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 across 5 countries.
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, developing data analytics frameworks and cloud infrastructure using Python, AWS, and Kubernetes. The ideal candidate will have strong experience in data engineering, cloud platforms, and distributed systems, working in an international team on state-of-the-art data platforms in collaboration with German OEMs. The role combines technical expertise in data engineering with automotive domain knowledge, offering competitive compensation, career growth, and comprehensive benefits including equity participation. The company's mission to develop next-generation car software makes this an exciting opportunity for those interested in the intersection of data engineering and automotive technology.

Last updated 13 days 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
  • Research and 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 cloud platforms like AWS
  • Experience with Kubernetes
  • Experience with infrastructure as code like CDK or TerraForm
  • Experience with workflow management tools like Argo Workflows, Apache Airflow
  • Multiple years of experience in Python and OOP
  • Familiarity with SQL and NoSQL databases
  • Knowledge of software development processes
  • Fluent English language skills

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

401k
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)

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