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.

Job Responsibilities:

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

Minimum Qualifications:

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 Qualifications:

Preferred computer science degree

Why should you apply?

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

MBRDNA is an equal opportunity employer (EOE) and strongly supports diversity in the workforce. MBRDNA only accepts resumes from approved agencies who have a valid Agency Agreement on file. Please do not forward resumes to our applicant tracking system, MBRDNA employees, or send to any MBRDNA location. MBRDNA is not responsible for any fees or claims related to receipt of unsolicited resumes.

Mercedes-Benz Research and Development North America, Inc.

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