Sr Staff Engineer, AI/Machine Learning (Autonomous Driving)

Qualcomm; Markham; On-site; CAD 90,000 - 130,000; Full time

Job summary

A leading company in connectivity and AI is seeking a Machine Learning Engineer to develop embedded AI solutions. The role involves creating software stacks for neural networks and optimizing performance on Qualcomm hardware. Ideal candidates will have a strong background in programming and systems engineering, with experience in AI and machine learning.

Qualifications

• 6+ years of experience in Hardware, Software, or Systems Engineering.
• Experience with compiler design and development is a plus.

Responsibilities

• Develop end-2-end embedded AI software stack for neural network models.
• Design and enhance ML/AI compilers and runtime software.
• Collaborate with AI Processor Hardware team for new ML operators.

Skills

Programming

Software Design

Debugging

Education

Bachelor's in Computer Science

Master's in Computer Science

PhD in Computer Science

Tools

C/C++

Linux

Android

Job description

Company:

Qualcomm Canada ULC

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in.

Today, more intelligence is moving to end devices, and mobile is becoming the pervasive AI platform. Building on the smartphone foundation and the scale of mobile, Qualcomm envisions making AI ubiquitous - expanding beyond mobile and powering other end devices, machines, vehicles, and things. We are inventing, developing, and commercializing power-efficient on-device AI, edge cloud AI, and 5G to make this a reality.

AI Processor System software team is looking for talented and passionate engineers to develop and deliver novel embedded AI solutions to enable state-of-the-art AI models on auto platforms for millions of end users.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Responsibilities:

• Development of end-2-end embedded AI SW stack to run neural network models on Qualcomm leading edge hardware with optimal resource usage
• Design and enhance the implementation of ML/AI compilers, kernels, and runtime software to improve performance and power efficiency
• Collaborating with AI Processor Hardware team and high quality implementation of new ML operators/layers to optimal utilizing new capabilities in next-gen AI processor
• Development of debugging/profiling tools and user-friendly SDK for customers to rapid deployment of their new use cases
• Challenging the status quo and driving innovations to be the best-of-class

Preferred Skills and Experience:

• Excellent programming capability with low level C/C++
• Strong software design, development, and debugging skills
• Optimized Linux, Android, or embedded software development experience
• Optimization of algebraic operations in algorithms for HW cores
• Experience on compiler design and development is a big plus
• Knowledge on deep learning and popular frameworks is an asset

Applicants: 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] call Qualcomm's toll-free number foundhere. 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).

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