Ford ADAS Analytics Engineer 

United States, Michigan, Dearborn 

539319973

What you'll do…

• Work with Advanced Driver Assist System (ADAS) engineering team and understanding their data analytics needs
• Develop custom Python Web Applications using CloudRun (e.g., Dash, Streamlit, PySpark, and Flask) to process the very large datasets flowing from connected vehicles on the Google Cloud Platform (GCP) in to Big Query (BQ) or Google Cloud Storage (GCS) and present tools to Driver Assistance Engineers
• Develop automated data processing pipelines using Terraform, Docker, Tekton, GitHib, Kubernetes (Openshift)
• Build and monitor dashboards based on the data in tools such as Looker, LookerStudio, Apache Superset, Qliksense
• Collaborate with ADAS feature, systems, and diagnostics teams

You'll have…

• BS Degree in Engineering, Physics, Computer Science, Data Science, or Control Systems
• Familiarity with ADAS feature functional interfaces, diagnostics, regulatory requirements (Rear View Camera (RVC), Automatic Emergency Braking (AEB)
• Strong Expertise in creating web applications using Python Frameworks such as Dash, Flask, Streamlit, PySpark, and Python High Performance visualization packages like DataShader
• Strong Expertise in Cloud Platforms such as GCP (Preferred), Azure, AWS, Databricks
• Experience in writing SQL Queries to process Cloud native Big Data
• Experience in CI/CD pipelines and tools like GitHub, Docker, Jenkins, Tekton, and Terraform
• GCP (Preferred), AWS or Azure certified

Ideally you'll have…

• Ideally experience in JavaScript for high performance Big Data Geo Visualization like Deck.gl, Leaflet etc.
• MS Degree in Engineering, Physics, Computer Science, Data Science, or Control Systems
• Ideally experience in workflow automation tools such as Astronomer, Airflow, and DBT
• Ideally experience with ADAS feature functional interfaces and diagnostics
• Experience creating RAG/LLM based tools for natural language queries of large datasets is a plus but not required

• Immediate medical, dental, and prescription drug coverage

• Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more

• Vehicle discount program for employees and family members, and management leases

• Tuition assistance

• Established and active employee resource groups

• Paid time off for individual and team community service

• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day

• Paid time off and the option to purchase additional vacation time.

For a detailed look at our benefits, click here:

Visa sponsorship is available for this position.