GPU Machine Learning Engineer, Senior Job at Nutanix in San Diego
Nutanix, San Diego, CA, United States
Company Qualcomm Technologies, Inc.
Job Area Engineering Group, Engineering Group > Machine Learning Engineering
General Summary The Qualcomm GPU Software team is looking for talented software engineers interested in developing software for the latest Machine Learning models on the next generation of devices. The GPU Software team is responsible for delivering device drivers, extensions for Machine Learning and tools for Snapdragon chipsets, providing best in class performance, power, and features. This role will involve working on Graphics software stack and Machine Learning SDKs and frameworks on Android, Linux and Windows.
As a GPU Software Machine Learning Engineer, you are responsible for working with a team that is developing & optimizing Adreno GPU drivers for standard APIs such as OpenCL, OpenGL ES, Vulkan, and DirectX. You will be exposed to technology areas such as Image Processing and Machine Learning. This position requires close collaboration with hardware designers to understand, improve, and document hardware/software interfaces.
Responsibilities will include the acceleration of Machine Learning operations for inference and training on the GPU, implementation of the latest Machine Learning models including LLMs and LVMs, writing samples and documentation, implementing interfaces to Machine Learning frameworks, development of unit tests and working with our partners, external developers, and OEMs.
Skills Strong C/C++ programming skills
Strong knowledge of Machine Learning Theory
Familiarity with a Deep Learning Framework such as PyTorch
Familiarity with a GPGPU API such as CUDA or OpenCL
Understanding of data structures and algorithms, including object-oriented programming
Excellent interpersonal and analytical skills with the ability to work independently
Optional, preferred skills Device driver development, including GPU or CPU
Programming experience with Graphics APIs such as OpenGL ES/Vulkan/DX11/DX12
Knowledge of GPGPU application development including Mathematical Operations and Image Processing
Exposure to Embedded systems and Real-time operating systems
Experience working with ARM architecture
Familiarity with Git or other SCM tools
Minimum 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.
OR
• 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.
OR
• PhD in Computer Science, Engineering, Information Systems, or related field.
Preferred Qualifications Master\'s Degree in Applied Mathematics, Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or related field.
3+ years\' experience with software development skills (e.g. data structure and algorithm design, object oriented or other software design paradigm knowledge, software debugging and testing, etc.)
3+ years\' experience with C++ programming
Optimizing algorithms for GPU hardware using OpenCL or CUDA
Experience with different NN architectures such as CNNs, LLMs, LVMs, etc.
Background in mathematical operations (e.g. linear algebra, fast math libraries, etc.)
Principal Duties and Responsibilities Writes code for well-defined features, drivers, and APIs using different languages (e.g., C, C++, Python).
Assists in identifying deficiencies in designs and works with team members to develop solutions to improve designs.
Collaborates with team members to understand new features and functionality that align with needs and goals for implementation and customization.
Writes detailed design documentation and feature descriptions for projects.
Equal Opportunity and Accommodation 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-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.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Pay range and Other Compensation & Benefits: $140,800.00 - $211,200.00
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. Salary is one component of total compensation at Qualcomm, which also includes a discretionary bonus and potential RSU grants. Details about US benefits can be discussed with your recruiter.
If you would like more information about this role, please contact Qualcomm Careers.
#J-18808-Ljbffr
In Summary: The GPU Software team is responsible for delivering device drivers, extensions for Machine Learning and tools for Snapdragon chipsets . The role will involve working on Graphics software stack and Machine Learning SDKs and frameworks on Android, Linux and Windows . The position requires close collaboration with hardware designers to understand, improve, and document hardware/software interfaces .
