Careers
Quick summary
- Work type
- On-site
- Location
- San Diego, CA
- Posted
- 41 days ago
- Nearby
- 99+ roles within 25 mi
Market check
Salary context
How this pay compares to similar roles
This listing doesn't post a salary. Most similar roles pay $152,075–$208,800.
Based on 239 similar postings.
Employer
About Qualcomm
Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.
Qualcomm currently has 660 open roles on FindRole.
Listed pay typically runs $154,000–$231,000 across 429 roles with salary data.
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At a glance
TL;DR · Careers
As a Computer Vision Solutions Engineer at Qualcomm's Computer Vision Systems team, you will play a pivotal role in shaping the future of on-device vision processing by leading the design and implementation of advanced computer vision features using Snapdragon Vision API. Your responsibilities include supporting engineering teams in integrating CV APIs for commercial products, developing comprehensive technical documentation, and collaborating closely with cross-functional teams to ensure successful productization. Ideal candidates possess experience with libraries such as OpenCV, TensorFlow, and PyTorch, along with a strong background in embedded systems and hardware CV accelerators, ensuring they can deliver cutting-edge solutions that meet stringent KPI targets.
Skills
What you'll do
- Lead the design and implementation of computer vision features using Snapdragon Vision API.
- Support engineering teams in integrating CV APIs for commercial products.
- Develop technical documentation and sample materials for end-application developers.
- Ensure project deliverables meet schedule expectations and KPI targets.
- Identify and address risks proactively throughout feature prototyping and commercialization.
What we're looking for
- Bachelor’s degree in Computer Science, Electrical Engineering, or related field required.
- Experience with computer vision and machine learning libraries like OpenCV, TensorFlow, PyTorch.
- Working knowledge of embedded systems and hardware CV accelerators.
- Ability to lead design and implementation of CV features using Snapdragon Vision API.
- Develop high-quality technical documentation for end-application developers.
- Collaborate effectively in a fast-paced, cross-functional environment.
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