Algorithm Development Engineer, Image Processing and Machine learning | |
Contract type | Full time Position |
Location | Lyskær 5, 2730 Herlev, Denmark |
Application | Please send your application and CV as soon as possible to (jobposting@egistec.com), but no later than October 31, 2024. The selection process will start as soon as we receive applications. |
Ambition | We want to be the best in biometric systems – improving security, saving time, and making life more convenient. With your competences, engagement, brilliant ideas, and our knowledge of biometric technology, we can meet this objective! |
About the company | Egis Technology Inc. is a leading biometric company. We develop and deliver authentication systems with a focus on fingerprints modalities. Our system technologies include sensors, algorithms, software, and our success is depending on product development by leading specialist within all the above areas. When joining us, you will become a part of an ambitious, and skilled team where we encourage each other to collaborate, come up with new ideas, share experiences and have fun. We pride ourselves on our customer-centric approach, ensuring that our solutions are tailored to meet the unique needs of each client. |
About the role | We are looking for talented Algorithm development engineers to expand our algorithm team, located in Copenhagen.
Your main responsibilities as an Algorithm development engineer include algorithm analysis, design, implementation, and configuration. Key metrics guiding your work will be biometric performance, implementation complexity and architecture flexibility. You will work in close collaboration with local team-members and SW/HW teams located at offices in Taiwan and China. As part of the team, you will join an R&D effort that plays a key role in the development of biometric algorithms for current and future modalities, adapted to smartphones. The algorithm team is characterized by a high level of professional competence, as well as an open, friendly, and innovative work environment. This is an excellent opportunity for algorithm professionals to join a fast-paced industry and be part of a dedicated and highly competent team of peers! |
Qualifications | The right candidates match the following profiles, with Master or Ph.D. level academic qualifications:
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Competences & Skills |
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