Embedded ML Engineer - On-Device AI (C++17)

Qualcomm

Markham

On-site

CAD 105,000 - 155,000

Full time

9 days ago

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Job summary

Qualcomm Canada ULC is seeking an experienced software engineer to advance AI on Hexagon processors. You will develop a modern C++17 library, optimize performance for embedded systems, and build model analysis tools for internal and external customers.

The role involves cross-compiling for Android, embedded Linux, and QNX, addressing product issues, and enabling on-device AI across devices. Ideal candidates have 3+ years of relevant work experience, strong C++17 skills, and familiarity with ML

Qualifications

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
Three or more years of relevant work experience.
Background in mathematical algorithms using fast math libraries and vector instructions sets.
Experience with Hexagon DSP SDK or cross compiler toolchains for embedded systems.
Familiarity with TensorFlow, PyTorch or ONNX.
Experience with tools such as git, Linux, JIRA and Docker.
Knowledge of design patterns.

Responsibilities

Development of modern C++17 software library for Qualcomm Hexagon Processors.
Design and performance tune modern C++17 code for an embedded system.
Development of model analyzing tools for the internal and external customers.
Use cross compiler toolchains for embedded systems such as Android, embedded Linux and QNX.
Address issues found in existing and past Qualcomm AI products.
Implement and optimize modern C++17 machine learning operations on Hexagon Processors.
Debug customer machine learning use cases executing on Qualcomm AI Stack.
Communication across globally diverse team.
Participate in software quality process improvements.