Computer Vision Systems Engineer

1 Month ago • 2 Years +

Job Summary

Job Description

The Qualcomm Computer Vision Systems group is looking for a Computer Vision Systems Engineer. The role involves developing computer vision IP solutions for Qualcomm's Snapdragon platforms, including mobile, automotive, and VR/AR. Responsibilities include designing computer vision algorithms, architecture, and software implementation. Engineers will work on object detection, motion analysis, depth estimation, and 3D reconstruction. They will also be involved in DSP/GPU optimization, performance analysis, and customer support. The role requires collaborating with teams to commercialize technologies. The candidate will be expected to travel to APAC and other regions as required.
Must have:
  • Working knowledge of visual signal processing and machine learning
  • Strong analytical and mathematical skills
  • Proficiency in C/C++/Python or other programming languages
  • Working Knowledge of Embedded systems and architectures
  • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field
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 Andriod/IOS CV framework
  • Masters or Doctorate, Computer Science and/or Electrical Engineering

Job Details


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, 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.

 

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, computer vision and machine learning

  • Strong analytical and mathematical skills to develop new algorithms

  • Proficiency in C/C++/Python or other programming languages

  • Working Knowledge of Embedded systems and architectures

 

Preferred Skills

  • Work experience with VR/AR/ADAS systems design

  • Work experience in motion analysis, depth estimation is a plus

  • DSP/Neon/GPU optimization and multi-thread programming is a plus

  • Knowledge of open source or Andriod/IOS CV framework

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: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

    Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

    To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

    If you would like more information about this role, please contact Qualcomm Careers.

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    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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