Qualcomm Principal Engineer Machine Learning Engineering 

United States, Washington, Seattle 

159590115

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

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.

Preferred Qualifications:

• 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 with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.

• 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).

• 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).

• Developed 1+ novel Machine Learning architecture(s).

Principal Duties and Responsibilities:

• Leverages expert Machine Learning knowledge to extend training or runtime frameworks or model efficiency software tools with new features and optimizations.

• Acts a technical expert for modeling, architecture, and developing highly advanced machine learning hardware (co-designed with machine learning software) for inference or training solutions.

• Develops highly critical 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.

• Oversees the development and application of machine learning techniques into products and/or AI solutions to enable customers to do the same.

• Acts as a technical lead for teams developing, adapting, and prototyping machine learning solutions; reviews and helps write proposals or roadmaps for sub-systems of complex products and features.

• Provides technical expertise for experiments that train and evaluate machine learning solutions and communicates progress to key stakeholders.

Level of Responsibility:

• Provides supervision to direct reports.

• Decision-making is critical in nature and highly impacts program, product, or project success.

• Requires 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.

• Develops and administers budgets, schedules, and performance standards for functional area within the prescribed budgetary objectives of the department.

• Has influence over the formulation and achievement of long-term business plans and objectives.

• 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.

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:

$216,000.00 - $324,000.00