Edge AI ML Compiler Engineer

Qualcomm; New York (NY); On-site; USD 141,000 - 211,000; Full time

Job summary

Qualcomm Technologies, Inc. in New York seeks a Machine Learning Engineer to create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs.

Qualcomm Engineers collaborate with cross-functional teams to enhance mobile, edge, auto, and IoT products through machine learning hardware and software.

Qualifications

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

Responsibilities

• Applies Machine Learning knowledge to assist in extending training or runtime frameworks or model efficiency software tools with new features and optimizations.
• Assists in the modeling, architecture, and development of machine learning hardware (co-designed with machine learning software) for inference or training solutions.
• Assists in the development of 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 team members for joint design and development.
• Assists with the development and application of machine learning techniques into products and/or AI solutions to enable customers to do the same.
• Develops, adapts, or prototypes machine learning algorithms, models, or frameworks in alignment with product roadmap.

Skills

Embedded systems

Python

C/C++

Statistics & probability

Education

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

Master's degree in Computer Science, Engineering, Information Systems, or related field

Tools

TensorFlow

Caffe

Caffe2

PyTorch

Keras

Job description

Qualcomm Technologies, Inc. in New York seeks a Machine Learning Engineer to create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs.

Qualcomm Engineers collaborate with cross-functional teams to enhance mobile, edge, auto, and IoT products through machine learning hardware and software.