Senior ADAS Data Infrastructure Engineer

Mercedes-Benz
Atlanta, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 160K

Job location

Atlanta, United States of America

Tech stack

Testing (Software)
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Azure
Big Data
Data Architecture
Data Infrastructure
ETL
Data Stores
Data Warehousing
Data Lake
Kubernetes
Information Technology
Data Analytics
Kafka

Job description

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

Requirements

  • 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

Benefits & conditions

Here at MBRDNA, you create digital ecosystems around cars, you design a language between humans and machines, you make a car even more intelligent - you make the new reality for cars. MBRDNA was honored as one of the "Best Places to Work" by BuiltIn in January 2024, a testament to our commitment to creating an exceptional work environment. At each of our offices, we foster a culture of collaboration and continuous learning, ensuring every team member can thrive and innovate. Benefits for Full-Time* Employees Include:

  • Medical, dental, and vision insurance for employees and their families

  • 401(k) with employer match

  • Up to 15 company-paid holidays

  • Paid time off (flexible time off for salaried employees), sick time, and parental leave

  • Tuition assistance program

  • Wellness/Fitness reimbursement programs

  • Internships & Contractors excluded from Full-Time Employee benefits

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