Mbrdna5d ago

Senior ADAS Data Infrastructure Engineer

United States·AtlantaFull-timesenior

OtherData Infrastructure Engineer

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Overview

At Mercedes-Benz Research & Development North America (MBRDNA), we are committed to delivering world-class automotive technologies that push the boundaries of what is possible.

Technical Tools

OtherData Infrastructure Engineer

At Mercedes-Benz Research & Development North America (MBRDNA), we are committed to delivering world-class automotive technologies that push the boundaries of what is possible. Our teams of highly skilled engineers and designers use cutting-edge software and technology, to enhance the driving experience and reduce environmental impact.

This position develops and executes a comprehensive autonomous driving (AD) data ingest strategy to ensure availability, performance and troubleshooting in US time zone for all US-based IT infrastructure for all AD generations at all MBRDNA locations.

This includes the on-premises networking, storage and compute (CPU and GPU), as well as the cloud environment used to ingest vehicles data, store data, run simulation, develop and test software, build data analytics for autonomous driving teams.

Lead IT infrastructure implementation project, including planning, budget management, rollout, continuous improvement/change

Spearhead localization of central requirements and implementation project for next generation of Autonomous Driving data architecture

Oversee all support and troubleshoot cases related to AD infrastructure and data ingest applications related issues for Autonomous Driving operations in all US locations

Drive infrastructure implementation and manage changes to ensure data ingest for all US AD vehicles data

Monitor the infrastructure capacity in terms of storage, computing power, cooling and electrical power needs

Ensure design and implementation of required backup and recovery services, based on central service requirements and blueprints

BA or BS, Masters

Experience in building robust ETL pipelines to handle massive datasets from various data sources

Proficient in various big data technologies (e.g. Apache Kafka or Beam)

Experience in major cloud platforms (AWS, GSP, Azure) and specifically services for storage (S3) and compute (Kubernetes, EKS)

Understanding of data warehousing, data lakes and dashboards/reports stack

Deep experience with container and container orchestration

Experience managing project in large scale enterprise

Experience with managing distributed and intercultural project teams

Preferred computer science degree