高通
Artificial Intelligence for Video Compression - Research Scientist
Artificial Intelligence for Video Compression - Research Scientist
发布于 大约 12 小时前普通员工/个人贡献者
Hsinchu City, Hsinchu City, Taiwan
中级经验
全职员工
混合式弹性办公
硕士
PyTorch
Machine Learning
Neural Networks
Vvc/H.266
Hevc/H.265
AI 估算 · 95k–142k
Senior research scientist at Qualcomm with AI/ML focus, high market demand for video compression expertise, competitive salary r
职位详情
关于这个职位
This role involves developing innovative AI/ML algorithms for video compression, working with a world-renowned team at Qualcomm. You will contribute to the conception, implementation, and optimization of neural network-based video compression algorithms, and represent Qualcomm in standardization forums like JVET and MPEG. The position offers flexibility in location and the chance to impact next-generation video coding technologies.
最低要求
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
工作职责
Contribute to the conception, development, implementation, and optimization of new Neural Networks based algorithms allowing improved video compression.
Represent Qualcomm in the related standardization forums: JVET, MPEG Video, and ITU-T/VCEG.
Document and present new algorithms and implementations in various forms, including standards contributions, patent applications, conference papers and presentations, and journal publications, etc.
优先资格
Developed innovative artificial intelligence/machine learning algorithms preferably related to data compression or computer vision.
Knowledge of the theory, algorithms, and techniques used in video and image coding.
Experience in video compression standards, such as VVC/H.266 or HEVC/H.265, is a significant benefit.
Track record of successful research accomplishments demonstrated through published papers at leading conferences, and/or patent applications.
Excellent programming skills including Python and C/C++ combined with knowledge of at least one machine learning framework such as PyTorch.
Strong written and verbal English communication skills, great work ethic, and ability to work in a team environment to accomplish common goals.
AI 洞察
优缺点分析
优点
- Work at a world-leading semiconductor company with cutting-edge AI/video technology.
- Flexible location and remote work options, with top-tier compensation and benefits.
- Opportunity to contribute to industry standards and see real-world impact.
- Collaboration with a world-class team of experts in video compression.
- Requires deep expertise in both AI and video compression, a niche combination.
- Standardization work can be slow and requires strong communication and negotiation skills.
- High expectations for research output (papers, patents, contributions).
- Ideal for a research-oriented engineer with a passion for video coding and AI, who thrives in a collaborative, intellectually challenging environment and wants to shape the future of video technology.
缺点 / 挑战
暂无明显挑战项
角色解读
- Progress to principal scientist or technical lead within Qualcomm's multimedia research team.
- Opportunity to influence global video compression standards and shape future technologies.
- Potential transition to management of research groups or cross-functional teams.
- Design and implement neural network-based algorithms to improve video compression efficiency.
- Participate in international standardization efforts (JVET, MPEG) representing Qualcomm.
- Conduct research and publish papers/patents on novel video coding techniques.
- Strong background in AI/ML, particularly deep learning for data compression or computer vision.
- Deep understanding of video compression theory and standards (VVC, HEVC).
- Proficiency in Python, C/C++, and PyTorch or similar frameworks.
- Excellent research track record with publications and/or patents.
申请策略
- Tailor your CV to reflect both AI and video compression expertise, as the role bridges both fields.
- Prepare a brief research statement showing your interest in video compression and how your work aligns with Qualcomm's roadmap.
- Emphasize publications in top venues (e.g., CVPR, ICIP, ICME) and patent applications related to video compression or machine learning.
- Showcase specific projects implementing neural network-based video coding or image compression algorithms.
- Highlight contributions to standards (JVET, MPEG) if any, or relevant open-source projects (e.g., VVC Test Model).
- Demonstrate strong programming skills in Python and C/C++ with examples of complex systems.
- Strengthen knowledge of latest video coding standards (VVC/H.266) and machine learning architectures (e.g., transformers, GANs).
- Practice coding neural network training pipelines in PyTorch, especially for video data.
面试指南
- Use STAR method (Situation, Task, Action, Result) for behavioral questions.
- For technical questions, start with fundamental concepts, then describe your approach or solution with concrete examples.
- Show enthusiasm and curiosity about the field
- mention recent papers or standards contributions you find interesting.
- Describe your experience with neural network-based video compression. What specific architectures have you used?
- How would you approach improving the rate-distortion performance of a learned video codec?
- Explain the main differences between HEVC and VVC standards. What are the key coding tools?
- Tell us about a research project where you had to overcome a significant technical challenge.
匹配度报告
82
综合匹配度
Top-tier research role in AI video compression at Qualcomm, offering high compensation, cutting-edge work, and flexible location.
适合人群
Best for candidates driven by technical growth, innovation, and competitive compensation, who are comfortable with research intensity and flexible work arrangements.
最强匹配
成长发展匹配
最弱匹配
使命价值匹配
薪资福利85
成长发展90
工作生活80
使命价值75
薪资福利匹配
85较高
The disclosed salary range is highly competitive for the field, and Qualcomm offers strong benefits including bonus and RSU grants, making this role attractive for compensation-focused candidates.
薪资信号市场水准 (95K-142K/月)
福利待遇annual discretionary bonus、annual RSU grants、highly competitive benefits package
成长发展匹配
90较高
The role is at the forefront of AI and video compression technology, offering opportunities to work on cutting-edge research, publish papers, and contribute to international standards, providing excellent career growth.
技术前沿前沿/新兴技术
技术栈Neural Networks、Video Compression、VVC/H.266、HEVC/H.265、PyTorch、Computer Vision
成长机会patent applications、conference papers、standards contributions
业务类型ambiguous
工作生活匹配
80较高
Flexible location and remote work options are explicitly mentioned, but preferred locations suggest some expectation of presence, balancing work-life flexibility.
工作模式混合式弹性办公
办公地点未明确
加班情况未提及（无法判断）
使命价值匹配
75中等
Advancing video compression technology has significant societal impact (e.g., bandwidth saving, better streaming), but the role is more technically focused with indirect social benefit.
行业发展高速增长赛道
社会影响中性/一般
创新程度开拓性创新（行业首创）
Watch Jobs