Engineer, Machine Learning (On-Device Software)

Qualcomm; San Diego (CA); On-site; USD 123,000 - 184,000; Full time

Job summary

Qualcomm AI Research is seeking talented AI software engineers to enable AI technologies on edge devices. You will join a high-caliber team building GenAI solutions, optimizing models for Qualcomm AI accelerator engines, and deploying on-device solutions with optimized power, memory, and computation.

Collaborate across hardware, software and systems for real-world devices. You will work on end-to-end embedded AI software, ML operators, and development tools to accelerate rapid deployment of new

Qualifications

• Bachelor's degree in CS/Engineering or related field.
• Experience with AI software on embedded hardware.
• Strong knowledge of ML frameworks (e.g., PyTorch).

Responsibilities

• Development of end-to-end embedded AI software to train and finetune neural network models on Qualcomm hardware.
• Design and enhance the ML/AI software stack, kernels, and runtime for performance and power efficiency.
• Collaborate with AI Processor Hardware team to implement ML operators/layers for next-gen AI processors.
• Develop debugging and profiling tools and SDKs for customer deployments.

Skills

C/C++

Python

PyTorch

Software design

Android programming

Neural network training

Quantization

QNN SDK

Education

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

Tools

QNN SDK

Job description

Company

Qualcomm Technologies, Inc.

Job Area

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary

Qualcomm AI Research is looking for talented AI software engineers to enable AI technologies on edge devices. This is your opportunity to join a high-caliber team of engineers, building best-in-class GenAI solutions with model optimization tools to deploy state-of-the-art models to edge devices with optimal power, memory, and computation use. In this role, you will be part of a multi-disciplinary team that has continually enabled first-of-its-kind and competitive generative AI models on Qualcomm AI accelerator engines, such as the world’s first on device text-to-image generation with stable diffusion, and text-to-text with 7B large language model on device. You will collaborate in a cross-functional environment spanning hardware, software and systems and see your design in action on industry-leading chips embedded in the next generation of intelligent devices, such as smartphones, autonomous vehicles, robotics, and IOT devices.

Responsibilities

• Development of end-to-end embedded AI software to train and finetune neural network models on Qualcomm leading edge hardware with optimal resources.
• Design and enhance the implementation of ML/AI SW stack, kernels, and runtime software to improve performance and power efficiency.
• Collaborating with our AI Processor Hardware team to implement high-quality solutions for new ML operators/layers that optimally utilize new capabilities in next-gen AI processors.
• Development of debugging/profiling tools and user-friendly SDKs for customers to foster rapid deployment of their new use cases.

Minimum Qualifications

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

Preferred Qualifications

• 1 years of work experience in a relevant field.
• Excellent programming capabilities with C/C++ and Python.
• Knowledge of deep learning and ML frameworks ( i.e. PyTorch ).
• Strong software design, development, and debugging skills.
• Knowledge of Android programming is plus.
• Optimization of algebraic operations in algorithms for HW cores is a plus.
• Knowledge in neural network model training is a big plus.
• Knowledge in neural network model quantization is a big plus.
• Experience with Qualcomm QNN SDK is a big plus.

Disability Accommodation

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [e-mail] or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

Policy & Compliance

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.

EEO Employer

Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

Pay Range And Other Compensation & Benefits

$122,800.00 - $184,200.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. You can review more details about our US benefits at this link.