Visual Technology Project Engineer
3 days ago
General Summary:
We are seeking experienced system engineers for our cutting-edge efforts in areas related to image processing, video codec architecture/design and computer vision. Successful candidates will be part of a visual technology systems team that develops embedded camera and imaging solutions, image signal processor (ISP), visual analytics and video codec IPs as well as advanced algorithms for computer vision and image/video processing to address different Qualcomm businesses. Responsibilities: The job responsibilities may include a subset of the following:
- Overall engineering lead for the project responsible for on-time delivery of Visual technology IPs including architecture, systems design, hardware, software, documentation, and tools that meet power and performance KPIs along with product requirements and stability to enable the launch of products. Key traits
- Constant engagement
- Very high availability
- Prioritization
- Provides clarity
- Attention to detail and tracking of key issues
- Leadership by example
Minimum qualifications:
- Bachelor's degree in Science, Engineering, or related field.
- 8+ years experience in integrated chipset architecture, systems engineering, HW/SW design
- Strong knowledge of IP development life cycle from concept to commercialization
- Cross functional lead who can effectively work across the teams.
Preferred qualifications:
- Background in digital signal processing
- Background in image processing algorithms, color science and image signal processor pipelines, video codecs and video analytics is a plus.
Educational requirements:
Required: Bachelors in Computer science or Electrical & Computer Engineering
Preferred: Masters in Computer science or Electrical & Computer Engineering
Minimum Qualifications:
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience. ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience. ORPhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
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