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What You'll Do
- Explore new AI model architectures to run optimally on an edge compute with memory constraints.
- Drive breakthroughs by converting ANN models (such as CNNs and Transformers) to those that operate efficiently with reduced memory using paradigms like SNN, SSM, sparsity, or RNN Support proof of concept advancing model retraining, optimization, and compression Ideal Profile PhD Intern in electrical engineering, computer engineering, computer science, or a related field.
- Deep understanding in AI model architecture, ANN/SNN/ SSM /Sparsity Vast knowledge in Edge AI model Compression, Optimization, and Compilation Proficient with multiple frameworks, including Snntorch, PyTorch, TVM, TensorFlow, CUDA, C/C++, and Python Familiar with analog compute, in-memory compute, sparse compute, and neuromorphic systems.
- Strong analytical mindset with the ability to balance performance, power, and memory tradeoffs.
- Experience with the physical world, including vision, 3D point clouds, tactile, audio – Advantage Available for co-op position June 2026 - December 2026 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.
- 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: Internship/Cooperative Required Travel: No The expected wage range for a new hire into this position is $22 to $41.
- Actual wage offered may vary depending on work location , experience, education, training, external market data, internal pay equity, or other bona fide factors.
Sourced directly from Analog Devices’s career page
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Specialisation
Open roles at Analog Devices
938 positions
Job ID
/job/US-MA-Boston/AI-ML-Researcher-Intern_R257656
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