Senior Staff Engineer - AI Systems Architect

2 Months ago • 4-12 Years • System Design

Job Summary

Job Description

The AI Systems Architect will be part of the Qualcomm AI Processor team and will be responsible for developing DSP and Machine Learning software applications for Qualcomm Snapdragon processors. The role involves modeling and analysis of cutting-edge algorithms in machine learning, computer vision, and video processing. The candidate will analyze and optimize custom processors, develop and train data-driven architecture models, and design, develop, and test advanced solutions for AI processors. The role requires working independently with minimal supervision, providing guidance to team members.
Must have:
  • Industry experience in image processing, computer vision.
  • Strong motivation and ability in learning new subjects.
  • Excellent understanding of image processing and computer vision.
  • Strong programming skills in C/C++, Python, OpenGL.
  • Strong multithreading, and OS concepts.
  • Collaborate with cross-functional teams for ML software applications.
  • Knowledge of data-driven modelling.
  • Knowledge of computer and hardware architecture.
  • Effective interpersonal communications skill.
Good to have:
  • Advanced understanding of machine learning, computer vision.
  • Advanced understanding of computer architecture.
  • Advanced understanding of data-driven modelling.
  • Proficient in OOP principles.
  • Knowledge of GPU Programming / Architecture is a bonus.

Job Details


Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Systems Engineering

General Summary:

Do you ever wonder when will connected devices become thinking devices? Be part of the group that is working on technology that will bring “Cognition” to all connected devices: That means devices that don’t just think but instinctively react to their surroundings.

We are searching for an AI Systems Architect to be part of the Qualcomm AI Processor team responsible for developing DSP and Machine Learning software applications and use cases developed for Qualcomm Snapdragon processors. The candidate will work on modelling and analysis of new cutting-edge algorithms in the areas of machine learning, computer vision and video processing that bring artificial intelligence to mobile and edge devices.

Minimum Qualifications:

Experienced candidates (8-12 years) are welcome to apply.

  • Industry experience in image processing, computer vision, machine learning and video domain.
  • Strong motivation and ability in learning new subjects especially in the field of artificial intelligence
  • Excellent understanding of image processing and computer vision fundamentals.
  • Strong programming skills in C\C++, Python, OpenGL
  • Strong multithreading, and OS concepts\fundamentals.
  • Collaborate with cross-functional teams to design, implement, and debug machine learning software applications
  • Knowledge of data-driven modelling
  • Knowledge of computer and hardware architecture
  • Effective interpersonal communications skill (written and verbal).
  • Analytical, thorough, resourceful, and detail-oriented
  • Self-motivated, hardworking, and flexible

Preferred Qualifications:

  • Advanced understanding of machine learning, computer vision, and digital image processing algorithms and applications
  • Advanced understanding of computer architecture
  • Advanced understanding of data-driven modelling
  • Proficient in OOP principles
  • Knowledge of GPU Programming / Architecture is a bonus
  • Ability to work effectively as part of a global team

Responsibilities:

The successful candidate(s) will be responsible for:

  • Leverage advanced computer architecture knowledge for analyzing and optimizing custom processors/accelerators
  • Develop and train data-driven architecture models, correlating these models, and performing system-level architecture analysis.
  • Design, develop and test advanced solutions for AI processors.
  • Work independently with minimal supervision
  • Provide guidance/supervision to team members

Education requirements:

  • Required: Master’s Computer Engineering and/or Electrical / Electronic Engineering
  • Preferred: PhD in Computer Engineering and/or Electrical / Electronic Engineering (focus on Image processing, Computer vision, Machine learning)

Minimum Qualifications:

•    Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.

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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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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