Careers

What you'll do

• Design and optimize multimodal deep learning systems for smartglasses and XR devices.
• Prototype state-of-the-art algorithms on desktops and migrate them to Qualcomm SoCs.
• Drive multi-modal network architectures to minimize power consumption in embedded platforms.
• Collaborate with stakeholders to ensure optimal low-power features in hardware designs.
• Develop and deploy deep learning models using PyTorch or TensorFlow for production.

What we're looking for

• Deep understanding of computer vision and machine learning algorithms for real-time interactive systems.
• Hands-on experience with multimodal deep-learning methods including data curation, training, deployment, and optimization.
• Strong coding skills in Python and C++ for production and on-device implementation.
• Experience in optimizing deep learning models (PyTorch/TensorFlow) for low-power embedded platforms.
• Technical leadership in designing and prototyping systems for smartglasses and XR devices.
• Understanding of concurrency constraints to drive multi-modal network architectures for minimal power consumption.
• Communication skills to work with stakeholders, customers, tech teams, and HW design teams.