Nutanix
AI Research Engineer, Senior to Staff Level
Nutanix, San Diego, California, United States, 92189
Company:
Qualcomm Vietnam Company Limited, Hanoi Branch Office Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering Overview
Qualcomm AI Research is looking for world-class algorithm engineers in general domain machine learning, especially deep learning, generative AI, LLM, LVM. Come join a high-caliber team of engineers building advanced machine learning technology, and best-in-class solutions, to enable state-of-the-art networks to run on devices with limited power, memory, and computation. Members of our team enjoy the opportunity to participate in cutting edge research while simultaneously contributing technology that will be deployed worldwide in our industry-leading devices. You will be part of a multi-disciplinary talented team working on on-device generative AI optimization. Collaborate in a cross-functional environment spanning hardware, software and systems. See your design in action on industry-leading chips embedded in the next generation of smartphones, autonomous vehicles, robotics, and IOT devices.
Responsibilities
Algorithms research and development for efficient generative AI, LLM, LVM, Multi-modality
Efficient inference algorithms, e.g. batching, KV caching, efficient attentions, long context, speculative decoding
Advanced quantization algorithms for complex generative models, e.g., gradient/non-gradient based optimization, equivalent/non-equivalent transformation, automatic mixed precision, hardware in loop
Model compression, lossy or lossless, structural and neural search
Optimization based learning and learning based optimization
Generative AI system prototyping
Apply solutions toward system innovations for model efficiency advancement on device as well as in the cloud
Python, Pytorch programming
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
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
PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
Required Qualifications
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
PhD in Computer Science, Engineering, Information Systems, or related field
Preferred Qualifications
Master's degree in Computer Science, Engineering, Information Systems, or related field. PhD degree is preferred.
2+ years of experience with Machine Learning algorithms or 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, Qualcomm is committed to providing an accessible process. You may email disability-accommodations@qualcomm.com to request accommodations. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.
Qualcomm expects its employees to abide by all applicable policies and procedures, including 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.
Staffing and Recruiting Agencies Our Careers Site is for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals represented by an agency are not authorized to use this site or submit profiles, applications or resumes. Qualcomm does not accept unsolicited resumes or applications from agencies.
More information If you would like more information about this role, please contact Qualcomm Careers.
#J-18808-Ljbffr
Qualcomm Vietnam Company Limited, Hanoi Branch Office Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering Overview
Qualcomm AI Research is looking for world-class algorithm engineers in general domain machine learning, especially deep learning, generative AI, LLM, LVM. Come join a high-caliber team of engineers building advanced machine learning technology, and best-in-class solutions, to enable state-of-the-art networks to run on devices with limited power, memory, and computation. Members of our team enjoy the opportunity to participate in cutting edge research while simultaneously contributing technology that will be deployed worldwide in our industry-leading devices. You will be part of a multi-disciplinary talented team working on on-device generative AI optimization. Collaborate in a cross-functional environment spanning hardware, software and systems. See your design in action on industry-leading chips embedded in the next generation of smartphones, autonomous vehicles, robotics, and IOT devices.
Responsibilities
Algorithms research and development for efficient generative AI, LLM, LVM, Multi-modality
Efficient inference algorithms, e.g. batching, KV caching, efficient attentions, long context, speculative decoding
Advanced quantization algorithms for complex generative models, e.g., gradient/non-gradient based optimization, equivalent/non-equivalent transformation, automatic mixed precision, hardware in loop
Model compression, lossy or lossless, structural and neural search
Optimization based learning and learning based optimization
Generative AI system prototyping
Apply solutions toward system innovations for model efficiency advancement on device as well as in the cloud
Python, Pytorch programming
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
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
PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
Required Qualifications
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
PhD in Computer Science, Engineering, Information Systems, or related field
Preferred Qualifications
Master's degree in Computer Science, Engineering, Information Systems, or related field. PhD degree is preferred.
2+ years of experience with Machine Learning algorithms or 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, Qualcomm is committed to providing an accessible process. You may email disability-accommodations@qualcomm.com to request accommodations. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.
Qualcomm expects its employees to abide by all applicable policies and procedures, including 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.
Staffing and Recruiting Agencies Our Careers Site is for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals represented by an agency are not authorized to use this site or submit profiles, applications or resumes. Qualcomm does not accept unsolicited resumes or applications from agencies.
More information If you would like more information about this role, please contact Qualcomm Careers.
#J-18808-Ljbffr