Nutanix
Sr Engineer, Machine Learning Engineering (ML Apps)
Nutanix, San Diego, California, United States, 92189
Company
Qualcomm Technologies, Inc.
Job Area Engineering Group, Engineering Group > Machine Learning Engineering
General Summary Artificial Intelligence is changing the world for the benefit of human beings and societies. QUALCOMM, as the world's leading mobile computing platform provider, is committed to enable the wide deployment of intelligent solutions on all possible devices – like smart phones, laptops, autonomous vehicles, robotics and IOT devices. Qualcomm is creating building blocks for the intelligent edge.
We are part of Qualcomm AI Research, and we focus on advancing Gen AI Technology for the Edge – including model fine tuning, hardware acceleration, model quantization, edge inference and related fields. Come join us on this exciting journey.
In this particular role, you will work in a dynamic research environment, be 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-device prototype software for cutting-edge AI use cases.
The successful applicant should have a strong theoretical background and proven hands‑on experience with enabling on‑device AI using modern software engineering best practices.
Must have experience and skills
Strong Python and C/C++ design and implementation skills.
Knowledge of deep learning and ML frameworks (i.e. PyTorch).
Strong software design skills with a focus on usability.
Strong analytical, debugging and problem‑solving skills.
Experience in Embedded Software development.
At least 3 years of work experience in a relevant field.
Preferred extra experience and skills
Excellent programming capabilities in Java.
Knowledge of Generative AI (GenAI) technologies.
Knowledge of Android programming is a plus.
Knowledge of neural network model optimization and on‑target deployment is a plus.
Previous experience with Docker, Git and CI/CD.
Knowledge of NPUs / ML accelerators.
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.
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.
Ph.D. in Computer Science, Engineering, Information Systems, or related field.
EEO Statement 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. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able to participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.
Pay range $140,800.00 - $211,200.00
If you would like more information about this role, please contact Qualcomm Careers.
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Job Area Engineering Group, Engineering Group > Machine Learning Engineering
General Summary Artificial Intelligence is changing the world for the benefit of human beings and societies. QUALCOMM, as the world's leading mobile computing platform provider, is committed to enable the wide deployment of intelligent solutions on all possible devices – like smart phones, laptops, autonomous vehicles, robotics and IOT devices. Qualcomm is creating building blocks for the intelligent edge.
We are part of Qualcomm AI Research, and we focus on advancing Gen AI Technology for the Edge – including model fine tuning, hardware acceleration, model quantization, edge inference and related fields. Come join us on this exciting journey.
In this particular role, you will work in a dynamic research environment, be 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-device prototype software for cutting-edge AI use cases.
The successful applicant should have a strong theoretical background and proven hands‑on experience with enabling on‑device AI using modern software engineering best practices.
Must have experience and skills
Strong Python and C/C++ design and implementation skills.
Knowledge of deep learning and ML frameworks (i.e. PyTorch).
Strong software design skills with a focus on usability.
Strong analytical, debugging and problem‑solving skills.
Experience in Embedded Software development.
At least 3 years of work experience in a relevant field.
Preferred extra experience and skills
Excellent programming capabilities in Java.
Knowledge of Generative AI (GenAI) technologies.
Knowledge of Android programming is a plus.
Knowledge of neural network model optimization and on‑target deployment is a plus.
Previous experience with Docker, Git and CI/CD.
Knowledge of NPUs / ML accelerators.
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.
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.
Ph.D. in Computer Science, Engineering, Information Systems, or related field.
EEO Statement 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. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able to participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.
Pay range $140,800.00 - $211,200.00
If you would like more information about this role, please contact Qualcomm Careers.
#J-18808-Ljbffr