Company Qualcomm India Private LimitedJob Area Engineering Group Engineering Group Systems EngineeringGeneral Summary As part of Qualcomm AI Systems Solution CoE Center of Excellence team you will develop leading-edge products and solutions around best-in-class Qualcomm high-performance inference accelerators for cloud edge and hybrid AI applications In this role you will be developing and delivering System solution software for requirements across automotive cloud and industrial IoT BUs and drive overall system solutions This covers a broad range of technical tasks starting from industry leading and customer specific use cases a spectrum of technologies to define AI ML system solutions ML models optimization including GenAI LLMs LVMs LMMs and ensure efficient and scalable deployment on inference accelerators and edge devices of different formfactors phone IHH AI PC AI Appliance Qualcomm AI Systems engineers collaborate across functional teams to meet and exceed system-level requirements and standards This is your opportunity to work on the leading-edge AI technologies and systems current product and future roadmap designed for AI inference acceleration and to addresses unique requirements in energy efficient AI compute In this leadership role you will be engaged with key customers and internal hardware and software teams across automotive cloud and industrial IoT BUs product and project management business development leads and other key stakeholders executives and partners to drive overall system solutions This covers a broad range of technical tasks starting from industry leading and customer specific use cases a spectrum of technologies to define AI ML system solutions ML models including GenAI LLMs and optimization and efficient and scalable deployment on inference accelerators and edge devices of different formfactors phone IHH AI PC AI Appliance Required Skills and Aptitudes Leadership experience on projects from architecture development design deployment to production Hands-on experience in ML AI tools development involving Deep Learning frameworks like Pytorch 1 x 2 x TensorFlow ONNX etc Strong understanding of model architectures across CV NLP LLMs LVMs and Multi-Modal NWs Strong understanding and experience in working on inference graph optimization Quantization pruning and compression techniques etc Understanding of performance and accuracy metrics for different class of neural NWs Detailed understanding of AI edge and server systems infrastructure and industry standards Understanding of performance and accuracy metrics for different class of neural NWs Background of HW architectures like GPUs AI accelerators like TPUs will be a plus Hands-on Experience with Object Orientated Design design patterns Strong python C implementation skills Skill level 7 10 Strong in Data structures Algorithms Skill level 7 10 Hands on knowledge of LLM fine tuning Quantization aware training is a plus Knowledge of machine learning runtimes like ONNX Runtime Pytorch and TF runtimes is a plus Experience in survey of competitor toolchain and survey latest trends in the industry and academia Hands-on experience and necessary software skills to develop both prototype and production quality solutions Develop recent and innovative ideas e g IDFs for a product or feature area Excellent analytical development and debugging skills Desirable Skills and Aptitudes Experience with GPUs machine learning accelerators and related software is a plus Knowledge of ML compilers like TVM GLOW XLA is a plus Hands on use of version control tools like GIT GITHUB Qualifications Bachelor s Masters PHD degree in Engineering Machine learning AI Information Systems Computer Science or related field 10 years of Industry Experience in Systems engineering 5 years of hand-on experience with machine learning workloads and tasks including computer vision natural language processing and large language models Minimum Qualifications Bachelor s degree in Engineering Information Systems Computer Science or related field and 6 years of Systems Engineering or related work experience OR Master s degree in Engineering Information Systems Computer Science or related field and 5 years of Systems Engineering or related work experience OR PhD in Engineering Information Systems Computer Science or related field and 4 years of Systems Engineering or related work experience Applicants 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 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 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 If you would like more information about this role please contact Qualcomm Careers

📌 Sr Staff Engineer - System Solution Ai Center Of Excellence (Karnataka)
🏢 Qualcomm
📍 Karnataka