Computer Vision Systems Engineer, up to Sr.

Company:

Job Area:

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
• 60%-80% 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:

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.

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