Job Area:Engineering Group, Engineering Group > Machine Learning Engineering
General Summary: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.
Minimum Qualifications:• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 8+ 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 7+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Responsibilities:
- 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.
Preferred Skills and 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.
Pay range and Other Compensation & Benefits: $200,800.00 - $301,200.00
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.
