#Computer Vision Software Engineer
- Location
- San Diego, CA
- Work model
- On-Site
- Level
- Mid
- H-1B history
- 22 approvals (FY2023)
- Posted
Skills
About this role
Company: Qualcomm Technologies, Inc. Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: ** This position is not eligible for Qualcomm immigration sponsorship. ** The Qualcomm Computer Vision SW team is actively engaged in offering optimized visual analytics solutions in SW and HW for enabling use-cases spanning various business units like Mobile, XR, IOT, Compute and Auto. We are seeking ambitious, bright and innovative software engineers and to-be leaders to be part of this effort. Job activities span the whole product life cycle from early R&D prototyping to commercial deployment. The environment is fast-paced and requires cross-functional interactions on a daily basis, so good communication, planning and execution skills are a must. Machine learning, Image processing and computer vision knowledge or API/SDK development experience Operating system knowledge and computer architecture related project experience Solid hands-on software design and development experience on complex embedded computing platforms. Strong programming experience in C/C++/Python/STL, as well as hands-on experience debugging complex embedded software and with version-based tools. Ability to contribute to all phases of software development - bring-up, design, deployment, and customer support. Demonstrated ability to work with engineers, partners and customers, and across the different geographical sites and technology domains (Software/firmware/hardware). Excellent verbal and written communication skills. Experience in embedded system software development including kernels, device drivers and board-support packages is a plus. Previous projects’ github link if available Minimum Qualifications: • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
Responsibilities
Design and implementation of vision and image processing API/pipelines on Qualcomm SoCs and platforms, closely collaborate with cross-functional teams (SW/FW/HW) and domain/technology experts to understand and define specifications, and serve as feature owner for software design/implementation/commercialization, and integrate/validate software in a larger system. Actively engage with internal clients (Camera/Video/XR technology areas), OEMs, Tier-1s and ISVs to implement solutions based on of Qualcomm Computer Vision offerings. Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin,