Engineer - AI Orchestration

1 Month ago • 1 Years +

Job Summary

Job Description

As a Machine Learning Engineer at Qualcomm, you will develop and implement machine learning techniques, frameworks, and tools for efficient utilization of state-of-the-art machine learning solutions across various technology verticals. You will be involved in the software design and development of the Qualcomm AI Stack, SDKs, and associated tools for Snapdragon platforms. Responsibilities include developing the AI orchestration framework, engine, and tools for agentic workflows and the execution of Neural Networks on Snapdragon chips, along with validating the performance and accuracy of the software through detailed analysis and testing. This role requires collaboration within a globally diverse team to meet project requirements.
Must have:
  • 1+ years software development experience using C/C++ and/or Python
  • Strong software development skills (e.g. data structure and algorithm design, object oriented or other software design paradigm knowledge, software debugging and testing, etc.)
  • Strong communication skills (verbal, presentation, written)
Good to have:
  • Experience in developing embedded applications with low level interactions between operating systems (e.g., Linux, Android, Windows, QNX) and Hardware.
  • Experience using/integrating Qualcomm AI Stack products (e.g. QNN, SNPE, QAIRT)
  • Experience with LLM, LVM, LMM models, and other NN architectures.
  • Experience with Machine Learning frameworks (e.g., Tensor Flow, Pytorch, Keras).
  • Software development experience with Java
  • Ability to collaborate across a globally diverse team and multiple interests

Job Details


Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Software Engineering

General Summary:

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces.

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

General Summary

As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs.

In this position you will be responsible for assisting with the software design and development of the Qualcomm AI Stack, SDKs and associated tools, targeting Snapdragon platforms. You will have the opportunity to show your passion for software design and development with your analytical, design, programming, and debugging skills.

Responsibilities

· Software development of the AI orchestration framework, engine, and tools to develop agentic workflows and execution of the latest Neural Networks on Snapdragon chips.

· Validate the performance and accuracy of your software through detailed analysis and test of the use cases.

Minimum Qualifications

· 1+ years software development experience using C/C++ and/or Python

· Strong software development skills (e.g. data structure and algorithm design, object oriented or other software design paradigm knowledge, software debugging and testing, etc.)

· Strong communication skills (verbal, presentation, written)

Preferred Qualifications

· Experience in developing embedded applications with low level interactions between operating systems (e.g., Linux, Android, Windows, QNX) and Hardware.

· Experience using/integrating Qualcomm AI Stack products (e.g. QNN, SNPE, QAIRT)

· Experience with LLM, LVM, LMM models, and other NN architectures.

· Experience with Machine Learning frameworks (e.g., Tensor Flow, Pytorch, Keras).

· Software development experience with Java

· Ability to collaborate across a globally diverse team and multiple interests

Education Requirements

Required: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

Preferred: Bachelor's Computer Science, Computer Engineering, or Electrical Engineering

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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