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

You'll have...

• Bachelor's or foreign equivalent degree in computer science, electrical engineering or a related field

• 3 years’ experience architecting, developing and testing web applications in complex systems

• 3 years’ experience developing web applications using REST architecture

• 3 years’ experience developing enterprise applications using relational and NoSQL databases

• 1 year experience using cloud-native containerization and orchestration technologies (e.g. Docker, Kubernetes, Airflow, Astronomer)

• Fluency in Python

Even better, you may have...

• Master’s or foreign equivalent degree in computer science, electrical engineering or a related field

• 5+ years developing production micro-services and APIs

• 3+ years of experience with Agile software development processes

• 1+ years developing MLOps services and automation workflows  

• 1+ year with scale processing tools (PySpark, Iceberg, Databricks)

• 1+ year of experience with data compliance, sandboxing, and observability 

• Proven ability to deliver complex solutions in an intensely collaborative product creation environment

• Excellent written and verbal communication skills, both vertically and horizontally within the organization
  
  
   

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 changemaker, 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, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases<