Sr. Staff Software Engineer, AI Software IOT

Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > Machine Learning 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 AI Software 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.  

In this position you will be responsible for assisting with the software design and development of the Qualcomm AI Stack within the Qualcomm AI Runtime (QAIRT) SDK, focused on IOT domain. You will contribute to the efficient execution of advanced deep neural networks (DNNs), large language models (LLMs), and other modern AI architectures.  

You will have the opportunity to demonstrate your passion for software design and development through your analytical, design, programming, and debugging skills. In this role you will lead feature development, provide guidance to junior team members, and make decisions impacting your direct area and the broader work group. You will collaborate with cross-functional teams to deliver robust, scalable AI software solutions, and contribute to a culture of technical excellence, knowledge sharing, and continuous improvement within the AI Software team. 

Minimum Qualifications:

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

Responsibilities 

• As the AI software lead, you will be hands-on and leading the team responsible for ensuring AI SDK support for a variety of IOT product platforms. 

• Drive feature development and enhancements needed in the Qualcomm AI Stack SDKs for IOT products. 

• You will work closely with the rest of the AI software team and with other teams within Qualcomm involved in supporting IOT platforms. 

• Decision-making is significant in nature and affects work beyond the immediate work group. You will provide supervision/guidance to other team members, and you will participate in strategic planning for integrating the Qualcomm AI Stack SDKs into IOT products. 

• You will also have to keep up with the fast-paced development happening in industry and academia to continuously enhance our solution from a software engineering as well as a machine learning standpoint. 

Minimum Qualifications  

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

• 8+ years of industry and general software development experience 

• Proficiency in software development using C/C++ 

• Experience with Linux or Unix based OS systems software development environment 

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

• Ability to work independently with no supervision 

• Ability to lead a software team and effectively collaborate with cross-functional teams to deliver robust, scalable AI software solutions 

• Excellent communication skills (verbal, presentation, written).  

• Ability to convey complex and detailed information to multiple audiences and high-level stake holders 

• Ability to make decisions and construct plans with incomplete information 

Preferred Qualifications 

• Master’s Computer Science, Computer Engineering, or Electrical Engineering 

• Software development experience with Python 

• Experience with Windows software development environment 

• Experience building embedded software applications 

• Experience debugging complex problems across multiple layers of hardware, OS, compiler, and drivers 

• Experience with different Neural Network architectures: DNNs, CNNs, RNNs/L