Qualcomm
Senior Computer Vision Software Engineer
$118K–$177K
San Diego, California · On-site · Senior · Full-time · Posted Oct 29, 2026
- Experience
- Bachelor's: 2+ years of Software Engineering or related work experience; master's: 1+ year; PhD: no years stated. Separately, 2+ years of academic or work experience with a programming language.
- Education
- Bachelor's, master's, or PhD in Engineering, Information Systems, Computer Science, or a related field.
About the job
Designs, implements, integrates, and validates computer vision and image-processing APIs and pipelines on Qualcomm SoCs, from development through commercialization and customer support.
What you'll do
- Design and implement vision and image-processing APIs and pipelines on Qualcomm SoCs and platforms.
- Collaborate with software, firmware, and hardware teams to define specifications, own feature design and implementation, and integrate and validate software in larger systems.
- Work with internal clients, OEMs, Tier-1s, and ISVs to implement solutions using Qualcomm Computer Vision offerings.
What they ask for
- Hands-on software design and development experience on complex embedded computing platforms.
- Strong programming experience in C/C++/Python/STL and experience debugging complex embedded software with version-based tools.
- Knowledge of machine learning, image processing, and computer vision, or API/SDK development; operating-system knowledge and computer-architecture project experience.
- Bachelor's degree in a relevant field plus 2+ years of related work experience; or a relevant master's degree plus 1+ year; or a relevant PhD. Also requires 2+ years of academic or work experience with a programming language such as C, C++, Java, or Python.
Nice to have
- Embedded system software development experience including kernels, device drivers, and board-support packages.
- Previous project GitHub link, if available.
Pay
$117,800.00 - $176,600.00 USD base salary
Tools
C/C++/Python/STL, C, C++, Java, Python, Qualcomm SoCs
AI focus
The role involves computer vision and image processing, including machine-learning knowledge, to develop visual analytics APIs and pipelines.
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