Qualcomm is a global leader in wireless technology, delivering innovative solutions for intelligent computing across mobile devices, IoT, automotive, and telecommunications sectors.
San Diego, CA
Inspired by 250 years of American ingenuity, we build technologies that expand what’s possible. From wireless to AI at scale and 6G, our innovations power progress worldwide.
On-site · Markham
You will develop and optimize high-performance AI software stacks and tools for various hardware platforms including mobile and edge devices. This role involves collaborating with cross-functional teams to implement neural network optimizations and ensure commercial-quality software releases.
On-site · Markham
Develop DSP software applications and use cases for Qualcomm Snapdragon processors. Implement cutting-edge algorithms in machine learning, computer vision, and video processing for mobile and edge devices.
On-site · Markham
The role involves maintaining local server racks and on-site devices while building robust, reliable infrastructure for machine learning development. You will manage GitHub runner fleets, optimize CI/CD pipelines, and innovate on workflow orchestration to improve team productivity.
On-site · Markham
The engineer will own and deliver key aspects of the AI software stack, including developing optimization algorithms and framework enhancements for neural networks. They will also collaborate with cross-functional teams to profile, debug, and enable state-of-the-art AI models on Qualcomm hardware.
On-site · Markham
The role involves developing high-performance software for AI engines and optimizing neural network runtime performance on Qualcomm hardware. You will collaborate with cross-functional teams to deliver AI stack enhancements and support customer use cases.
On-site · Toronto
You will design and develop embedded and cloud edge software solutions while collaborating with cross-functional teams to build tools for firmware development and chip characterization. Responsibilities include full-stack development, building CI/CD systems, and creating automated regression and QA tools to support semiconductor product lines.
On-site · Ottawa
Lead system-level modeling and simulation of high-speed PAM4 communication links for optical and electrical channels. Collaborate with cross-functional teams to develop and validate next-generation Ethernet connectivity solutions for AI and cloud infrastructure.
On-site · Toronto
Perform numerical and analytical modelling of next-generation electrical and optical links exceeding 200Gbps/lane. Collaborate with cross-functional teams to derive component specifications and develop prototypes for AI and infrastructure computing.
On-site · Toronto
Design and refine high-speed DSP SerDes architectures while collaborating with cross-functional teams including RTL and firmware designers. Develop diagnostic tools and performance metrics to ensure silicon validation and continuous design improvement.
On-site · Ottawa
Design, simulate, and test high-speed optical systems for data center applications using PAM4 modulation and Silicon Photonics. Conduct hands-on laboratory measurements and develop DSP algorithms to optimize optical transmission modules.
On-site · Toronto
The engineer will develop and validate industry-leading DSP and mixed-signal SerDes architectures, focusing on clock generation, recovery, and timing synchronization. They will collaborate with cross-functional teams to model system performance, drive model-to-silicon correlation, and optimize verification workflows.
On-site · Markham
You will map machine learning operators to low-level hardware instructions and optimize inference efficiency on Qualcomm's AI accelerators. The role involves co-designing machine learning hardware and developing software tools to enable AI models on embedded platforms.
On-site · Markham
You will develop and optimize high-performance software for AI engines and neural networks on Qualcomm hardware. This role involves collaborating with cross-functional teams to deliver AI stack solutions and improve runtime performance for customer use cases.