1 month ago
Base Salary
$158k - $238k/yr
Responsibilities
- Extend machine-learning training and runtime frameworks and model-efficiency software tools with new features and optimizations.
- Model, architect, and develop machine-learning hardware co-designed with machine-learning software for inference and training.
- Develop optimized software, machine-learning kernels, compiler tools, and model-efficiency tools that enable AI models to use specific hardware features.
- Develop, adapt, and prototype machine-learning solutions for complex products and roadmaps.
- Apply machine-learning techniques to products and AI solutions and collaborate with hardware teams on joint design and development.
- Oversee and conduct experiments to train and evaluate machine-learning models and software.
- Work independently on complex tasks, guide other 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 relevant engineering experience; or a master’s degree plus 3+ years; or a PhD plus 2+ years.
- Preferred: master’s degree in Computer Science, Engineering, Information Systems, or a related field.
- Preferred: 5+ years with machine-learning frameworks such as TensorFlow, Caffe, Caffe2, PyTorch, or Keras.
- Preferred: 5+ years of embedded-system development and optimization applied to an ML domain such as NLP or multimedia.
- Preferred: 5+ years using programming languages suitable for ML, including Python, R, C, or C++.
- Preferred: 5+ years using statistics and probability, 3+ years in a large matrixed organization, and 2+ years interacting at a low level between operating systems and hardware.
- Preferred: at least 1 year in a technical leadership role and at least 1 year interacting with senior leadership.
Benefits
- Competitive benefits package designed to support 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.