Principal Engineer, Machine Learning Group

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 and 8+ years of Software Engineering or related work experience.

OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Software Engineering or related work experience.

OR
PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience.

4+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

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 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 Orchestrator SDK and associated tools, specifically targeting various platforms on Snapdragon.

All Qualcomm employees are expected to actively support diversity in their teams, and in the Company.

Responsibilities

As the AI software Orchestration lead, you will be hands-on and leading the team responsible for integrating our AI SDK into Snapdragon based products.

Drive feature development and enhancements needed in the SDK for various platforms.

Work closely with the rest of the AI software team and with other internal sub-teams within Qualcomm involved in supporting Orchestrator SDK.

Participate in strategic planning for integrating the AI Orchestrator SDK across different platforms

Work independently with minimal supervision. Provides supervision/guidance to other team members. Decision-making is significant in nature and affects work beyond immediate work group.

Minimum Qualifications

Ability to work independently with no supervision

Ability to lead a software team and collaborate to get work done

Strong communication skills (verbal and written) and an ability to convey complex and detailed information to multiple audiences and high-level stake holders

Ability to make decisions and construct plans with minimal, conflicting, and sometimes missing information

15+ years of industry experience

5+ years software development experience on Android/Linux platform and architecture

Experience with Android/Linux application development (e.g. integrating applications into the Android/Linux stack)

Software development experience using C/C++

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

Preferred Qualifications

Experience with LLM, LVM, LMM models, ONNX RT and different NN architectures.

Linux/Android software development

Experience with VectorDB, Faiss, SQLite, MongoDB, NoSQL

Software development experience with Python/Java is a plus

Ability to collaborate across a globally diverse team and multiple interests

Education Requirements

Required:Bachelors degree in engineering, Information Systems, Computer Science, or related field.

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


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