Analog Devices is looking to advance its AI technologies for deployment on its hardware platforms by developing AI models that integrate digital signal processing (DSP) pipelines with neural networks.
Requirements
- Strong understanding of digital signal processing and its application to AI models.
- Good understanding of neural networks (e.g., transformers, multimodal models, etc.)
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and model optimization techniques.
Responsibilities
- Design and optimize AI architectures that effectively integrate DSP pipelines with neural networks.
- Participate in all phases of our ultra-applied projects: ideation through to production.
- Collaborate with cross-functional teams to implement AI solutions tailored for various applications.
- Prototype and evaluate machine learning models to meet specific performance and application requirements.
- Stay to date and share advancements in AI and DSP research.
Other
- Master's degree or equivalent experience.
- 2+ years of industry experience in AI, machine learning, or related areas.
- Ability to work collaboratively with multidisciplinary teams and communicate technical concepts effectively.
- Required Travel: Yes, 10% of the time
- Shift Type: 1st Shift/Days
