Company:
Qualcomm Semiconductor LimitedJob Area:
Engineering Group, Engineering Group > Systems EngineeringGeneral Summary:
Qualcomm's Systems group is seeking candidates for its Computer Vision team in TW. The team develops new algorithms, hardware architectures and systems for computer vision functions running in an embedded systems targeted primarily to devices for the AR/VR, smartphone, auto and IoT environment. We are seeking candidates with strong knowledge and hands-on experience in systems architecture and hardware development of computer vision technologies within an embedded systems hardware environment. Experience in developing real time computer vision systems is desirable. Working knowledge of problem solving of computer vision tasks using neural network processing is also a plus for this position. Candidates at different levels of experience will be considered.
Responsibilities:
The selected candidate will have responsibilities in one or more of the following areas:
- Work with other leads on design and technology development activities for computer vision systems including studying state of the art algorithms and profiling on target platforms, hardware/software partitioning of algorithms and provide architecture and specifications for hardware implementation.
- Come up with adaptations of existing algorithms that will enable new functionalities through hardware implementation. This work will involve close collaborations with algorithm developers, SoC architects and designers to drive to hardware development that will enable novel AR/VR and smartphone experiences with state-of-the-art advances in performance, power and silicon area.
- Systems and hardware architecture development will span conventional computer vision frameworks as well as neural network-based frameworks for the enablement of AR/VR and smartphone experiences.
All Qualcomm employees are expected to actively support diversity on their teams, and in the Company.
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
Minimum Qualifications
- Expertise in systems architecture and hardware design supporting computer vision and machine learning use cases
- Expertise in methods for partitioning a solution across hardware and software within an overall systems solution
- Experience in developing hardware systems level architecture for accelerators targeted to real time computer vision tasks
- Experience in evaluating system and hardware block level architecture tradeoffs in throughput, latency, power and area
- Excellent verbal and written communication and presentation skills
- Programming skills in C/C++, Python and experience with hands-on coding for the purpose of developing and testing hardware
- Master's degree in Electrical Engineering or Computer Science with significant systems and hardware design topics related coursework.
Preferred Qualifications
- Have multiple years of industry experience developing systems and hardware level solutions in computer vision area and/or AR/VR systems
- Experience with top down high level model to HW mapping
- Experience in developing hardware solutions or understanding at algorithm level in 3D scene reconstruction and understanding, SLAM, motion & depth estimation, warping, hand tracking, eye tracking, body pose estimation is a plus
- Experience in advanced ASIC/SoC design methodologies including knowledge of HLS is a plus.
- Knowledge of industry trends and disruptive technologies in computer vision area with emphasis on AR/VR
- Results oriented, self motivated, proactive and have demonstrated creative and critical thinking skills and being able to operate with minimum high level direction
- MS or Phd degree in Electrical Engineering or Computer Science with emphasis in Systems architecture and hardware development for real time systems in computer vision and/or AR/VR areas.
Keywords
Systems Architecture, Hardware Development, Computer Vision, AR/VR, Algorithm Development, Deep neural network processing frameworks
Applicants: If you need an accommodation, during the application/hiring process, you may request an accommodation by sending email to accommodationsupport
Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.
Qualcomm is an equal opportunity employer and supports workforce diversity.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
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.
If you would like more information about this role, please contact Qualcomm Careers.
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