Computer Vision Systems Engineer, up to Sr.

1 Week ago • 2 Years + • System Design

Job Summary

Job Description

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, architecture design and software implementation for CV solutions with power and performance optimization. We seek Systems Engineers with demonstrable knowledge and hands-on experience in one or more of the following areas: research and develop computer vision algorithms, define systems architecture, design and implement simulators, optimize DSP/GPU algorithms, define performance/power analysis methodology, and collaborate with teams for commercialization and customer support.
Must have:
  • Research and develop computer vision algorithms (object detection, motion analysis, depth estimation, 3D reconstruction).
  • Define systems architecture for computer vision solutions.
  • Design and implement simulator for computer vision functions.
  • Work on DSP or GPU optimization of computer vision algorithms.
  • Define methodology for performance and power analysis.
  • Collaborate with other teams to commercialize technologies and provide customer support.
  • Working knowledge of visual signal processing, computer vision, machine learning.
  • Strong analytical and mathematical skills for algorithm development.
  • Proficiency in C/C++/Python or other programming languages.
  • Working Knowledge of Embedded systems and architectures.
Good to have:
  • Work experience with VR/AR/ADAS systems design
  • Work experience in motion analysis, depth estimation
  • DSP/Neon/GPU optimization and multi-thread programming
  • Knowledge of open source or Android/IOS CV framework
Perks:
  • World-class health benefit option providing world-class coverage to employees and their eligible dependents.
  • Programs designed to help employees build and prepare for a financially secure future.
  • Self and family resources to build emotional/mental strength and resilience, as well as define your purpose — in life and at work.
  • Qualcomm’s wellbeing programs and resources offer support to help employees Live+Well and Work+Well.
  • Continuous learning and development programs
  • Tuition reimbursement
  • Mentorships

Job Details

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, architecture design and software implementation for CV solutions with power and performance optimization.

We seek Systems Engineers with demonstrable knowledge and hands-on experience in one or more of the following areas:

  • Research and develop a broad range of computer vision algorithms including object detection, motion analysis, depth estimation, 3D reconstruction etc. with performance and power efficiency
  • Define systems architecture for computer vision solutions including data flow, task partition, user interface and systems interoperation
  • Design and implement simulator for computer vision functions to be used for algorithm evaluation, hardware verification, and customer training
  • Work on DSP or GPU optimization of computer vision algorithms
  • 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
  • Available for business travel across APAC and other regions as required.

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About The Company

Our employees make Qualcomm’s success possible. We hire the brightest minds and foster a supportive, inclusive culture where your ideas have the power to contribute to world-changing innovations and breakthrough technologies. To make that possible, we leverage the breadth and depth of our diverse expertise from around the world to answer the unasked, conquer the complex, and solve some of the biggest challenges only we can – together.

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