Biometrics AI Solutions Engineer

Company:

Job Area:

General Summary:

Be part of a dynamic engineering team to create cutting edge secure biometric solutions through advanced algorithms, software, and hardware.

The ideal candidate should have strong programming skills, good multimedia knowledge, and good understanding of computer architecture. He/she should be comfortable with embedded development environment, possess good team work skills, develops optimized software for multimedia algorithms, and integrates them into commercial products. Responsibilities include software development, optimization, algorithm analysis, prototyping and product commercialization.

Minimum Qualifications:

Preferred Qualifications:

• C/C++ programming in embedded systems
• Digital Signal and Image Processing
• Face, palm, and finger print detection, match, and liveness
• Computer Vision, Machine learning, and AI
• Performance optimization including vectorization and multi-threaded development
• Computer Architecture
• Secure solution development, such as TZ, TEE.
• Android and related HLOS experience
• Manual and Automated test development

Principal Duties and Responsibilities:

•    Designs systems-level software and hardware to design multimedia functionality under some supervision; identifies power constraints and potential tradeoffs and makes recommendations to resolve issues and produce innovation solutions.
•    Contributes to discussion of design reviews for subsystem development; defines design constraints for a specific project; identifies solutions to meet design targets.
•    Collaborates with peers to design products that meet internal and/or external customer requirements and standards.
•    Develops test environment and test cases to verify the design of a well-defined component; works with peers to evaluate the impact of results and validate software and hardware against specifications; helps to define the test plan to collect data on accuracy, reliability, performance, power, and robustness of design; organizes and plots the data to draw conclusions and present findings.
•    Uses appropriate tools to conduct common analyses of software or hardware design.
•    Programs an aspect of a chip (i.e., feature) under some supervision; creates new and tailors existing algorithms according to a framework.
•    Completes complex tasks and solves issues related to the engineering and management of machine learning data with minimal guidance from more experienced engineers.
•    Develops or adapts complex machine learning algorithms, models, or frameworks aligned with product proposals or roadmaps with minimal guidance from more experienced engineers.
•    Conducts complex experiments to train and evaluate machine learning models independently.
•    Contributes to technical conversations and documentation (e.g., white papers, schematics, FDD, HLDR); escalates complex technical issues to an appropriate contact (e.g., project lead, colleagues).

Level of Responsibility:

•    Working under some supervision.
•    Providing some supervision/guidance to others.
•    Making decisions that are moderate in impact; errors may have relatively minor financial impact or effect on projects, operations, or customer relationships; errors may require involvement beyond immediate work group to correct. 
•    Using verbal and written communication skills to convey information that may be somewhat complex to others who may have limited knowledge of the subject in question. May require basic negotiation and influence, cooperation, tact, and diplomacy, etc. 
•    Working within prescribed budget and resources.
•    Having a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to provide input on key decisions).
•    Completing most tasks with multiple steps which can be performed in various orders; some planning and prioritization must occur to complete the tasks effectively; mistakes may result in some rework.
•    Exercising substantial creativity to innovate new processes, procedures, or work products within guidelines or to achieve established objectives.
•    Using deductive and inductive problem solving; multiple approaches may be taken/necessary to solve the problem; often information is missing or incomplete; intermediate data analysis/interpretation skills may be required.
•    May be solicited during strategic planning period.

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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.

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.

Pay range and Other Compensation & Benefits:

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.