3 days ago
Base Salary
$162k - $243k/yr
Responsibilities
- Extend training and runtime machine learning frameworks and model-efficiency tools with new features and optimizations.
- Architect and develop machine learning hardware and co-designed software for inference and training.
- Develop optimized AI software, including machine learning kernels, compiler tools, and model-efficiency tools, to use hardware features.
- Apply machine learning techniques to products and AI solutions and enable customers to use them.
- Prototype and develop novel machine learning solutions aligned with complex product roadmaps.
- Conduct experiments to train and evaluate machine learning models and software.
- Provide guidance to team members and influence decisions beyond the immediate work group.
Requirements
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field plus 4+ years of related experience; alternatively, a master's degree plus 3+ years or a PhD plus 2+ years.
- 5+ years of experience with machine learning frameworks such as TensorFlow, Caffe, Caffe2, PyTorch, or Keras.
- 5+ years of embedded system development and optimization for an ML problem domain such as NLP or multimedia.
- 5+ years of experience with ML-oriented programming languages such as Python, R, C, or C++.
- 5+ years of experience using statistics and probability.
- 3+ years of experience working in a large matrixed organization.
- 2+ years of experience with low-level interactions between operating systems and hardware, including Linux, Android, or QNX.
- Master's degree in Computer Science, Engineering, Information Systems, or a related field is preferred.
- Experience in technical leadership and interaction with senior leadership is preferred.
Benefits
- Competitive annual discretionary bonus program.
- Opportunity for annual RSU grants.
- Competitive benefits package supporting employees at work, at home, and at play.
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.