Senior ADAS Data Infrastructure Engineer
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Job Location:
Atlanta, GA - USA
Monthly Salary:
Not Disclosed
Posted on:
10 hours ago
Vacancies:
1 Vacancy
Job Summary
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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