Company
Qualcomm Semiconductor Limited
Job Area
Engineering Group, Engineering Group > Systems Engineering
General Summary
Qualcomm Computer Vision Systems group develops computer vision IP solutions for all of Qualcomm's Snapdragon platforms including mobile, automotive, VR/AR.
The team's scope includes computer vision algorithm and software implementation for CV solutions with power and performance optimization.
We are seeking
Systems Engineers
with strong technical expertise and hands-on experience in computer vision and embedded systems.
Responsibilities Include The Following
- Design systems architecture for computer vision solutions including data flow, task partition, systems interoperation, algorithm evaluation, test plan, quality closure, and customer training
- Define methodology for performance and power analysis and develop innovative technologies to reduce memory bandwidth, processing latency, power consumption
- Collaborate with other teams to commercialize the technologies and provide strong customer support to enable the best visual analytics experiences
- Work on DSP or GPU optimization of computer vision algorithms
- 50%–70% workload for customer support; 20% onsite availability for business travel across APAC and China.
Qualifications
- Required: Bachelors in, Computer Science and/or Electrical Engineering
- Preferred: Masters or Doctorate, Computer Science, and/or Electrical Engineering
Minimum Skills
- Working knowledge of visual signal processing, and computer vision
- Strong analytical and mathematical skills to develop new computer vision algorithms
- Proficiency in C/C++/Python or other programming languages
- Experience with OpenCV library
- Strong communication skills
- Working Knowledge of Embedded systems and architectures
Preferred Skills
- Experience in mobile camera industry is a plus
- Work experience in motion analysis, depth estimation is a plus
- DSP/Neon/GPU optimization and multi-thread programming is a plus
Minimum Qualifications
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field.
Applicants
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