1. In the coffee house of sensor fusion the adjacent possible is being discussed and the necessary bits and pieces are being traded around
   so that they are ready to get put together in novel ways.
   
   In my digressive reading I was really happy with the Huami file, that they are investing BIG time in the rare algo chefs, not in China
   but with a leasurely 10 min drive from QUIK HQ.
   
   Samsung, known as SEC in Korea, is moving the mobile device along with a BIG step forward in the specs on the rumored Fit2 device.
   ANd they are hiring also as this one says....
   
   
   Principal Biometrics Algorithm Engineer
   Samsung
   US - CA - San Jose
   

   • Posted 4 days ago
   • 83 views

   Apply on company websiteApply to Samsung Semiconductor, Inc. on their website
   Job description
   
   
   SSIC Overview
   
   Do you care about building real products on a global scale? Do you have the ability to imagine, innovate,execute and disrupt?
   
   Same Q works on QUIK? I think so
   Do you care about building real products on a global scale? Do you have the ability to imagine, innovate,execute and disrupt?
   
   We are a talented and diverse group of technologists, innovators, and industry leaders, bound by a common passion to reinvent how we approach everyday life.We are SSIC, Samsung Strategy and Innovation Center -- an incubator of new disruptive businesses within the leading global technology company.
   
   
   We launched in late 2012 and are headquartered on Sand Hill Road in Silicon Valley with smaller teams in Tel Aviv, Seoul and London. We are creating newdisruptive platforms and business models for Digital Health, IoT, Next Gen Cloud Infrastructure and HCI. We build things here as well as partner with and invest in early stage partners.
   
   Title
   
   Principal Biometrics Algorithm Engineer
   
   Location
   
   San Jose, CA
   
   
   Team
   
   Digital Health
   
   Team Overview
   
   The Digital Health team is focused on developing a health platform that helps you monitor your health and identify potential health issues before they become serious. We are building a platform that involves sensors, data, algorithms, cloud, hardware and software.
   
   Position Description
   
   As an Algorithms Engineer, you will develop innovative algorithms for real-time processing of physiological data from ECG, PPG, Accelerometers, Bio impedance, and others.
   
   
   With your expertise in developing biometrics algorithms you will devise approaches to signal processing and parameter estimation to develop new biometrics algorithms. You will use your modelling and analysis skills to develop integrated data analytics to transform these biometrics into relevant, useful physiological information.
   
   We want intelligence on the device, machine learning on the device, one layer, then the cloud, their Fit2 is just the start of it for them-
   For any doubters, there will be duplicates, and we really want this evolution to be there- QUIK has it on the Eos2 roadmap.
   
   
   To achieve this you will drive the algorithm development process from end to end: defining experiments for data collection and work with the data collection team to ensure appropriate data is available, perform data analysis and modelling, build and leverage partnerships with physiological and clinical experts in the understanding and interpretation of data results, and use your specific expertise to translate from data to end algorithm.
   
   
   Further you will leverage your experience with real-time firmware/software development on embedded systems such as those in the ARM family of processors to integrate your new algorithms into the real-time embedded systems.
   
   QUIK get those new porting tools over there ASAP> thanks QUIK
   
   
   You will additionally have the opportunity to contribute to the team roadmap and potentially grow into a technical leadership role.
   
   Responsibilities
   
   

   • Develop novel algorithms for signal processing, feature extraction, and data analysis and integration of biometrics information using data from physiological sensors
   • Collaborate with embedded software teams to define related control logic for sensor scheduling specific to the needs of the algorithms.
   • Design ofexperiments for data collection for empirical data analysis and to assess real-time algorithm performance
   • Troubleshooting system performance issues
   • Implementing software for algorithms on platform

   Qualifications and Experiences
   
   

   • PhD in Electrical Engineering, Biomedical Engineering or equivalent disciplines, or equivalent years of experience in signal processing and data analysis domain, with a demonstrable mathematical and statistical foundation
   • Thorough understanding of signal processing for novel-feature extraction and the ability to apply these to non-standard (e.g., quasi-periodic) signals
   • Ability to apply data analytics skills to identify new and/or difficult relationships in complex/confusing datasets
   • Experience developing algorithms under constraints for both real-time embedded and cloud-based target systems
   • Expert knowledge of Matlab (or similar)
   • “Plusses” for:

   -Extensive knowledge in biometric signals for estimating blood pressure and in blood pressure- regulating physiology (++)
   
   -A background in biomedical engineering and broad experience with physiological signals
   
   -Exposure to machine learning techniques (e.g., classifiers, supervised /unsupervised, clustering, dimensionality reduction)
   
   -Knowledge of estimation and control techniques (e.g., Kalman Filters, Particle Filters, Hidden Markov Models)
   
   Useful, but reading suggests the Sensory approach of a neural network at an order of magnitude lower power is the FUTURE here..and will separate from the highlighted text above.
   
   -Experience with automated MATLAB/Simulink to C/C++ code generation, Simulink, and Embedded C/C++
   
   Personal Characteristics
   
   •High Integrity
   
   •Brilliant and Curious
   
   •"Interested in details" person
   
   •Interest in the Digital Health vision and mission
   
   • Good communication skills for multifunctional, multinational environment

    

   jfieb, 13 minutes agoEditDeleteReport

   #4Reply
2. 

   jfiebActive Member

   New

   How far from QUIK HQ to sit down with someone from SSIC?
   
   24 min
   13.2 miles
   via US-101 N
   23 min without traffic
   
   24 min
   19.4 miles
   via I-280 N
   23 min without traffic
   
   1 h 42 min
   5:50 AM—7:32 AM
    902 Limited X SLAC 
   
   
   THe coral reef of sensor fusion algos is where Huami, SSIC, QUIK live and can actually go to Starbucks and meet at the Senosr meeting this June, and work together.
   
   Who needs QUIK?
   
   Huami does, SSIC does....
   
   Use the cc material on the allocation of resources to the Tier 1...we want that to get started and at the very same time, while saying very little we want the Eos 2 team uver the office of the CTO to be hanging out in the senor fusion coffee house
   so that they can have on the Eos2 exactly what is needed for the above. HUami and SSIC are using these locations for a very real reason and in the BIG pic it also helps the roadmap...............