Qualcomm Principal Engineer Machine Learning Engineering 

United States, California, San Diego 

467692669

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

AIMET is an open-source library for optimizing trained neural network models, providing advanced model compression and quantization techniques to shrink models while maintaining task accuracy. Smaller models translate into improved run-time performance and lower latency as well lower compute, memory, and power consumption.

AIMET’s advanced model compression and quantization algorithms can be incorporated into PyTorch and TensorFlow model-building pipelines for automated post-training optimization and for model fine-tuning. Automating these algorithms helps eliminate the need for hand-optimizing neural networks that can be time-consuming, error-prone, and difficult to repeat.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 8+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Master's degree in Computer Science, Engineering, Information Systems, or related field and 7+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

PhD in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Responsibilities

• Oversee the development, commercialization, and application of machine learning quantization techniques into products and solutions to enable customers to do the same.

• Act as a technical lead for teams developing, adapting, and prototyping quantization solutions; review and helps write proposals or roadmaps for sub-systems of complex products and features. Provide supervision to direct reports.

• Provide technical expertise for experiments that train and evaluate optimization solutions and communicate progress to key stakeholders. Decision-making is critical in nature and highly impacts program, product, or project success.

• Develop and administers, schedules, and performance standards for functional area within the prescribed objectives of the department. Has influence over the formulation and achievement of long-term business plans and objectives.

• Develop & test software that includes applying algorithms for compression, quantization and neural architecture search to run efficiently on edge devices.

• Collaborate and coordinate feature development across internal teams spanning AI Research, Software Development, Test, and Customer Engineering teams.

• Optimize models for performance and accuracy by applying post-training and training-time techniques and release them to customers and public users

• Tasks often require multiple steps which can be performed in various orders; extensive planning, problem-solving, and prioritization must occur to complete the tasks effectively.

Ideal candidates for this position will demonstrate the following:

• Solid understanding of machine learning technologies. Hand-on experience in design/implementation/training of deep learning networks via PyTorch or TensorFlow.

• Strong interest in learning about the latest emerging AI models and architectures and to accelerate their deployment using Qualcomm’s solutions.

• Hands-on experience with model quantization and/or compression algorithms and techniques.

• 3-5+ years' programming experience using Python & C/C++. Strong programming fundamentals.

• Object oriented design and development skills

• Strong verbal and written communication skills to convey highly complex and/or detailed information. May require strong negotiation and influence with large groups or high-level constituents.

• Ability to quickly learn new technologies and work on resolving priority customer issues during product development cycles.

• Debugging and analysis skills, for root causing complex issues

• Experience with Source Code and Configuration management tools, such as Git

• Experience with enhancements to Training Frameworks and/or backends for PyTorch or Tensorflow

Preferred Qualifications

• Experience and understanding of a range of NN architectures include DNNs, CNNs, RNNs/LSTMs, GANs, Diffusion Models, GenAI, etc...

• 5+ years of experience with Machine Learning frameworks (e.g., Tensor Flow, PyTorch, Caffe, Keras, etc…).

• 4+ years in a technical leadership role with or without direct reports (only applies to positions with direct reports).

• 4+ years experience working in a large matrixed organization.

• 3+ years of work experience in a role requiring interaction with senior leadership (e.g., Sr. Director and above).Experience of profiling software and optimization techniques.

• Understanding of linear algebra for ML.

• Experience with Android or other embedded platforms

• Linux software development

• Ability to collaborate across a globally diverse team and multiple interests

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range:

$191,500.00 - $287,500.00