En Español: Compañía Qualcomm Technologies, Inc. Grupo de Ingeniería del Área de Trabajo, Engineering Group > Machine Learning Engineering Resumen General El equipo de software GPU de QualcomM está buscando ingenieros de software talentosos interesados en desarrollar software para los últimos modelos de aprendizaje automático en la próxima generación de dispositivos. Esta posición requiere una estrecha colaboración con los diseñadores de hardware para comprender, mejorar y documentar las interfaces de hardware/software. Las responsabilidades incluirán la aceleración de las operaciones de aprendizaje automático para inferir y capacitar en la GPU, la implementación de los últimos modelos de Machine Learning incluyendo LLM y LVMs, escribir muestras y documentación, implementar interfazes a los marcos de Aprendizaje Automático, el desarrollo de pruebas unitarias y trabajar con nuestros socios, desarrolladores externos y OEMs. Competencias Fuertes habilidades de programación C / C ++ Conocimiento sólido de teoría del aprendizaje automatico Con un marco de aprendizamiento profundo como la arquitectura GitTorch Familiarización con una API GPU como CUDA o OpenCL Entendimiento de estructuras y algoritmos de datos, incluida la programación orientada al objeto Excelentes habilidades interpersonales y analíticas con capacidad de trabajo independiente Desarrollo de Dispositivos, desarrollo de CPUs, APD o experiencia en ingeniería gráfica Optámica Optástica Experiencia profesional superior en sistemas informáticos, Ingeniería electrónica, ingeniería móvil o otras aplicaciones relacionadas con software, conocimientos básicas en el campo de la ingeniería de la información, etc. Conocimiento del paradigma de diseño de datos y algoritmos, conocimientos orientados a objetos u otros programas informáticos, depuración y pruebas de software, etc.) 3+ años' experiencia con la programación C++ Optimización de algoritmos para hardware GPU utilizando OpenCL o CUDA Experiencia con diferentes arquitecturas NN como CNNs, LLMs, LVM, etc. Antecedentes en operaciones matemáticas (por ejemplo, álgebra lineal, bibliotecas rápidas de matemáticas, etc) Duties y Responsabilidades Principales Escriba código para funciones bien definidas, controladores y APIs usando diferentes idiomas (p.ej., C, C ++, Qual Python). Qualcomm ayuda a identificar deficiencias en los diseños y trabaja con miembros del equipo para desarrollar soluciones para mejorar los diseinos. Colabora con miembros de equipo para comprender las nuevas características y funcionalidades que se alinean con las necesidades y objetivos de implementación y alquiler. Proceso de contratación gratuito Descripciones detalladas y recursos personalizados. Qualcomm también se compromete a hacer que nuestro lugar de trabajo sea accesible para las personas con discapacidades. EEO Empleador: QualComm es un empleador de igualdad de oportunidades; todos los solicitantes calificados recibirán consideración por empleo independientemente de la raza, el color, la religión, el sexo, la orientación sexual, la identidad de género, el origen nacional, la incapacidad, el estatus de veterano o cualquier otra clasificación protegida. Rango de pago y otras compensaciones y beneficios: $ 140,800.00 - $ 211,200.00 La escala salarial anterior refleja la amplia, mínima a máxima, escala de pago para este código laboral del puesto para el cual ha sido publicado.
Job Area Engineering Group, Engineering Group > Machine Learning Engineering
General Summary The Qualcomm GPU Software team is looking for talented software engineers interested in developing software for the latest Machine Learning models on the next generation of devices. The GPU Software team is responsible for delivering device drivers, extensions for Machine Learning and tools for Snapdragon chipsets, providing best in class performance, power, and features. This role will involve working on Graphics software stack and Machine Learning SDKs and frameworks on Android, Linux and Windows.
As a GPU Software Machine Learning Engineer, you are responsible for working with a team that is developing & optimizing Adreno GPU drivers for standard APIs such as OpenCL, OpenGL ES, Vulkan, and DirectX. You will be exposed to technology areas such as Image Processing and Machine Learning. This position requires close collaboration with hardware designers to understand, improve, and document hardware/software interfaces.
Responsibilities will include the acceleration of Machine Learning operations for inference and training on the GPU, implementation of the latest Machine Learning models including LLMs and LVMs, writing samples and documentation, implementing interfaces to Machine Learning frameworks, development of unit tests and working with our partners, external developers, and OEMs.
Skills Strong C/C++ programming skills
Strong knowledge of Machine Learning Theory
Familiarity with a Deep Learning Framework such as PyTorch
Familiarity with a GPGPU API such as CUDA or OpenCL
Understanding of data structures and algorithms, including object-oriented programming
Excellent interpersonal and analytical skills with the ability to work independently
Optional, preferred skills Device driver development, including GPU or CPU
Programming experience with Graphics APIs such as OpenGL ES/Vulkan/DX11/DX12
Knowledge of GPGPU application development including Mathematical Operations and Image Processing
Exposure to Embedded systems and Real-time operating systems
Experience working with ARM architecture
Familiarity with Git or other SCM tools
Minimum 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.
OR
• 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.
OR
• PhD in Computer Science, Engineering, Information Systems, or related field.
Preferred Qualifications Master\'s Degree in Applied Mathematics, Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or related field.
3+ years\' experience with software development skills (e.g. data structure and algorithm design, object oriented or other software design paradigm knowledge, software debugging and testing, etc.)
