Sr Engineer, Machine Learning (On-Device Software)

Qualcomm; San Diego (CA); On-site; USD 140,800 - 211,200; Full time

Benefits offered by this job

Annual discretionary bonus

RSU grants

Competitive benefits package

Job summary

Qualcomm is seeking AI software engineers for their AI Research division in San Diego. The role involves developing cutting-edge software for generative AI models on edge devices with a focus on performance optimization.

Successful candidates will collaborate across disciplines, engaging in projects with Qualcomm’s advanced hardware. A Bachelor's degree in Computer Science or related field, coupled with relevant experience, is required. The position offers competitive pay and robust benefits.

Qualifications

• 2+ years of relevant engineering experience.
• Experience with machine learning frameworks preferred.
• Strong debugging skills and software optimization knowledge.

Responsibilities

• Develop embedded AI software for Qualcomm hardware.
• Enhance ML/AI software stack for better efficiency.
• Collaborate with hardware team for optimal solutions.
• Create tools and SDKs for user-friendly deployment.

Skills

C/C++ programming

Python

Deep learning frameworks

Software design

Machine Learning knowledge

Education

Bachelor's degree in Computer Science or related field

Master's degree in Computer Science or related field

PhD in Computer Science or related field

Tools

PyTorch

Qualcomm QNN SDK

Job description

Company

Qualcomm Technologies, Inc.

Job Area

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 and 2+ 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 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• PhD in Computer Science, Engineering, Information Systems, or related field.

Preferred Qualifications

• At least 3 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 a 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.

Pay range and Other Compensation & Benefits

$140,800.00 - $211,200.00. 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. Salary is only one component of total compensation. Qualcomm also offers a competitive annual discretionary bonus program and opportunity for annual RSU grants. In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play.

Equal Opportunity 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.

Additional Information

If you would like more information about this role, please contact Qualcomm Careers.