Data Engineer (m/f/d) ADAS/AD - Qualcomm Unterschleissheim, Germany

Company:

Arriver Software GmbH

Job Area:

Engineering Group, Engineering Group > Software Engineering

General Summary:

Arriver is a new software unit and brand, fully focused on developing perception, fusion and drive policy software for the next generation cars. It will deliver an open, scalable and flexible architecture solution running on Qualcomm Snapdragon Ride System on a Chip (SoC) platform. Arriver has 800 people in 5 countries – China, Germany, Romania, Sweden, USA– and builds on more than a decade of experience in active safety software development. The company is wholly owned by Qualcomm.

About the role

In the Data Analytics group, we develop and operate automated cloud solutions for large-scale performance evaluation of ADAS/AD sensors and functions. We are looking for a motivated colleague with a Data Engineering background to further strengthen our team.

What you'll do?

• Develop and maintain our data analytics framework for ADAS/AD features and systems.
• Use Python and IAC tools to deploy and maintain cloud (AWS) infrastructure for running massive scale Data Pipelines for ADAS/AD development.
• Develop and deploy APIs and services to enable large scale execution and analysis of vehicle drive data for relevant stakeholders.
• End to end engineering of a data analytics pipeline including but not limited to
  • Orchestrating Kubernetes workflows
  • Developing robust ETL pipelines
  • Monitoring, logging, and alerting health of the services.
  • Enable and support end users in visualizing the data.
• Interact with stakeholders, understand requirements and their pain points to improve existing workflows and services.
• Brainstorm and choose appropriate distributed system technologies (orchestration tools, data storage technologies, database engines) considering the domain specific requirements.
• Research and implement state-of-the-art concepts and techniques for automotive analytics.
• Adapt and apply our solutions within international customer projects in close cooperation with our function development teams.
• Work in a highly motivated, international team in an agile organization.
• Work on a state-of-the-art data platform in collaboration with a German OEM.

What you'll bring

• University degree in Computer Science, Data Science, or a similar field.
• Experience with
  • cloud platforms like AWS
  • Kubernetes
  • infrastructure as code like CDK or TerraForm
  • building pipelines and workflow management tools such as Argo Workflows, Apache Airflow
• Multiple years of experience in writing clean, well-documented, reusable code in Python and an object-oriented programming language.
• Familiarity with SQL and NoSQL databases, analytic engines, notebooks, dashboards, and big data file formats.
• Generic knowledge in standard software development processes, such as code review, software testing.
• Effective communication skills.
• Fluent English language skills.

Nice to Have

• ADAS/AD sensor and software development/testing experience.

We offer:

• Competitive salary and benefits package.
• Collaborative and inclusive work culture.
• Career development and growth opportunities.
• Employee share program.
• Company bike, job ticket.
• Employer-financed retirement provision.
• Mentoring program for intensive onboarding training and further education opportunities.
• Employee stock purchase program (15% discount on Qualcomm stock purchase).

You will join a highly motivated and experienced team working together from multiple locations around the world.

We look forward to receiving your complete and meaningful application!

Minimum Qualifications:

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.