Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

Job Description

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, frameworks, and tools that enable the efficient utilization of state-of-the-art solutions across a broad set of technology verticals or designs.

In this position, you will be responsible for leading the software design and development of the Qualcomm AI Stack features, SDKs, and associated tools, including delegates support for ONNX Runtime, Executorch and TFLite/LiteRT frameworks. You will target the optimization and acceleration of AI models on Qualcomm Snapdragon platforms and AI accelerators and 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.

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.

Responsibilities:

• Design, develop, and optimize features for the Qualcomm AI Stack SDKs and tools to support execution of the latest neural networks on Snapdragon platforms.

• Design, develop, and optimize features for ONNX Runtime Execution Provider, Execu Torch Edge IR graph lowering stack, and LiteRT delegates.

• Research and recommend leading technologies related to the Py Torch and ONNX ecosystems, model architectures, graph lowering and optimization techniques, and quantization methods.

• 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.

Preferred Qualifications:

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

• 6+ years of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras).

• 6+ years of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media).

• 6+ years of experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++)

• 6+ years of experience using statistics and probability (e.g., conditional probability, Bayes rule).

• 3+ years experience working in a large matrixed organization.

• 2+ years of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.

• 1+ year in a technical leadership role with or without direct reports (only applies to positions with direct reports).

• 1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director and above).

Principal Duties and Responsibilities:

• Leverages advanced Machine Learning knowledge to extend training or runtime frameworks or model efficiency software tools with new features and optimizations.

• Models, architects, and develops advanced machine learning hardware (co-designed with machine learning software) for inference or training solutions.

• Develops optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools, etc.) to allow specific hardware features; collaborates with hardware teams for joint design and development.

• Develops and applies machine learning techniques into products and/or AI solutions to enable customers to do the same.

• Develops, adapts, or prototypes novel machine learning solutions aligned with and motivated by proposals or roadmaps for complex products and working features.

• Oversees and conducts experiments to train and evaluate machine learning models and/or software.

Level of Responsibility:

• Works independently with minimal supervision.

• Provides supervision/guidance to other team members.

• Decision-making is significant in nature and affects work beyond immediate work group.

• Requires verbal and written communication skills to convey complex information. May require negotiation, influence, tact, etc.

• Has a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions).

• Tasks do not have defined steps; planning, problem-solving, and prioritization must occur to complete the tasks effectively.

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:

$158,400.00 - $237,600.00

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.