Join Analog Devices as a Principal Engineer, Machine Learning in Dallas, Texas

Analog Devices, Inc. (NASDAQ: ADI) is a global leader in semiconductors, driving innovations at the Intelligent Edge by bridging the physical and digital worlds. With over $12 billion in revenue for FY22 and approximately 25,000 employees worldwide, ADI is at the forefront of advancements in digitized factories, mobility, digital healthcare, climate change mitigation, and reliable connectivity.

About Maxim Integrated Products, LLC

Maxim Integrated Products, LLC (“Maxim”) is seeking to file an Application for Alien Employment Certification. We invite qualified candidates to apply for the following position:

Position: Principal Engineer, Machine Learning

Location: Dallas, Texas

Job Duties

• Design, train, and port AI models for resource-constrained devices using PyTorch and CUDA-based training hardware.
• Adapt existing AI models and create specialized solutions.
• Develop software in C and optimize digital signal processing algorithms for embedded microcontrollers.
• Design and execute data collection protocols for deep learning across various datasets including computer vision and computer audio.
• Conduct AI research, publish findings, and present at scientific and industry conferences.
• Develop embedded AI accelerators and design custom adaptations of PyTorch and TensorFlow frameworks.
• Collaborate with in-house and customer researchers and engineers to align with corporate goals.
• Lead the creation of novel AI algorithms and their implementation on Analog Devices hardware.
• Partial telecommuting benefit: 2 days work from home.

Job Requirements

PhD in Electrical Engineering (or foreign equivalent) with three (3) years of experience, or a Master's degree with five (5) years of experience in designing and implementing energy-efficient edge AI models. Key skills include:

• Custom deep learning model development for audio, vision, and temporal data using frameworks such as PyTorch, TensorFlow, and Keras.
• Advanced edge AI training techniques including quantization, knowledge distillation, and neural architecture search.
• Deployment and optimization of ML models on edge devices using programming languages like C/C++ and Java, with deployment frameworks including PyTorch Mobile, ONNX Runtime, Arm NN, and CMSIS-NN.
• Authoring academic papers and presenting at academic and industry events in the tiny machine learning domain.
• Developing biomedical algorithms using MATLAB or Python.
• Designing experiments for collecting regulated sensitive data.

**Eligible for Employee Referral Program**

Apply online at and reference Position Number: R241674.

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

Additional Information

Positions requiring access to technical data may need export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Applicants for such positions, except US Citizens, US Permanent Residents, and protected individuals, may need to undergo an export licensing review process.

Equal Opportunity Employer

Analog Devices fosters a culture of equality and inclusion. We provide equal opportunities regardless of race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation.

Job Details

• Job Req Type: Experienced
• Required Travel: No
• Shift Type: 1st Shift/Days