Machine Learning Compiler

Company: Qualcomm Technologies, Inc.

Job Area: Engineering Group > Machine Learning Engineering

General Summary

As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state-of-the-art machine learning solutions across a broad set of technology verticals or designs. Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IoT products through machine learning hardware and software.

Minimum Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.

Preferred Qualifications

• Master's degree in Computer Science, Engineering, Information Systems, or related field.
• 1+ year of experience with machine learning frameworks (e.g., TensorFlow, Caffe, Caffe2, PyTorch, Keras).
• 1+ year of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multimedia).
• 1+ year of experience with one or more programming languages suitable for machine learning (e.g., Python, R, C, C++).
• 1+ year of experience using statistics and probability (e.g., conditional probability, Bayes’ rule).
• 1+ year of experience working in a large matrixed organization.
• 6+ months of experience with low-level interactions between operating systems (e.g., Linux, Android, QNX) and hardware.

Principal Duties and Responsibilities

• Apply machine learning knowledge to extend training or runtime frameworks, or model-efficiency software tools, with new features and optimizations.
• Assist in the modeling, architecture, and development of machine learning hardware (co-designed with machine learning software) for inference or training solutions.
• Develop optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools) to support specific hardware features; collaborate on joint design and development.
• Assist with the development and application of machine learning techniques into products and/or AI solutions to enable customers to do the same.
• Develop, adapt, or prototype machine learning algorithms, models, or frameworks in alignment with the product roadmap.

Level of Responsibility

• Works under supervision.
• Decision-making affects the direct area of work and/or work group.
• Requires verbal and written communication skills to convey basic, routine factual information.
• Tasks consist of a limited number of steps and can be referenced using directions or manuals.

Pay Range and Other Compensation & Benefits

Pay range: $140,800.00 - $211,200.00

The pay scale reflects the broad minimum-to-maximum range for this job code for the posted location. Total compensation may include a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for the annual bonus). A competitive benefits package is also provided.