Api Engineer Jobs in San Diego, CA

Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > Video Systems, HW Architecture

General Summary:

Qualcomm Computer Vision Systems group provides Vision IP solutions for all of Qualcomm’s Snapdragon processors including mobile, automotive and VR/AR. The team’s scope includes computer vision algorithms, architecture design for CV accelerators and hardware modeling with power and performance optimization.

We seek a Vision API solution architect with demonstrable expertise, hands-on experience and a proven track record of developing and commercializing Computer Vision applications, libraries and SDKs. Familiarity with CV HW accelerators is beneficial although not mandatory.

The selected candidate, along with his/her colleagues and other team members, will have responsibilities in one or more of the following areas:

• Drive the overall design & Implement Computer Vision APIs as part of the Snapdragon Vision API Suite.
• Guide development teams in developing and deploying Computer Vision APIs and API-based applications commercially.
• Create comprehensive technical documentation, diagrams, and examples outlining the APIs and highlighting the benefits to end applications.
• Ensure solutions meet project timelines and KPI standards, while mitigating and addressing any potential schedule risks.
• Collaborate with systems, software, hardware, and product teams at various stages of API design/validation/commercialization.
• Working within a fast-paced & collaborative environment with geographically & functionally distributed teams.

Minimum Qualifications:

Bachelor's degree in Computer or Electrical Engineering, Computer Science, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.

OR

Master's degree in Computer or Electrical Engineering, Computer Science, or related field and 1+ year of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.

OR

PhD in Computer or Electrical Engineering, Computer Science, or related field.

Required Skills

- A minimum of 3-5 years of hands-on experience in a technical role focused on computer-vision applications and/or library development.
- The candidate must demonstrate a deep understanding of computer vision concepts, techniques, and algorithms, including deep-learning based vision pipelines, and proven experience in delivering commercial computer vision solutions.
- The candidate must demonstrate proficiency in API design principles, standards, and best practices to create efficient, scalable, and user-friendly APIs.
- Proficiency in C/C++/Python coding and debugging with an ability to quickly build and evaluate API prototypes.

Preferred Skills

- Familiarity with computer vision libraries like OpenCV, TensorFlow, Pytorch(Torch Vision) with hands-on experience in image processing, machine learning, and deep learning technologies.
- Working Knowledge of Embedded systems and architectures, preferably Hardware CV accelerators.
- Familiarity with API documentation standards, with substantial experience in writing comprehensive documentation to clearly articulate technical concepts and details.
- Working Knowledge of Commercial Software development and SDLC processes.

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Pay range and Other Compensation & Benefits:

$122,500.00 - $183,700.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.

If you would like more information about this role, please contact Qualcomm Careers.