Computer Vision Systems Engineer
Technology, Data & Digital · Software & Web Development · Software Engineering · Machine Learning · Systems Engineering
In short
Qualcomm is seeking a Computer Vision Systems Engineer to design and implement computer vision features and on-device prototyping using the Snapdragon Vision API. This role involves collaborating with cross-functional teams to deliver cutting-edge CV experiences on advanced hardware, reaching billions of users.
Responsibilities
- Lead the design and implementation of computer vision features and on-device prototyping using the Snapdragon Vision API solution.
- Support engineering teams in building, integrating, and deploying CV APIs for commercial products.
- Develop clear and thorough technical documentation, diagrams, and sample materials that showcase the capabilities of the Snapdragon Vision API for end-application developers.
- Ensure deliverables meet schedule expectations and KPI targets, proactively identifying and addressing risks.
- Collaborate closely with system, software, hardware, and product teams throughout CV feature prototyping and commercialization.
- Contribute effectively in a fast-paced, highly collaborative environment with distributed cross-functional teams.
Requirements
- Bachelor's degree in Computer or Electrical Engineering, Computer Science, or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
- Master's degree in Computer or Electrical Engineering, Computer Science, or related field and 3+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
- PhD in Computer or Electrical Engineering, Computer Science, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
- Strong understanding of CV concepts, algorithms, and deep-learning-based vision pipelines, with a track record of delivering commercial CV solutions.
- 3–5 years of hands-on experience developing computer vision applications or libraries.
- Proficiency in designing and implementing products using vision APIs, following established standards and best practices.
- Strong coding and debugging skills in C/C++ and Python, with the ability to rapidly prototype and evaluate CV features on device.
Desired Qualifications
- Master’s or PhD in Computer Science, Electrical Engineering, or a related discipline.
- Experience with CV and ML libraries such as OpenCV, TensorFlow, and PyTorch (TorchVision), including image processing and deep learning workflows.
- Working knowledge of embedded systems and architectures, especially hardware CV accelerators.
- Experience producing high-quality API documentation and technical materials.
- Familiarity with commercial software development practices and SDLC methodologies.
Benefits
- Competitive annual discretionary bonus program.
- Opportunity for annual RSU grants.
- Highly competitive benefits package designed to support your success at work, at home, and at play.
Skills
C++PythonOpenCVTensorFlowPyTorch
#Computer Vision#Systems Engineering#Software Engineering#Hardware Engineering#API#Machine Learning#Deep Learning#Image Processing#Embedded Systems
About Qualcomm
Enabling a world where everyone and everything can be intelligently connected.
Enabling a world where everyone and everything can be intelligently connected.\n\n
Company
QualcommJob Posted
2 weeks ago
Employment Type
Full Time
Work mode
On Site
Salary
US$155,400–233,200 / year
Experience Level
Mid-Senior
Locations
San Diego, United States of America
Qualification
Bachelor, Master, Doctoral
Applicants
Be an early applicant
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