1 day ago
Base Salary
$194k - $292k/yr
Responsibilities
- Develop end-to-end embedded AI software to train and fine-tune neural network models on Qualcomm hardware.
- Design and enhance ML/AI software stacks, kernels, and runtime software for improved performance and power efficiency.
- Collaborate with AI processor hardware engineers to implement ML operators and layers that use next-generation processor capabilities.
- Develop debugging and profiling tools and user-friendly SDKs to support rapid customer deployment of AI use cases.
Requirements
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field plus 6+ years of relevant experience; or a master's degree plus 5+ years; or a PhD plus 4+ years.
- At least 5 years of experience with machine learning frameworks and deep learning, including PyTorch.
- At least 5 years of experience with a machine-learning programming language such as Python, C, or C++.
- Strong software design, development, and debugging skills.
- Android programming, algebraic-operation optimization for hardware cores, neural network training, neural network quantization, and Qualcomm QNN SDK experience are preferred or advantageous.
Benefits
- Competitive annual discretionary bonus program and opportunity for annual RSU grants.
- Competitive benefits package supporting employees at work, at home, and at play.
- The posting lists a US pay range of $194,400.00-$291,600.00 and references additional US benefits details.
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.