**Company:**Qualcomm Technologies, Inc.**Job Area:**Engineering Group, Engineering Group > Machine Learning Engineering**General Summary:**Qualcomm's Multimedia R&D Standards Group is seeking a skilled C++ Machine Learning Performance Engineer to optimize and integrate AI models into our next-generation video codecs. As video data continues to grow exponentially, we need to leverage AI to improve compression efficiency. The ideal candidate will be responsible for the end-to-end process of quantizing PyTorch models, porting them to highly optimized C++ code using SIMD and AVX2 instructions, and deploying them within traditional video codec frameworks. Experience with video processing is extremely valuable for this role. You will work with a world-class team of data compression experts to push the boundaries of AI-enabled video compression.**Responsibilities:**• Quantize and optimize PyTorch models for efficient deployment on edge devices, particularly Qualcomm's NPU.• Port PyTorch models to highly optimized C++ implementations using SIMD and AVX2 instructions.• Integrate optimized ML models into existing video codec frameworks.• Collaborate with research scientists to implement and optimize novel AI-based video compression algorithms.• Benchmark and profile ML model performance, identifying and resolving bottlenecks.• Contribute to the development of tools and workflows for efficient model optimization and deployment.• Document optimization techniques, best practices, and integration processes.Ideal candidate would have the skills/experience below:• Strong C++ programming skills with a focus on performance optimization.• Extensive experience with SIMD instructions (SSE, AVX, AVX2, NEON) and vectorization techniques.• Proficiency in low-level optimization techniques and parallel programming.• Experience with PyTorch and model quantization techniques.• Solid understanding of video processing and compression techniques.• Experience with one or more modern video codecs (VVC or AV1 experience is a huge plus).• Knowledge of computer architecture and its impact on performance.• Familiarity with profiling tools and performance analysis.• Experience optimizing ML models for edge deployment, particularly on mobile or embedded platforms.• Strong problem-solving skills and attention to detail.• Excellent written and verbal communication skills.**Minimum Qualifications:**• BS or MS in Computer Science, Electrical Engineering, or a related field.• 3+ years of experience in C++ development and performance optimization.• Demonstrated experience in porting and optimizing ML models for deployment.• Familiarity with video codecs and compression techniques.**Preferred Qualifications:**• Experience with VVC or AV1 codec implementation or optimization.• Track record of contributions to open-source video processing or codec projects.• Publications or patents related to video compression or ML optimization.This role offers an exciting opportunity to bridge the gap between cutting-edge AI research and practical, high-performance implementations in video compression technology. Your expertise in video processing and low-level optimizations will be crucial in developing the next generation of AI-enabled video codecs. Join us in shaping the future of video coding!**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.ORMaster'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.ORPhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.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 myhr.support@qualcomm.com or call Qualcomm's toll-free number found here (ervice-now.com/hrpublic?id=hr\_public\_article\_view&sysparm\_article=KB0039028) . 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.**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:**$148,500.00 - $222,500.00The 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!If you would like more information about this role, please contact Qualcomm Careers (ualcomm.com/contact/corporate) .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
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Machine Learning Performance Engineer - Video Codec Optimization_