Education: Bachelor's degree or related field
Experience: 5+ years
the opportunity to demonstrate your passion for software design and development through your analytical, design, programming, and debugging skills.
* Develop software for the Qualcomm AI Stack SDKs, specifically QAIRT and Genie, to support the execution of the latest generative AI models on Snapdragon platforms.
* Validate, analyze, and optimize the performance and accuracy of software through detailed testing of machine learning use cases.
* Debug complex issues, perform root cause analysis, and ensure high system reliability
* Collaborate with cross-functional teams to deliver robust, scalable AI software solutions.
* Assist in feature development and application of machine learning techniques into products and AI solutions, enabling customers to do the same.
* Contribute to a culture of technical excellence, knowledge sharing, and continuous improvement within the AI Software team.
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
- Master's degree in Computer Science, Engineering, Information Systems, or related field.
- 5+ years of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras).
- 5+ years of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media).
- 5+ years of experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++)
- 5+ years of experience using statistics and probability (e.g., conditional probability, Bayes rule).
- 3+ years experience working in a large matrixed organization.
- 2+ years of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.
- 1+ year in a technical leadership role with or without direct reports (only applies to positions with direct reports).
- 1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director and above).
- Leverages advanced Machine Learning knowledge to extend training or runtime frameworks or model efficiency software tools with new features and optimizations.
- Models, architects, and develops advanced machine learning hardware (co-designed with machine learning software) for inference or training solutions.
- Develops optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools, etc.) to allow specific hardware features; collaborates with hardware teams for joint design and development.
- Develops and applies machine learning techniques into products and/or AI solutions to enable customers to do the same.
- Develops, adapts, or prototypes novel machine learning solutions aligned with and motivated by proposals or roadmaps for complex products and working features.
- Oversees and conducts experiments to train and evaluate machine learning models and/or software.
- Decision-making is significant in nature and affects work beyond immediate work group.
- Requires verbal and written communication skills to convey complex information. May require negotiation, influence, tact, etc.
- Has a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions).
- Tasks do not have defined steps; planning, problem-solving, and prioritization must occur to complete the tasks effectively.
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