Nutanix
Sr Staff Engineer, AI/Machine Learning- Autonomous Driving
Nutanix, Oregon, Illinois, United States, 61061
Company:
Qualcomm Canada ULC
Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary:Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in.Today, more intelligence is moving to end devices, and mobile is becoming the pervasive AI platform. Building on the smartphone foundation and the scale of mobile, Qualcomm envisions making AI ubiquitous - expanding beyond mobile and powering other end devices, machines, vehicles, and things. We are inventing, developing, and commercializing power-efficient on-device AI, edge cloud AI, and 5G to make this a reality.AI Processor System software team is looking for talented and passionate engineers to develop and deliver novel embedded AI solutions to enable state-of-the-art AI models on
mobile/compute/IoT/embedded/auto
platforms for millions of end users.Minimum Qualifications:•
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.ORMaster'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.ORPhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Responsibilities:
Development of end-2-end embedded AI SW stack to run neural network models on Qualcomm leading edge hardware with optimal resource usageDesign and enhance the implementation of ML/AI compilers, kernels, and runtime software to improve performance and power efficiencyCollaborating with AI Processor Hardware team and high quality implementation of new ML operators/layers to optimal utilizing new capabilities in next-gen AI processorDevelopment of debugging/profiling tools and user-friendly SDK for customers to rapid deployment of their new use casesChallenging the status quo and driving innovations to be the best-of-classPreferred Skills and Experience:Excellent programming capability with low level C/C++Strong software design, development, and debugging skillsOptimized Linux, Android, or embedded software development experienceOptimization of algebraic operations in algorithms for HW coresExperience on compiler design and development is a big plusKnowledge on deep learning and popular frameworks is an assetApplicants :
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
. 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.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
.
#J-18808-Ljbffr
Qualcomm Canada ULC
Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary:Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in.Today, more intelligence is moving to end devices, and mobile is becoming the pervasive AI platform. Building on the smartphone foundation and the scale of mobile, Qualcomm envisions making AI ubiquitous - expanding beyond mobile and powering other end devices, machines, vehicles, and things. We are inventing, developing, and commercializing power-efficient on-device AI, edge cloud AI, and 5G to make this a reality.AI Processor System software team is looking for talented and passionate engineers to develop and deliver novel embedded AI solutions to enable state-of-the-art AI models on
mobile/compute/IoT/embedded/auto
platforms for millions of end users.Minimum Qualifications:•
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.ORMaster'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.ORPhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Responsibilities:
Development of end-2-end embedded AI SW stack to run neural network models on Qualcomm leading edge hardware with optimal resource usageDesign and enhance the implementation of ML/AI compilers, kernels, and runtime software to improve performance and power efficiencyCollaborating with AI Processor Hardware team and high quality implementation of new ML operators/layers to optimal utilizing new capabilities in next-gen AI processorDevelopment of debugging/profiling tools and user-friendly SDK for customers to rapid deployment of their new use casesChallenging the status quo and driving innovations to be the best-of-classPreferred Skills and Experience:Excellent programming capability with low level C/C++Strong software design, development, and debugging skillsOptimized Linux, Android, or embedded software development experienceOptimization of algebraic operations in algorithms for HW coresExperience on compiler design and development is a big plusKnowledge on deep learning and popular frameworks is an assetApplicants :
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
. 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.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
.
#J-18808-Ljbffr