithms and experience with standards like VVC/H.266 or HEVC/H.265.
- Research Accomplishments: A track record of success with published papers at leading conferences or successful patent applications.
- Programming Proficiency: Expertise in Python and C/C++, with knowledge of PyTorch or similar frameworks.
- Communication Skills: Strong written and verbal skills to clearly communicate complex ideas and results to diverse audiences.
Qualifications:
- PhD or Master’s degree in Electrical Engineering, Computer Science, Physics, Mathematics, or related fields.
- At least 1 year of experience working with C/C++, MATLAB, or similar languages.
- Experience with video compression technologies and machine learning applications in data compression.
Additional Requirements:
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field, and 4+ years of relevant work experience.
- OR a Master’s degree in Computer Science, Engineering, or related field, with 3+ years of experience.
- OR a PhD in a related field with at least 2 years of industry experience.
Compensation & Benefits:
- Salary Range: $158,400.00 - $237,600.00, depending on experience and location.
- Bonus Program: Competitive annual discretionary bonus program.
- RSU Grants: Opportunity for annual RSU grants.
- Comprehensive Benefits: Medical, dental, vision, retirement plan, wellness programs, and more.
Qualcomm’s benefits package is designed to support your success at work, at home, and at play, so you can thrive in all aspects of your life. Our flexible working environment, innovative spirit, and collaborative team culture make Qualcomm a great place to accelerate your career.
Why Qualcomm?
At Qualcomm, we’re on a mission to transform the multimedia and video compression landscape through cutting-edge AI technology. By joining our team, you’ll contribute to innovations that impact millions of people worldwide. You’ll work alongside the brightest minds in the industry and have the opportunity to make significant contributions to the future of multimedia technologies.
