Nutanix
Staff Engineer, Machine Learning Engineering (Heterogenous SW)
Nutanix, San Diego, California, United States, 92154
General Summary Artificial Intelligence is changing the world for the benefit of human beings and societies. Qualcomm Technologies, Inc. is committed to enable the wide deployment of intelligent solutions on all possible devices — like smartphones, autonomous vehicles, robotics and IoT devices. Qualcomm is creating building blocks for the intelligent edge. We are part of Qualcomm AI Research, focusing on advancing Gen AI Technology for the Edge — including model fine tuning, hardware acceleration, model quantization, edge inference and related fields. In this role, you will work in a dynamic research environment as part of a multi-disciplinary team of researchers and software engineers who work with cutting edge AI frameworks and tools. You will architect, design, develop, test, and deploy on- and off-device frameworks enabling optimization.
Please make an application promptly if you are a good match for this role due to high levels of interest. 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. Must have experience and skills
Strong theoretical background in AI and general ML techniques Proven hands-on experience evaluating and optimizing Generative AI workflows for accuracy, performance, and other key metrics Proven hands-on experience building LLM stacks to solve real-world problems Strong Python and modern C++ design and implementation skills Strong command of Machine Learning training frameworks (i.e. PyTorch) Proven hands-on experience establishing a high-quality software delivery process using industry best-practices (code review, CI/CD, automation, etc.) Strong Linux command line skills Strong general analytical and debugging skills Prior experience working in agile environments Prior experience in collaborating with multi-disciplinary teams across time zones Strong team player, communicator, presenter, mentor, and teacher Preferred extra experience and skills
Hands-on experience developing software for heterogeneous platforms with OpenCL Experience developing solutions that target a variety of hardware (CPU, GPU, NSP, etc.) along with their respective SW development environments Prior experience with model quantization, profiling and running models on edge devices Experience developing SDKs/libraries targeting multiple platforms and operating systems (Android, Linux, Windows) Previous experience with Docker and Git Preferred qualifications
Master’s and/or PhD degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of work experience in Software Engineering, Systems Engineering, or related 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. To request accommodations, you may contact disability-accommodations@qualcomm.com or call Qualcomm’s toll-free number. Qualcomm will provide reasonable accommodations to support individuals with disabilities to participate in the hiring process. We are committed to making our workplace accessible for individuals with disabilities. Pay range and Other Compensation & Benefits:
$158,400.00 - $237,600.00 The above pay scale reflects the broad minimum to maximum pay scale for this job code at the posted location. Salary is one component of total compensation, which may include a discretionary annual bonus and potential RSU grants. Our benefits package is designed to support success at work, home, and at play. Your recruiter can discuss details about Qualcomm benefits. If you would like more information about this role, please contact Qualcomm Careers.
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Please make an application promptly if you are a good match for this role due to high levels of interest. 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. Must have experience and skills
Strong theoretical background in AI and general ML techniques Proven hands-on experience evaluating and optimizing Generative AI workflows for accuracy, performance, and other key metrics Proven hands-on experience building LLM stacks to solve real-world problems Strong Python and modern C++ design and implementation skills Strong command of Machine Learning training frameworks (i.e. PyTorch) Proven hands-on experience establishing a high-quality software delivery process using industry best-practices (code review, CI/CD, automation, etc.) Strong Linux command line skills Strong general analytical and debugging skills Prior experience working in agile environments Prior experience in collaborating with multi-disciplinary teams across time zones Strong team player, communicator, presenter, mentor, and teacher Preferred extra experience and skills
Hands-on experience developing software for heterogeneous platforms with OpenCL Experience developing solutions that target a variety of hardware (CPU, GPU, NSP, etc.) along with their respective SW development environments Prior experience with model quantization, profiling and running models on edge devices Experience developing SDKs/libraries targeting multiple platforms and operating systems (Android, Linux, Windows) Previous experience with Docker and Git Preferred qualifications
Master’s and/or PhD degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of work experience in Software Engineering, Systems Engineering, or related 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. To request accommodations, you may contact disability-accommodations@qualcomm.com or call Qualcomm’s toll-free number. Qualcomm will provide reasonable accommodations to support individuals with disabilities to participate in the hiring process. We are committed to making our workplace accessible for individuals with disabilities. Pay range and Other Compensation & Benefits:
$158,400.00 - $237,600.00 The above pay scale reflects the broad minimum to maximum pay scale for this job code at the posted location. Salary is one component of total compensation, which may include a discretionary annual bonus and potential RSU grants. Our benefits package is designed to support success at work, home, and at play. Your recruiter can discuss details about Qualcomm benefits. If you would like more information about this role, please contact Qualcomm Careers.
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