Luxoft is a global leader in high-end software development.
Luxoft is looking for talents with a passion for technology & ready to create original solutions. Once on board, you are invited to expand your knowledge & skills, offering you a continuous learning experience helping you stretch your potential.
So if you’re enthusiastic by the idea of accessing cutting edge technology & innovation to make an impact, why don't you join us?
- Translate designs and wireframes into high quality code
- Design, build, and maintain high performance, reusable, and reliable Java code
- Ensure the best possible performance, quality, and responsiveness of the application
- Identify and correct bottlenecks and fix bugs
- Help maintain code quality, organization, and automatization
- Strong knowledge of Android SDK with proficiency in Java/Kotlin experience.
- Strong knowledge of the different versions of Android, and best practices dealing with different screen sizes
- Familiarity with RESTful APIs to connect Android applications to back-end services
- Strong knowledge of Android UI design principles, patterns, and best practices
- Experience with offline storage, threading, and performance tuning
- Ability to design applications around natural user interfaces, such as "touch"
- Familiarity with the use of additional sensors, such as gyroscopes and accelerometers
- Knowledge of the open-source Android ecosystem and the libraries available for common tasks.
- Proficient understanding of Git
An autonomous car startup on a mission to make cities safer and more efficient with better drivers. We're looking for engineering and business professionals who love to design, build and scale real-time distributed systems to join our growing team in Palo Alto.
Merging artificial intelligence with computer vision, client's systems detect and react to what's happening on the road ahead of a driver and within the vehicle. The algorithms sense when there is an issue on the road ahead, or a distraction within the vehicle, and helps the driver respond. They also automatically understand when a collision is about to happen, and record the scene inside and outside of the car then. Images and data about the incident are stored in the cloud, and can be shared via client's app and fleet management tools.
The company's systems are already running on several classes of high-volume commercial vehicles. Longer term, client will continue to partner with auto manufacturers to evolve its systems from an onboard safety AI into a platform that accelerates the development of autonomous vehicles.