Data Engineer (m/f/d) ADAS/AD

Arriver is a software unit focused on developing perception, fusion and drive policy software for next generation cars, owned by Qualcomm with 800 people in 5 countries.
$70,000 - $120,000
Data
Mid-Level Software Engineer
In-Person
501 - 1,000 Employees
3+ years of experience
AI · Automotive

Description For Data Engineer (m/f/d) ADAS/AD

Arriver, a Qualcomm-owned software company, is seeking a Data Engineer to join their Data Analytics group in Munich, Germany. This role focuses on developing and operating automated cloud solutions for large-scale performance evaluation of ADAS/AD sensors and functions. The position offers an opportunity to work with cutting-edge automotive technology, implementing data analytics frameworks and cloud infrastructure for autonomous driving development.

The ideal candidate will have strong experience in Python programming, cloud platforms (AWS), and Kubernetes, along with knowledge of data pipeline development and infrastructure as code. You'll be working in an international team, collaborating with function development teams and implementing solutions for German OEM projects.

The role combines technical expertise in data engineering with automotive industry applications, offering exposure to state-of-the-art concepts in automotive analytics. Benefits include competitive compensation, career growth opportunities, and various perks such as stock purchase programs and retirement benefits.

This position is perfect for someone passionate about data engineering who wants to contribute to the future of autonomous driving technology while working in a collaborative, international environment. The company's backing by Qualcomm provides stability and resources, while the focus on ADAS/AD technology offers exciting technical challenges and learning opportunities.

Last updated 2 months ago

Responsibilities For Data Engineer (m/f/d) ADAS/AD

  • Develop and maintain data analytics framework for ADAS/AD features and systems
  • Deploy and maintain cloud (AWS) infrastructure for Data Pipelines
  • Develop and deploy APIs and services for vehicle drive data analysis
  • Orchestrate Kubernetes workflows
  • Develop robust ETL pipelines
  • Monitor, log, and alert service health
  • Enable data visualization for end users
  • Work with stakeholders to improve workflows and services
  • Implement state-of-the-art concepts for automotive analytics

Requirements For Data Engineer (m/f/d) ADAS/AD

Python
Kubernetes
  • University degree in Computer Science, Data Science, or similar field
  • Experience with AWS cloud platforms
  • Experience with Kubernetes
  • Experience with infrastructure as code (CDK or TerraForm)
  • Experience with workflow management tools (Argo Workflows, Apache Airflow)
  • Multiple years of Python programming experience
  • Knowledge of SQL and NoSQL databases
  • Effective communication skills
  • Fluent English language skills

Benefits For Data Engineer (m/f/d) ADAS/AD

401k
Medical Insurance
Education Budget
Equity
  • Competitive salary and benefits package
  • Career development opportunities
  • Employee share program
  • Company bike, job ticket
  • Employer-financed retirement provision
  • Mentoring program
  • Employee stock purchase program (15% discount)
  • Education and training opportunities

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