Algorithm Development Engineers
Fingerprint Cards AB / Logistikjobb / Göteborg
2016-08-25
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hela Sverige About Fingerprint Cards AB
Fingerprint Cards AB (FPC) is a Swedish biometric company with headquarters in Gothenburg that markets develops and produces biometric components and technologies that through the analysis and matching of an individual's unique fingerprint verify the person's identity. The technology consists of biometric sensors, processors, algorithms and modules. FPC engages around 350 dedicated people at offices in Gothenburg, Malmö, Linköping, Copenhagen, Tokyo, Seoul, Shanghai, Taipei and Silicon Valley. FPC shares are noted on Nasdaq OMX Stockholm.
At FPC you will be working with the latest technology in a dynamic international environment, in a company under rapid development. You will be empowered with responsibilities and decision paths are short and fast. Our people are engaged and each individual is important since our joint efforts contribute to our success.
www.fingerprints.comFPC is seeking engineers for algorithm development, to help us develop future biometric systems for mobile phones and other devices. FPC is a leader in the development of capacitive fingerprint sensors and designs the whole system solution, from advanced custom silicon devices and microelectronic packaging, to algorithms and software for fingerprint recognition and applications on the target devices.
We are looking for talented and enterprising engineers for our algorithm team, located in Copenhagen and Gothenburg. As part of the team, you will join a significant R&D effort and play a key role in the development of biometric algorithms for current and future modalities, adapted to smartphones, wearables, smartcards as well as other devices and business segments. The algorithm team is a central part of R&D, and is characterized by a very high level of professional competence and experience as well as an open and innovative work environment.
The Job
Working with biometric images and data, your main responsibilities will include algorithm analysis, design, and implementation. Key metrics guiding your work will be biometric performance, implementation complexity, and architecture flexibility. You will work in close collaboration with teams responsible for HW and SW.
The right candidates match one or more of the following profiles, with Master or Ph.D. level academic qualifications:
• Machine learning: Knowledge of and experience with modelling, estimation and inference for data-driven applications of supervised and unsupervised learning. You have a solid understanding of and can apply state-of-the-art machine learning methods to pattern recognition problems such as feature extraction, alignment and classification. Methods and implementations that you have experience with could include feature and metric learning, (convolutional/deep) neural networks, support vector machines, convex/non-linear optimization, Bayesian estimation and inference as well as graphical models.
• Image/signal analysis and processing: Knowledge of and experience with image or general signal analysis and processing, with proficiency in several of the following: image registration, computer vision, optimization, sensor control and impairment corrections, classification, regression, clustering, in addition to general competences in statistics, signal analysis, computational geometry or adjacent areas. Ability to perform in-depth algorithmic analyses in order to identify trade-offs between effectiveness and efficiency, e.g. in order to operate within a given computational budget, or to perform system level optimizations.
• Security of biometric algorithms and systems: Knowledge of and experience with security and performance aspects of biometric algorithms and systems. You have a solid understanding of and experience with both biometric algorithms as well as cryptographic primitives and protocols, facilitating the design of secure biometric algorithms and systems with the right balance between performance and security. Methods and implementations that you have worked with could include biometric feature extraction and matching algorithms, template protection mechanisms, biometric cryptosystems, revocable biometrics and information theory.
• Algorithm customer support: Experience with algorithm related customer support, including customer-specific performance evaluation, algorithm design adaptation, implementation, verification and deployment. You are able to deal directly with customers from the office as well as at customer premises, to ensure that the integrated algorithm asset meets requirements and works as expected. You have proven ability to solve issues while communicating with both customers and internal stakeholders, in a dynamic environment. Chinese, Korean, Japanese or other relevant language skills are a plus. You are willing and able to travel, up to 40 days per year.
Competences & Skills
You have a proven track-record in bringing your exceptional academic background to bear in a real-world engineering context, by efficiently bridging science and engineering.
Preferred candidates have:
• Documented industry experience in algorithm development (including result analysis and presentation), implementation, verification and optimization in a relevant field.
• Strong experience with imperative programming (specifically C/C++, Python, and Matlab). Experience with software architecture (e.g. complexity management, dependency and state reduction, cohesion, design patterns), as well as software development and software quality assurance processes.
• A team-oriented attitude, as well as the ability to work independently.
• Excellent communication skills and fluency in spoken and written English.
This is an excellent opportunity for accomplished algorithm professionals to be part of a dedicated and highly competent team of peers. We offer challenging, intellectual projects, and competitive compensation.
Your application will be handled by our HR Partner Anna Lindgren, +46 70 7643408.
Varaktighet, arbetstid
Heltid -
Publiceringsdatum2016-08-25ErsättningEnligt överenskommelse
Så ansöker duSista dag att ansöka är 2016-09-30
Klicka på denna länk för att göra din ansökanFöretagFingerprint Cards AB
AdressFingerprint Cards AB
P.O. Box 2412
40316 Gothenburg
KontorsadressP.O. Box 2412
Övriga kontaktuppgifter Jobbnummer 3011814
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