3+ years\' experience with C++ programming
Optimizing algorithms for GPU hardware using OpenCL or CUDA
Experience with different NN architectures such as CNNs, LLMs, LVMs, etc.
Background in mathematical operations (e.g. linear algebra, fast math libraries, etc.)
Principal Duties and Responsibilities Writes code for well-defined features, drivers, and APIs using different languages (e.g., C, C++, Python).
Assists in identifying deficiencies in designs and works with team members to develop solutions to improve designs.
Collaborates with team members to understand new features and functionality that align with needs and goals for implementation and customization.
Writes detailed design documentation and feature descriptions for projects.
Equal Opportunity and Accommodation 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-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.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Pay range and Other Compensation & Benefits: $140,800.00 - $211,200.00
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. Salary is one component of total compensation at Qualcomm, which also includes a discretionary bonus and potential RSU grants. Details about US benefits can be discussed with your recruiter.
If you would like more information about this role, please contact Qualcomm Careers.
#J-18808-Ljbffr
In Summary: The GPU Software team is responsible for delivering device drivers, extensions for Machine Learning and tools for Snapdragon chipsets . The role will involve working on Graphics software stack and Machine Learning SDKs and frameworks on Android, Linux and Windows . The position requires close collaboration with hardware designers to understand, improve, and document hardware/software interfaces .
En Español: Compañía Qualcomm Technologies, Inc. Grupo de Ingeniería del Área de Trabajo, Engineering Group > Machine Learning Engineering Resumen General El equipo de software GPU de QualcomM está buscando ingenieros de software talentosos interesados en desarrollar software para los últimos modelos de aprendizaje automático en la próxima generación de dispositivos. Esta posición requiere una estrecha colaboración con los diseñadores de hardware para comprender, mejorar y documentar las interfaces de hardware/software. Las responsabilidades incluirán la aceleración de las operaciones de aprendizaje automático para inferir y capacitar en la GPU, la implementación de los últimos modelos de Machine Learning incluyendo LLM y LVMs, escribir muestras y documentación, implementar interfazes a los marcos de Aprendizaje Automático, el desarrollo de pruebas unitarias y trabajar con nuestros socios, desarrolladores externos y OEMs. Competencias Fuertes habilidades de programación C / C ++ Conocimiento sólido de teoría del aprendizaje automatico Con un marco de aprendizamiento profundo como la arquitectura GitTorch Familiarización con una API GPU como CUDA o OpenCL Entendimiento de estructuras y algoritmos de datos, incluida la programación orientada al objeto Excelentes habilidades interpersonales y analíticas con capacidad de trabajo independiente Desarrollo de Dispositivos, desarrollo de CPUs, APD o experiencia en ingeniería gráfica Optámica Optástica Experiencia profesional superior en sistemas informáticos, Ingeniería electrónica, ingeniería móvil o otras aplicaciones relacionadas con software, conocimientos básicas en el campo de la ingeniería de la información, etc. Conocimiento del paradigma de diseño de datos y algoritmos, conocimientos orientados a objetos u otros programas informáticos, depuración y pruebas de software, etc.) 3+ años' experiencia con la programación C++ Optimización de algoritmos para hardware GPU utilizando OpenCL o CUDA Experiencia con diferentes arquitecturas NN como CNNs, LLMs, LVM, etc. Antecedentes en operaciones matemáticas (por ejemplo, álgebra lineal, bibliotecas rápidas de matemáticas, etc) Duties y Responsabilidades Principales Escriba código para funciones bien definidas, controladores y APIs usando diferentes idiomas (p.ej., C, C ++, Qual Python). Qualcomm ayuda a identificar deficiencias en los diseños y trabaja con miembros del equipo para desarrollar soluciones para mejorar los diseinos. Colabora con miembros de equipo para comprender las nuevas características y funcionalidades que se alinean con las necesidades y objetivos de implementación y alquiler. Proceso de contratación gratuito Descripciones detalladas y recursos personalizados. Qualcomm también se compromete a hacer que nuestro lugar de trabajo sea accesible para las personas con discapacidades. EEO Empleador: QualComm es un empleador de igualdad de oportunidades; todos los solicitantes calificados recibirán consideración por empleo independientemente de la raza, el color, la religión, el sexo, la orientación sexual, la identidad de género, el origen nacional, la incapacidad, el estatus de veterano o cualquier otra clasificación protegida. Rango de pago y otras compensaciones y beneficios: $ 140,800.00 - $ 211,200.00 La escala salarial anterior refleja la amplia, mínima a máxima, escala de pago para este código laboral del puesto para el cual ha sido publicado.