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Action Camera AWB/AEC algorithm System Engineer, Senior
Action Camera AWB/AEC algorithm System Engineer, Senior
发布于 大约 2 个月前普通员工/个人贡献者
Taipei, Taipei City, Taiwan
高级经验
全职员工
仅现场办公
本科
研究与开发 (研发)
Aec
Image Quality
AWB
MATLAB
Snapdragon Isp
AI 估算 · 25k–40k
Based on senior level and industry standards at Qualcomm, with strong demand for camera algorithm engineers.
职位详情
关于这个职位
This role focuses on developing and optimizing AWB/AEC algorithms for Qualcomm's Action Camera platforms. You will work on image quality tuning, design evaluation systems, and support product commercialization across APAC.
最低要求
(1) Bachelor’s or Master’s degree in Computer Engineering, Computer Science, Electrical Engineering, or a related discipline, with at least 3 years of experience in software engineering, systems engineering, or a comparable role.
(2) Hands-on experience with AEC/AWB, color science and theory, and related image processing algorithms is required.
(3) Solid understanding of camera systems and image quality evaluation metrics.
(4) Proficiency in C/C++, Python, and MATLAB for research and development activities.
(5) Strong analytical thinking skills with a proven ability to solve complex technical problems.
工作职责
(1) Design, develop, and validate innovative solutions for next-generation camera systems.
(2) Optimize and debug solutions within complex camera architectures to meet demanding performance requirements and specifications.
(3) Demonstrate the ability to take ideas from initial concept through development and into commercial deployment.
(4) Test and verify features collaboratively, working closely with cross-functional teams to ensure successful integration.
(5) Support product commercialization and ensure image quality targets are met; occasional business travel or collaboration across different time zones may be required.
(6) 60%–80% workload for customer support; 20% onsite availability for business travel across APAC and China.
优先资格
(1) Familiarity with both objective and subjective image quality assessment methodologies.
(2) Experience with Snapdragon 2A and ISP is a plus.
(3) Background in image processing algorithms, image sensor characteristics, and optical system design.
(4) Background in computer vision, machine learning, sensor and color calibration, and Android development is a strong plus.
AI 洞察
优缺点分析
优点
- Work on cutting-edge camera technology in a top semiconductor company.
- Strong skill development in image processing and algorithm optimization.
- Global collaboration and exposure to commercial deployment.
- High customer support workload (60-80%) may reduce R&D focus.
- Frequent travel across APAC could impact work-life balance.
- Requires deep domain expertise and fast problem-solving.
- Engineers passionate about camera systems and image quality, with strong algorithm skills and willingness to handle customer-facing tasks.
缺点 / 挑战
暂无明显挑战项
角色解读
- Progress to lead algorithm architect or principal engineer.
- Transition into imaging system architect or team lead.
- Opportunity to work on next-gen camera technologies and AI-based imaging.
- Develop and tune AWB/AEC algorithms for mobile camera systems.
- Design image quality evaluation systems and metrics.
- Collaborate with cross-functional teams for integration and commercialization.
- Deep understanding of color science, AEC/AWB, and image processing.
- Proficiency in C/C++, Python, and MATLAB.
- Knowledge of camera architectures and image quality metrics.
申请策略
- Be prepared to discuss algorithm tuning and debugging in detail.
- Emphasize cross-functional collaboration and willingness to travel.
- Highlight hands-on experience with AWB/AEC and color science projects.
- Showcase C/C++, Python, and MATLAB proficiency with concrete examples.
- Include any work with ISP, camera modules, or image quality evaluation.
- Strengthen understanding of image sensor characteristics and optical design.
- Familiarize with Snapdragon 2A and ISP if possible.
面试指南
- Use structured problem-solving: define metrics, propose algorithms, test with datasets.
- Show systematic debugging: hypothesis, experiment, validate.
- Reference real project examples to demonstrate depth.
- How would you tune AWB to handle mixed lighting conditions?
- Explain the trade-off between AEC and noise in low-light scenarios.
- Describe a complex image quality issue you resolved and your approach.
- How do you evaluate image quality objectively and subjectively?
- Review fundamentals of color science and camera pipelines.
职位点评
66
综合评分
High technical growth but intense customer support and travel requirement.
更适合这类人
This role is best for engineers who prioritize technical growth and are willing to accept a demanding work schedule with frequent travel.
表现最好
成长发展
相对薄弱
工作生活
薪资福利75
成长发展80
工作生活40
使命价值70
薪资福利
75中等
Competitive salary and benefits from a top-tier company, though customer support workload may reduce overtime pay satisfaction.
薪资信号市场水准 (25K-40K/月)
成长发展
80较高
Strong technical growth in imaging algorithms and system design, with exposure to commercial deployment and cross-functional collaboration.
技术前沿前沿/新兴技术
技术栈AWB、AEC、HDR、color science、image processing、Snapdragon ISP
业务类型profit_center
工作生活
40较低
Onsite work with frequent business travel (20%) and 60-80% customer support load, impacting work-life balance.
工作模式仅现场办公
办公地点科技园/产业园
加班情况JD含高强度暗示词
使命价值
70中等
Contributing to cutting-edge camera technology in mobile devices, with high social impact through improved imaging quality.
行业发展高速增长赛道
社会影响中性/一般
创新程度积极采用新技术
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