Synaptics is the leader in human interface solutions. Our ClearPad® family supports touchscreen solutions for devices ranging from entry-level mobile phones to flagship premium smartphones, tablets and notebook PCs. Our TouchPad™ family, including ClickPad™ and ForcePad®, is integrated into the majority of today's notebookPCs. NaturalID™ fingerprint sensor technology enables authentication, mobile payments, and touch-based navigation for smartphones, tablets, and notebook computers. Synaptics’ wide portfolio also includes ThinTouch® supporting thin and light keyboard solutions, as well as key technologies for next generation touch-enabled video and display applications. (NASDAQ: SYNA) www.synaptics.com.
Synaptics is rapidly expanding its biometric algorithm team with an initial focus on fingerprint matching. The specific challenges of this work go far beyond the traditional ones associated with fingerprint matching. We are looking for candidates with a combination of expertise in computer vision and pattern recognition related fields along with excellent programming and implementation skills. This role involves the design, testing, debugging and optimization of algorithms. In addition to improving existing approaches, there is opportunity to explore new ideas and invent new approaches to solving problems. Algorithm speed and accuracy are of paramount importance. Much of the work will be developed in Matlab and C. There will be significant interaction with other members of the team, who are also experts in the field, in the common pursuit of market-leading biometric products.
•PhD in EE/CS with background in computer vision, pattern recognition or related field
•Fluency in developing code in C/C++ as well as Matlab is a must.
•Ability to design experiments, analyze data, and debug and optimize algorithms
•Knowledge of fingerprint image processing and matching, face detection and matching, active presence detection and/or tracking algorithms is a plus.
•Prior hands on experience of building system and architecting real world products.
•Experience in statistical modeling, machine learning, regression is a plus.
•Experience in de-blurring and computational photography a plus.
•Experience in porting it to embedded systems and optimizing code for such platforms is desirable.
•Works well within a multi-discipline development environment
•Thinks outside the box, strategic and creative