Role Overview
Qualcomm is hiring a Senior Engineer, Machine Learning Engineering. This is a full-time role in Markham. posted 6 days ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job description
About the position
AI is revolutionizing how we solve complex, cross-domain challenges—and Generative AI (GenAI) and Agentic AI is at the forefront of this transformation. As part of the AI Software team, you will contribute to the development of the Qualcomm AI Engine Direct, empowering OEMs and developers to deploy advanced deep neural networks (DNNs) on cutting-edge Qualcomm Hexagon Processors.
In this role, your focus will be on integrating GenAI and Agentic AI capabilities into our on-device AI stack, enabling real-time, high-performance inference across diverse platforms—from smartphones and automotive systems to smart appliances. You will collaborate with OEMs and developers to optimize GenAI-powered models for the Qualcomm AI Stack, ensuring seamless deployment and scalability.
Join us to shape the future of intelligent devices powered by GenAI—where your work will directly impact how users interact with technology in their daily lives. Replacement Position.
Responsibilities
- Design and implement high-performance software solutions that extend GenAI capabilities across customer use cases.
- Optimize GenAI model execution on-device, leveraging Hexagon DSPs for efficient inference and minimal latency.
- Collaborate with cross-functional teams to integrate GenAI features.
- Contribute to the development of GenAI-enhanced workflows for chip design and system optimization.
- 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, Windows on Snapdragon and QNX
- Address issues found in existing and past Qualcomm AI products
- Implement and optimize modern C++17 machine learning operations on Hexagon Processors
- Communication across globally diverse team
- Participate in software quality process improvements
Requirements
- 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.
Nice-to-haves
- Three or more years of relevant work experience
- Experience with modern C++17 language features
- Background in mathematical algorithms using fast math libraries and vector instructions sets
- Practical experience with developing middleware or firmware software
- Experience with multitasking and multithreading driver development
- Experience with Hexagon DSP SDK or cross compiler toolchains for embedded systems and JIT technologies
- Experience with different NN architectures DNNs, CNNs, RNNs/LSTMs, GANs, LLMs, etc.
- Experience with low level interactions between operating systems and hardware.
- Experience with Qualcomm FastRPC and Windows MCDM drivers
- Experience using/integrating Qualcomm AI Stack products (e.g. QNN, SNPE, QAIRT)
- Familiarity with TensorFlow, PyTorch or ONNX
- Experience with tools such as git, Linux, JIRA and Docker
- Knowledge of object oriented programming design patterns
- Ability to collaborate across a globally diverse team
- Master's degree in Computer Science, Computer Engineering, or Electrical Engineering
Benefits
- competitive annual discretionary bonus program
- opportunity for annual RSU grants
- highly competitive benefits package
About Qualcomm
Qualcomm
qualcomm.com
Frequently Asked Questions
How do I apply for the Senior Engineer, Machine Learning Engineering position at Qualcomm?
Use the Apply button above to submit your application directly to Qualcomm. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Senior Engineer, Machine Learning Engineering position at Qualcomm located?
This position is based in Markham. Qualcomm has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Senior Engineer, Machine Learning Engineering at Qualcomm earn?
Qualcomm has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Senior Engineer, Machine Learning Engineering role at Qualcomm posted?
This role was posted on July 16, 2026 (6 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
How much experience does the Senior Engineer, Machine Learning Engineering role at Qualcomm require?
This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. Qualcomm lists their specific requirements in the description below, so review the must-have qualifications closely before applying.
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