2 days 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 performance and power efficiency.
- Implement ML operators and layers with the Qualcomm AI Processor Hardware team for next-generation processors.
- Develop debugging and profiling tools and user-friendly SDKs to accelerate customer deployment of new use cases.
Requirements
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field and 6+ years of relevant engineering experience; or a master's degree and 5+ years; or a PhD and 4+ years.
- 5+ years of experience with machine learning frameworks and deep learning, including PyTorch.
- 5+ years of experience with a machine-learning programming language such as Python, C, or C++.
- Strong software design, development, and debugging skills.
- Preferred qualifications include Android programming, algebraic operation optimization for hardware cores, neural network training and quantization, and Qualcomm QNN SDK experience.
Benefits
- Annual discretionary bonus program and opportunity for annual RSU grants.
- Competitive benefits package supporting employees at work, at home, and at play.
- Annual base pay range of $194,400.00–$291,600.00 is stated in the posting.
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.