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?
- Build management tools for a global iot platform.
- Enhance tools for data labeling and review.
- Building tooling for optimizing science model training process and enable rapid deployment of models.
- Improve internal team efficiency by producing developer tooling.
Requirements:
- 2+ years full stack engineering experience
- Deep understanding of frontend/browser experience
- Love learning about using new frameworks, languages, APIs
- Evidence of exposure to architectural patterns of a large, high-scale web application
Technologies we use:
- Javascript (React)
- Golang
- Databases: Postgres, AWS DynamoDB, ScyllaDB
- Distributed Messaging: Kafka
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.