2 days ago
Markham, CanadaStaff+
Responsibilities
- Own and deliver key components of the Qualcomm AI software stack.
- Develop optimization algorithms for machine-learning operators and layers.
- Enhance AI software frameworks for efficient resource usage on Qualcomm hardware.
- Develop profiling and debugging tools for rapid neural-network deployment.
- Evaluate and optimize neural-network runtime performance and accuracy.
- Work with customer teams to enable network models and AI software features for customer use cases.
- Collaborate with AI hardware and architecture teams to improve Qualcomm AI solutions.
- Coordinate development across teams and contribute to commercial-quality software releases and software quality improvements.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field plus 6+ years of relevant experience; alternatively, a master’s degree plus 5+ years or a PhD plus 4+ years.
- 6+ years of industry experience is listed for the ideal candidate.
- Strong software development, programming, analytical, development, and debugging skills.
- Professional experience with C/C++ and Python, including C++ work experience.
- Experience optimizing algorithms for hardware acceleration cores using OpenCL, OpenGL ES, and/or DSPs.
- Experience with Python NumPy and deep-learning frameworks such as TensorFlow and PyTorch.
- Knowledge of linear algebra, fast math libraries, multithreading, and vector instruction sets.
- Android or embedded Linux software development experience is preferred.
- Strong communication, collaboration, learning, and idea-development skills.
Categories
About Qualcomm
Qualcomm is a public semiconductor company headquartered in San Diego, founded in 1985, that designs and sells wireless chipsets and platforms for mobile devices, automotive, IoT, and networking, notably the Snapdragon application processors and 5G modems. It also licenses a large portfolio of cellular patents to device makers, generating revenue alongside chip sales; its technology underpins many Android smartphones and emerging automotive and edge-compute systems, and it trades on NASDAQ as QCOM.