1 day ago
Markham, CanadaEntry Level
Base Salary
$105k - $155k/yr
Responsibilities
- Research, develop, and optimize AI and machine learning algorithms for Qualcomm Snapdragon platforms.
- Build reference applications demonstrating Snapdragon AI capabilities across mobile, edge, XR, and IoT devices.
- Evaluate hardware and software trade-offs to optimize performance, power efficiency, and user experience.
- Support implementation, optimization, and commercialization of AI algorithms and applications on Snapdragon devices.
- Stay current with advances in artificial intelligence, machine learning, and foundation models.
Requirements
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
- Strong background in machine learning algorithms, computer vision, multimodal AI, agentic AI, or related fields.
- Proficiency with modern machine learning frameworks such as PyTorch or TensorFlow.
- Strong software development skills in Python and/or C++.
- Familiarity with embedded development, operating systems concepts, and software development principles.
- Preferred: master's or PhD degree with 0–2 years of relevant professional experience or publications in machine learning, agentic AI, computer vision, video or image processing, NLP, or audio or speech processing.
- Preferred: experience developing and deploying AI solutions in real-world applications and translating algorithms into software for edge devices.
Benefits
- Annual discretionary bonus program and opportunity for annual RSU grants.
- Competitive benefits package supporting employees at work, at home, and at play.
Categories
About Qualcomm
Qualcomm is a public semiconductor company headquartered in San Diego, founded in 1985, that designs and sells wireless chipsets and platforms for mobile devices, automotive, IoT, and networking, notably the Snapdragon application processors and 5G modems. It also licenses a large portfolio of cellular patents to device makers, generating revenue alongside chip sales; its technology underpins many Android smartphones and emerging automotive and edge-compute systems, and it trades on NASDAQ as QCOM.