Company:
Qualcomm India Private Limited
Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary:
We are seeking candidates with strong optimized software development knowledge and hands-on experience in computer vision, audio or other signal processing technologies in an embedded system targeted primarily to devices for compute processor market.
You will be working in a team that will ensure application developers for Windows on Snapdragon have access to fully optimized libraries in computer vision, math, signal processing to compliment the AI/ML libraries on multiple processor domains inside Snapdragon. This is very important to ensure that the app developers realize maximum performance of their end-to-end system which includes AI, as well as other computer vision, math, signal processing functions. Expect to interact closely with a multitude of teams spanning different business units across the world in a world-class, dynamic environment.
Responsibilities:
• Design and implement libraries and APIs and sample code as SDK on Windows, and Android platforms for computer vision, audio, and multimedia signal processing on Snapdragon SoCs.
• Port, Implement and optimize signal processing, math, computer vision libraries
• Document the APIs and use cases as reference for the app developers and customers
• Closely collaborate with feature owners and domain/technology experts to define/validate APIs across software and hardware SoC platforms.
• Optimize algorithm implementation for run-time performance on PC/Linux platforms.
• Optimize algorithm implementation on Hexagon DSP and SIMD processors such as ARM NEON and GPU on Snapdragon platform.
• Debug in different software environments and potentially on hardware. Interact closely with internal teams and potentially support/work with external customers.
Skills and Experience:
• 10+ years software development experience with expertise in optimized Math, CV, DSP function libraries for CV/Audio AI applications.
• Excellent C++ and Object-Oriented Programming skills demonstrated through relevant industry experience.
• Digital Signal Processing (DSP) and real time systems coding experience.
• Strong skills in analyzing performance of AI/CV solutions on heterogenous architectures (core, cache, memory, bus, etc.).
• Strong background of computer vision algorithms and machine learning/deep learning for mobile, computer, or other embedded systems such as AR, VR, auto, robotics etc.
• Experience with version control software such as Git.
• Experience with CI/CD process.
• Experience with computer vision toolkits such as FastCV, OpenCV
• Experience with SIMD optimization such as for NEON or Qualcomm Hexagon DSP or other modern DSPs
• Optimization in intrinsic or assembly instructions
• Multi-threading programming experience
• Testing and debugging on mobile platforms or other embedded systems
• Experience with software process improvements through measurable KPIs
• Candidates with knowledge and experience in the following areas are preferred:
◦ Computer vision algorithms, Audio Signal Processing algorithms on embedded systems
◦ NEON programming, Scripting
◦ Machine Learning, Neural Networks a plus
◦ Bachelor’s/Master’s degree in Computer Science, Electrical Engineering, Information Systems, or related field.
Minimum Qualifications:
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
Master’s degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
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 (https://qualcomm.service-now.com/hrpublic?id=hr_public_article_view&sysparm_article=KB0039028) 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 (http://www.qualcomm.com/contact/corporate) .
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, disability, Veteran status, or any other protected classification
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