- Skelbimas
- Atlygis/Miestas
- Apie įmonę
Neurotechnology is looking for a developer for microcontrollers with java card OS, applied to smart cards and secure tokens.
We are looking for a developer with the following profile:
- Master's degree in computer science or similar degree.
- 2+ years minimum proven experience with Java programming.
- Thoroughness, responsibility, willingness and attitude to learn.
- Good communications skills. Fluent in spoken and written English.
- C and/or assembler programming experience, at any level, is considered as a plus.
- Proven experience with the analysis and implementation of any kind of ISO standard is considered as a plus.
Developer will be responsible for:
- Implement API and integrate company proprietary’s algorithms into embedded environments based on 8/16/32 bit microcontrollers and java card OS.
- Ensure software integration compliancy with the relevant standards and API definitions.
- Interact with algorithm and QA departments.
- Interact with external technical partners for assistance and problem solving.
- >Write reports and part of the product documentation.
More information on the related target product on which the developer will work are here:
https://www.neurotechnology.com/megamatcher-on-card.html
We offer:
- Possibillity to work in a company with international scope which is one of the major players in the market of biometrics for more than 30 years.
- Flexible work schedule.
- Motivating bonuses.
Papildoma informacija: Salary depends on the level of experience
Vietovė
- Vilnius, Vilniaus apskritis, Lietuva
Laikas
- Visa darbo diena
Gintaras Sinkevičius
Neurotechnology was founded in Vilnius, Lithuania in 1990 with the key idea of using neural networks for applications such as biometric person identification, computer vision, robotics and artificial intelligence. Much to our delight, we were able to endure the "neural networks winter" by using and expanding this expertise all through 2012, the year that brought explosive developments in the concept and infrastructure of deep neural networks. This allowed us to quickly take advantage of the emerging opportunities that came with the new wave of deep learning and triggered an entire range of new projects in object recognition and other applications. Currently, our team is comprised of more than 100 employees, 15% of whom hold a Ph.D. and half of our employees are actively involved in R&D activities.