Senior Software Engineer, Core AI Software; Onsite

Position: Staff & Senior Staff Software Engineer, Core AI Software (Onsite)
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 drive digital transformation, creating a smarter, connected future for all. As a Qualcomm AI Software Engineer, you will develop and implement cutting-edge machine learning techniques that enable the efficient utilization of state-of-the-art solutions across various technology  this position, you will be responsible for leading software design and development of the Qualcomm AI Stack features within Qualcomm AI Runtime (QAIRT) SDK, specifically Core software including Generative AI Inference Extensions (Genie).

You will contribute to the efficient execution of advanced deep neural networks (DNNs), large language models (LLMs), and other modern AI architectures. You will also be responsible for supporting AI stack that optimizes runtime efficiency, latency and power consumption of AI applications running Machine Learning workloads on Qualcomm’s low-power AI accelerators.

You will have the opportunity to demonstrate your passion for software design and development through your analytical, design, programming, and debugging skills.

Minimum Qualifications:

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

ORMaster's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

ORPhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Responsibilities Develop software for the Qualcomm AI Stack SDKs , specifically QAIRT and Genie, to support the execution of the latest generative AI models on Snapdragon platforms .Design and implement core components of Qualcomm AI Stack runtime framework for inference on resource constrained AI systems, operating in low power, small memory footprint platforms

Validate, analyze, and optimize the performance and accuracy of software through detailed testing of machine learning use cases.

Debug complex issues, perform root cause analysis, and ensure high system reliability

Collaborate with cross-functional teams to deliver robust, scalable AI software solutions.

Lead feature development and application of machine learning techniques into products and AI solutions, enabling customers to do the same.

Contribute to a culture of technical excellence, knowledge sharing, and continuous improvement within the AI Software team.

Participate in design and code reviews.

Work independently with minimal supervision and provide guidance to junior team members. Decision-making will impact your direct area of work and the broader work group .

Minimum Qualifications (Must Have)
Bachelor’s degree in Engineering , Information Systems, Computer Science, or related field5 + years (Staff) / 8+ years (Senior Staff) of general software development experience.

Proficiency in software development using C/C++.

Experience with development in a Linux environment.

Strong software development skills, including data structure and algorithm design, object-oriented or other software design paradigms, software debugging, and testing.

Excellent communication skills (verbal, presentation , and writing ).

Preferred Qualifications (Desired)
Master’s degree in Computer Science , Computer Engineering, or Electrical Engineering3 + years of experience building embedded software applications.

Familiarity with various generative AI model architectures such as LLMs.Strong understanding of hardware acceleration and deployment of generative AI inference at the connected edge .

Experience with development in various platforms such as Linux, Android, or Windows .Knowledge of low-level interactions between operating systems (e.g., Linux, Android , Windows ) and hardware.

Experience with CMake…