ADAS Cloud Infrastructure Engineer

In this position... 

You will be a part of the team building the ADAS teams cloud-native tools, services and pipelines on which our product teams depend. You will develop software within the distributed ecosystem that continuously feeds back data and improve our products. You will work cross functionally with data operations, algorithm development, and vehicle platform teams to create containerized services and workflows which support all phases of the data and machine learning life cycle. The person in this position will provide technical leadership in an expanding team and role model Agile and DevOps principles to develop technologies needed to design, test, validate, and deploy software at scale.

What you'll do...

• Design the data pipelines and engineering infrastructure to support our ADAS products

• Full stack development of web applications to support a transparent and user friendly ADAS data platform

• Workflow automation and scaling using GCP tools (TerraForm,DataFlow, Vertex AI, CloudRun, GKE)

• System integration testing and deployment to production environment

• Cloud infrastructure provisioning and management

• Be part of our culture of continuous improvement and proactive ownership. Identify efficiency gaps, and drive productivity improvements.

• Execute best practices in version control and CI/CD

• Collaborate with algorithmic teams developing early product concepts and operationalize their prototype ML environments and pipelines.
• Formulate KPIs for our cloud services and pipelines, and integrate telemetry to measure and track efficiency
• Stay current on the latest tools and trends in the cloud software domain