Logo
Ford Motor Company

ADAS Analytics Engineer

Ford Motor Company, Dearborn, Michigan, United States, 48120


Job Description

We are looking for a Python Cloud Application Development Engineer for GCP. The job involves understanding the analytic needs of the Advanced Driver Assist Systems (ADAS) team and developing custom Cloud based Python Big Data Applications. The engineer will create geo-analysis products using the rich Python eco-system based on data collected from Connected Vehicles. The engineer will analyze diagnostics trouble codes (DTC's) and diagnostics identifiers (DIDs) associated with regulatory feature function and performance (e.g., rear view camera and other applicable ADAS features).

What you'll do...

Work with Advanced Driver Assist System (ADAS) engineering team and understanding their data analytics needsDevelop 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 EngineersDevelop 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, QliksenseCollaborate with ADAS feature, systems, and diagnostics teamsYou'll have...

BS Degree in Engineering, Physics, Computer Science, Data Science, or Control SystemsFamiliarity 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 DataShaderStrong Expertise in Cloud Platforms such as GCP (Preferred), Azure, AWS, DatabricksExperience in writing SQL Queries to process Cloud native Big DataExperience in CI/CD pipelines and tools like GitHub, Docker, Jenkins, Tekton, and TerraformGCP (Preferred), AWS or Azure certifiedIdeally 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 SystemsIdeally experience in workflow automation tools such as Astronomer, Airflow, and DBTIdeally experience with ADAS feature functional interfaces and diagnosticsExperience creating RAG/LLM based tools for natural language queries of large datasets is a plus but not required

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a change maker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:

•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:

https://corporate.ford.com/content/dam/corporate/us/en-us/documents/careers/2024-benefits-and-comp-GSR-sal-plan-2.pdf

Visa sponsorship is available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

#LI-Hybrid