1 day ago
Base Salary
$123k - $184k/yr
Responsibilities
- Extend machine-learning training or runtime frameworks and model-efficiency tools with new features and optimizations.
- Model, architect, and develop machine-learning hardware co-designed with software for inference or training solutions.
- Develop optimized machine-learning kernels, compiler tools, and model-efficiency software to enable AI models on hardware.
- Apply machine-learning techniques to products and AI solutions and collaborate on joint hardware/software design and development.
- Prototype and adapt complex machine-learning algorithms, models, and frameworks aligned with product roadmaps.
- Conduct complex experiments to train and evaluate machine-learning models and software independently.
Requirements
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field plus 2+ years of related engineering experience; or a master's degree plus 1+ year; or a PhD in a related field.
- 2+ years of experience with machine-learning frameworks such as TensorFlow, Caffe, Caffe2, PyTorch, or Keras.
- 2+ years of embedded-system development and optimization experience applied to an ML domain such as NLP or multimedia.
- 2+ years of experience with a programming language suitable for machine learning, such as Python, R, C, or C++.
- 2+ years of experience using statistics and probability, such as conditional probability and Bayes' rule.
- 2+ years of experience working in a large matrixed organization.
- 1+ year of experience with low-level interactions between operating systems such as Linux, Android, or QNX and hardware.
- 1+ year of experience interacting with senior leadership, such as directors and above.
- Ability to work independently with minimal supervision and influence decisions beyond the immediate work group.
Benefits
- Annual discretionary bonus program and opportunity for annual RSU grants.
- Competitive benefits package supporting employees at work, at home, and at play.
- US benefits information is available through the provided company link.
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.