Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
Qualcomm Germany GmbH
Job Area:
Interns Group, Interns Group > Interim Intern
General Summary:
Company
Qualcomm Auto Ltd Sweden Filial
Qualcomm CDMA Technologies GmbH
Location
Stochholm, Sweden
Munich, Germany
General Summary
Qualcomm's Multimedia R&D and Standards Group is seeking master’s degree student interns interested in machine learning, video compression, and processing technology. You will be part of world-renowned team of video compression and deep learning experts. The team develops algorithms, hardware architectures and systems for state-of-the-art applications of classical and machine learning methods in video compression, video processing, point cloud coding and processing, AR/VR and computer vision use cases. The successful candidate for this position will be a highly self-directed individual with strong creative and analytic skills and passion for machining learning, video compression, and processing technologies. You will work on, but not be limited to, developing new algorithms for video compression and processing as well as machine learning based end-to-end video coding solution.
Responsibilities
- Contribute to the conception, development, implementation, and optimization of new algorithms extending existing techniques and systems allowing improved video compression.
- Initiate ideas, design and implement algorithms for superior hardware encoder performance, including perceptually based bit allocation.
- Develop new algorithms improving video compression efficiency.
- Ideal candidate would have the skills/experience below:
- Knowledge of the theory, algorithms, and techniques used in video and image coding.
- Knowledge and experience in video compression standards, such as VVC, HEVC, H.264 and AV1.
- Experience with deep learning structures CNN, RNN, autoencoder etc. and frameworks like TensorFlow/PyTorch.
- Track record of successful research accomplishments demonstrated through published papers, and/or patent applications in the fields of machine learning, video coding, or video processing.
- Solid programming and debugging skills in C/C++.
- Strong written and verbal English communication skills, great work ethic and ability to work in a team environment to accomplish common goals.
- Pursuing master’s degree in the areas of video compression, video/image processing algorithms, computer vision, or machine learning.
- References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
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.
Key Skills
Ranked by relevanceReady to apply?
Join Qualcomm and take your career to the next level!
Application takes less than 5 minutes

