Among computer and information research scientists, AI is already used for a large share of the tasks. Measured exposure for computer and information research scientists: 34% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

Check how this applies to your own job

Skills this job asks for

Say which you have and which you want to build. We use it to match you to jobs like this one.

About the job

Company: Qualcomm Technologies, Inc.

Job Area: Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

We are looking for an experienced AI System Software Engineer to deliver a comprehensive set of sample AI applications showing use of Snapdragon AI APIs, optimized libraries, and interface to other subsystem interfaces such as camera, audio, display, graphics, memory, security, and other operating system components available on Snapdragon.

As a senior member of the team responsible for the AI application developer experience on Snapdragon compute platform, you will have opportunity to provide Windows AI application developers with sample applications with interfaces and templates which will allow them to plug in their proprietary models to first test the port of their model on Windows on Snapdragon and derive valuable performance metrics which will further be used to optimize the model for performance. You will also be responsible to work with internal application/customer engineering teams to address any queries from application developer ecosystem on use of Snapdragon AI APIs and enhance the sample applications if needed. Through the experience on developing the sample applications, you will drive improvements into the SW stack including SDK, Tools, and documentation that will directly impact the ease of use and performance realization by Windows Application Developers on Snapdragon. You will work closely with development leads, software and hardware architects, project engineers, product managers, customer engineers, OEMs, OS partners and application developers.

Ideal candidate has extensive expertise in building end to end applications for one or more of Computer Vision, Audio, LVM, LLM use cases using AI/ML tools/workflow preferably on Windows on CPU, GPU, NPU.

Responsibilities :

Understand trends in ML model design, and workflow through application developer engagements and latest academic research

Develop and ensure sample application comprehensiveness for AI on Windows on Snapdragon to cover the gamut of models used, and use-cases including use of additional snapdragon optimized libraries outside of Snapdragon AI functions.

Provide sufficient performance and accuracy diagnostics in the sample application to accurately reflect the expected behavior of 3rd party application AI models

Interface with 3rd party application developers and other cross-site and cross-functional teams to arrive at easy-to-use sample application, and documentation that are directly leveraged by 3rd party app developers for Windows on Snapdragon

Contribute new features and designs to the Qualcomm AI toolkit to enhance the workflow experience of Application Developers

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

Preferred Qualifications:

Excellent understanding of AI frameworks (e.g., TensorFlow, PyTorch), GPU programming, and parallel computing. Experience with large language models/foundational models development and deployment a plus

Good Understanding of complete AI Software stack and familiarity with AI performance tuning techniques on GPU, NPU based systems

Experience with development of end-to-end AI application on Windows using Windows ML, DirectML

Experience in full workflow involved in training and deployment of models on servers and porting to client Windows compute platforms involving model inference deployment and performance tuning

Proficiency in programming languages such as Python, C++

Excellent communication skills to articulate complex technical concepts to non-technical and technical stakeholders.

Strong leadership abilities to motivate and guide development teams.

Detail-oriented with strong problem-solving, analytical, and debugging skills

Demonstrated ability to learn, think and adapt in a fast-changing environment

Familiarity with software development methodologies, version control systems, and agile project management practices.

4+ years’ experience in application development involving High Performance Computing with 2+ years in AI application development on Windows

Bachelors/Masters in Computer Science or Electrical Engineering

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).

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.

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

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.

Pay range and Other Compensation & Benefits : $174,000.00 - $261,000.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link .

If you would like more information about this role, please contact Qualcomm Careers .