Staff Engineer, Machine Learning Engineering

• Work in a dynamic research environment,
• Be part of a multi-disciplinary team of researchers and software engineers who work with cutting edge AI frameworks and tools.
• Architect, design, develop and test model optimization techniques that include - but are not limited to - graph optimization, pruning and quantization., 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 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).

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., * Strong Software Engineering/Development skills combined with a solid foundation in AI and general ML techniques.

• Proven hands-on experience evaluating and optimizing Generative AI workflows for accuracy, performance, and other key metrics.
• Prior experience with ML model optimization frameworks and a familiarity with applying techniques such as quantization, pruning etc.
• Knowledge of neural networks, with hands-on experience using ML frameworks such as PyTorch, ONNX etc.
• Strong Python design and implementation skills.
• Strong general analytical and debugging skills.
• Prior experience working in agile environments.
• Prior experience in collaborating with multi-disciplinary teams across time zones.
• Strong leadership skills as a mentor, team player, communicator and presenter.
• Experience deploying GenAI LLM/LVM models on edge devices.
• Prior experience with model quantization, profiling and running models on edge devices.
• Prior experience with frameworks like Huggingface Optimum, ONNX runtime and OpenVino.
• Proven hands-on experience establishing a high-quality software delivery process using industry best-practices (code review, CI/CD, automation, etc.) is a plus.

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: $178,400.00 - $267,600.00

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.

Artificial Intelligence is changing the world for the benefit of human beings and societies. QUALCOMM, as the world's leading mobile computing platform provider, is committed to enable the wide deployment of intelligent solutions on all possible devices - like smart phones, autonomous vehicles, robotics and IOT devices. Qualcomm is creating the building blocks for the intelligent edge.

We are part of Qualcomm AI Research, and we focus on advancing Gen AI Technology for the Edge - including model fine tuning, hardware acceleration, model quantization, edge inference and related fields. Come join us on this exciting journey.

The successful applicant should have a strong theoretical background and proven hands-on experience with enabling on-device AI using modern software engineering best practices.