Luxoft and DXC Technology are the world's leading independent provider of next-generation end-to-end IT services. Our goal is to shape the digital transformation for our customers and thus generate added value for their business. With our global experience, our consulting capabilities, and our leading position as an IT service and solution provider, we support our customers in their digital transformation and in the exploitation of the opportunities presented by digitization.
One key business of Luxoft/DXC is developing Backend Solutions for Autonomous Driving (AD) and Advanced Driver Assistance Systems (ADAS) vehicles for the automotive industry with many OEM's and their suppliers as our customers, called "Robotic Drive".
Luxoft/DXC are building a DDD (Data Driven Development) infrastructure for a lead Korean Tier1 and OEM to develop their next generation AD and ADAS ECUs.
Support in the design of a customer specific layered architecture for automotive data processing using Robotic Drive solution
Consulting the customer directly and customer programs on architecture related decisions
Identifying and designing new efficient technologies and algorithms for PB scale data processing
Defining long term technology roadmap and governing functional and non-functional requirements
Providing technical guidance for development teams
Assisting development teams with implementation or troubleshooting as required
Identifying technical debt and creating strategies of addressing it
University degree in Computer Science at master level (preferred) or equivalent level; Ph.D degree (desirable)
At least 8 years experience as Solution or Enterprise architect
Strong knowledge in Cloud (public or private) platforms and services
Very good working experience with DevOps practices and tools on AWS or Azure platforms
Good working knowledge for Network and Security, in particular for cloud services for at least 5 years
Knowledge of IT services in relation to AD/ADAS data processing, e.g. data ingestion, workflows, docker, kubernetes, machine learning and artificial intelligence
Knowledge of data platforms architectures and patterns: Modern data warehouse, Data Lakes, Data Pipelines, ETL/ELT
Strong interpersonal skills
Ability to communicate to technical and non-technical audiences up to C-level
Client management skills: Managing expectations, communicating good and bad news, challenging innovation/decisions, advising, influencing
Very good English and Korean language skills
Nice to have
Experience in the Automotive Industry
English: B2 Upper Intermediate
Korean: C1 Advanced
If needed, we can help you with relocation process. Click here for more information.
Line of Business