Join Qualcomm XR Labs in San Diego as a senior engineer on our perception team, focusing on developing low-power SoCs for smartglasses and XR devices. You will lead the design and optimization of multimodal deep-learning systems that integrate audio, video, user interaction, and personalization to deliver real-time, interactive experiences with minimal power consumption. Your daily tasks include understanding state-of-the-art algorithms, prototyping on desktops, and migrating models to Qualcomm SoCs while collaborating closely with hardware teams and stakeholders to ensure optimal system architectures. Ideal candidates have hands-on experience with deep learning frameworks like PyTorch or TensorFlow, strong coding skills in Python and C++, and expertise in multimodal machine learning systems for embedded platforms. This role offers the opportunity to work on cutting-edge technology that will power future generations of smart glasses and AR/VR devices.
Skills
PyTorch
TensorFlow
Python
C++
Multimodal LLMs
VLM systems
Quantization
Acceleration
Profiling
Mobile platforms
Embedded systems
Real-time computer graphics
Object-oriented design principles
Deep learning models
Multimodal ML
Audio processing
Speech recognition
Video processing
User interaction
Personalization
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.
Market check
Salary context
This
$158,400–$237,600
range sits above
40%
of similar postings on FindRole.
Peer median band
$168,000–$262,400
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$179,851–$252,625
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Qualcomm
Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.
Qualcomm currently has
595 open roles
on FindRole.
Listed pay typically runs
$148,300–$222,500
across 540 roles with salary data.