Senior Software Engineer
Qualcomm
Senior Software Engineer
Qualcomm
Designs mobile chips and licenses wireless patents
General Summary:
Job Overview:
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 verticals.
In 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.
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 field
5+ years 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 Engineering
3+ 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 agile software development practices and git-based SCM.
Ability to collaborate across a globally diverse team and manage multiple interests.
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
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 [email protected] 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.
Qualcomm designs the Snapdragon processors and modems inside many Android phones, and it licenses its wireless patents to device makers around the world. It helped commercialize CDMA, the cellular technology behind 3G networks, and its patents cover core parts of the 4G and 5G standards that phones use to connect. The company does not run its own chip factories; contract foundries make its chips, which it sells to makers of phones, PCs, cars, and connected devices. Device makers also pay Qualcomm royalties for using its patented technology, which forms a second business alongside chip sales. Qualcomm was founded in 1985 and is based in San Diego, California.
Explore more opportunities at Qualcomm