Principal Engineer, Machine Learning

Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $12 billion in FY22 and approximately 25,000 people globally working alongside 125,000 global customers, ADI ensures today’s innovators stay Ahead of What’s Possible.

Maxim Integrated Products, LLC (“Maxim”) is filing an Application for Alien Employment Certification for the below described job description:

Position: Principal Engineer, Machine Learning (Dallas, Texas)

Duties: Design, train, and port Artificial Intelligence (“AI”) models for resource-constrained devices using the PyTorch framework and CUDA-based training hardware. Adapt existing models and devise specialized solutions as needed. Develop software in C and optimize digital signal processing algorithms for resource-constrained embedded microcontrollers. Design and execute protocols for data collection for deep learning, and apply collected datasets, including computer vision, computer audio, and condition-based monitoring of machines. Conduct research on novel aspects of AI, submit them for publication in scientific papers, and present research internally and/or publicly in scientific and industry conferences. Develop embedded AI accelerators through deep learning and machine learning (“ML”), and design and implementation of custom adaptations of the PyTorch and TensorFlow public machine learning frameworks. Collaborate with in-house and customer researchers and engineers to align with corporate business goals. Lead or contribute to creating novel algorithms and models, as well as implementing algorithms on current or future Analog Devices hardware, including efforts to optimize hardware design. Partial telecommute benefit (2 days WFH).

Requirements: PhD degree in Electrical Engineering (willing to accept foreign education equivalent) plus three (3) years of experience in experience designing and implementing energy-efficient edge AI models and publications in this field, or, alternatively, a Master's degree in Electrical Engineering (willing to accept foreign education equivalent) and five (5) years of experience designing and implementing energy-efficient edge AI models and publications in this field. Specific skills/other requirements - Must also possess the following (quantitative experience requirements not applicable to this section): Demonstrated expertise (DE) designing and implementing custom deep learning models for audio, vision, and temporal data on resource-constrained devices using frameworks such as PyTorch, TensorFlow, and Keras; DE developing and implementing advanced edge AI training techniques, e.g., quantization, knowledge distillation, and neural architecture search for MAX7800X embedded architecture; DE deploying and optimizing Machine Learning models to edge devices, leveraging programming languages like C/C++ and Java, and utilizing deployment frameworks including PyTorch Mobile, ONNX Runtime, Arm NN, and CMSIS-NN; DE pioneering edge AI research, authoring academic papers in the tiny machine learning domain, and presenting findings at relevant academic and industry events; DE developing and implementing biomedical algorithms using MATLAB or Python; and DE designing experiments for the collection of regulated sensitive data. Eligible for Employee Referral Program. Apply online at https://www.analog.com/en/about-adi/careers.html and Reference Position Number: R241674.

Salary: $184,000.00 - $276,000.00/year

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

EEO is the Law: Notice of Applicant Rights Under the Law.

Job Req Type: Experienced

Required Travel: No

Shift Type: 1st Shift/Days