Nutanix
Sr. Engineer - ML_Wireless R&D
Nutanix, Oregon, Illinois, United States, 61061
Company:
Qualcomm India Private LimitedJob Area:
Engineering Group, Engineering Group > Systems EngineeringGeneral Summary:As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards.Minimum Qualifications:Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.OR PhD in Engineering, Information Systems, Computer Science, or related field.Job OverviewQualcomm is a company of inventors that ushered 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 the potential of technology into world-changing products. This is the Invention Age - and this is where you come in.Over the last few decades, the Wireless Systems group at Qualcomm has been instrumental in driving the mobile communication revolution which has touched every aspect of our modern life. The Wireless Research and Development (WRD) team in Bengaluru is working to advance the state of the art in the Cellular industry by developing novel technology enhancements for inclusion in the next generation 3GPP/O-RAN standards and products. You now have an opportunity of joining this team.We are looking for an individual who is passionate about system design and can work closely with data scientists, HW, SW, and test teams to deliver end to end solutions. The role requires ability to build a production/deployment system for bridging the gap between data science and lifecycle management of machine learning models for Wireless world. Conceptualize new solutions that will operationalize and scale machine learning models for Wireless networks/Cellular chipsets and standards, propose implementation details, evaluate and simulate performance benefits, and analyze and diagnose system level issues, collaborate across functional teams to meet and exceed system-level requirements and standards.Minimum Qualifications:Master’s degree in engineering, Information Systems, Computer Science, or related fields.2+ years of Systems Engineering, or data engineering, or software development, or related work experience.Strong hands-on expertise in machine learning concepts and frameworks (e.g., PyTorch, TensorFlow).2+ years of experience with Programming Language such as C/C++/Java, or Python, etc.Preferred Qualifications:Academic project experience or 2+ year industry experience in at least one or more of the following areas: Applied mathematics, machine learning or Bayesian inference, architecture/systems engineering, information theory.Forward looking attitude, analyze upcoming trends in neural NWs (GNN, GenAI, etc) and techniques.Strong in mathematical statistics, probability theory and Linear algebra related to Machine Learning / Deep Neural NWs.Strong analytical and problem-solving skills.Strong hands-on in Data structures and algorithms.Good understanding of design patterns and design philosophies.Experience in state-of-the-art methods to interpret/analyze data, identify patterns/trends/ insights, and tuning/optimization of models.Working experience in creating versatile tools and frameworks using Python, and knowledge of AWS analytical technologies and related resources (Glue, Athena, QuickSight, SageMaker, etc.)Experience with cloud platforms (e.g., AWS, Azure, Google Cloud), databases, data warehousing, data streaming frameworks (e.g., Apache Kafka/ SQL), containerization technologies and orchestration tools (e.g., Docker, Kubernetes) will be added advantage.Experience in developing and maintain CI/CD pipelines for machine learning models. Model monitoring and retraining.Passion for learning and intellectual curiosity.
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Qualcomm India Private LimitedJob Area:
Engineering Group, Engineering Group > Systems EngineeringGeneral Summary:As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards.Minimum Qualifications:Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.OR PhD in Engineering, Information Systems, Computer Science, or related field.Job OverviewQualcomm is a company of inventors that ushered 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 the potential of technology into world-changing products. This is the Invention Age - and this is where you come in.Over the last few decades, the Wireless Systems group at Qualcomm has been instrumental in driving the mobile communication revolution which has touched every aspect of our modern life. The Wireless Research and Development (WRD) team in Bengaluru is working to advance the state of the art in the Cellular industry by developing novel technology enhancements for inclusion in the next generation 3GPP/O-RAN standards and products. You now have an opportunity of joining this team.We are looking for an individual who is passionate about system design and can work closely with data scientists, HW, SW, and test teams to deliver end to end solutions. The role requires ability to build a production/deployment system for bridging the gap between data science and lifecycle management of machine learning models for Wireless world. Conceptualize new solutions that will operationalize and scale machine learning models for Wireless networks/Cellular chipsets and standards, propose implementation details, evaluate and simulate performance benefits, and analyze and diagnose system level issues, collaborate across functional teams to meet and exceed system-level requirements and standards.Minimum Qualifications:Master’s degree in engineering, Information Systems, Computer Science, or related fields.2+ years of Systems Engineering, or data engineering, or software development, or related work experience.Strong hands-on expertise in machine learning concepts and frameworks (e.g., PyTorch, TensorFlow).2+ years of experience with Programming Language such as C/C++/Java, or Python, etc.Preferred Qualifications:Academic project experience or 2+ year industry experience in at least one or more of the following areas: Applied mathematics, machine learning or Bayesian inference, architecture/systems engineering, information theory.Forward looking attitude, analyze upcoming trends in neural NWs (GNN, GenAI, etc) and techniques.Strong in mathematical statistics, probability theory and Linear algebra related to Machine Learning / Deep Neural NWs.Strong analytical and problem-solving skills.Strong hands-on in Data structures and algorithms.Good understanding of design patterns and design philosophies.Experience in state-of-the-art methods to interpret/analyze data, identify patterns/trends/ insights, and tuning/optimization of models.Working experience in creating versatile tools and frameworks using Python, and knowledge of AWS analytical technologies and related resources (Glue, Athena, QuickSight, SageMaker, etc.)Experience with cloud platforms (e.g., AWS, Azure, Google Cloud), databases, data warehousing, data streaming frameworks (e.g., Apache Kafka/ SQL), containerization technologies and orchestration tools (e.g., Docker, Kubernetes) will be added advantage.Experience in developing and maintain CI/CD pipelines for machine learning models. Model monitoring and retraining.Passion for learning and intellectual curiosity.
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