Staff Engineer, Ford Pro Intelligence

🕒 May 26

🏄 California – Remote

🏄 California – Remote

💵 $132.8k - $250.8k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

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Ford Motor Company

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1903

🚗 Transport

💰 Post-IPO Debt on 2023-08

Transport • Manufacturing • Sustainability

Ford Motor Company is a globally renowned automotive company based in the United States, established by Henry Ford. The company is committed to building a better world where every individual has the freedom to move and follow their dreams. Ford is dedicated to innovation, with a focus on services, experiences, and software alongside its traditional vehicle manufacturing. The company is actively involved in sustainability initiatives and aims to meet ambitious environmental targets. Ford values service, community impact, and strives to combine business success with social and environmental responsibility. With a rich history of over 121 years, Ford continues to adapt and lead in the evolving automotive landscape.

📋 Description

• Architectural Leadership: Design and oversee the implementation of highly scalable, distributed backend systems and microservices using Java, Kotlin, and Python. • Data Strategy: Define the data architecture and modeling standards for both relational (SQL) and non-relational systems, ensuring data integrity, security, and high availability. • Streaming & Batch Processing: Lead the design of real-time data pipelines (e.g., using Dataflow, Pub/Sub, or Kafka) and batch processing frameworks to handle petabyte-scale data efficiently. • AI Integration: Drive the "AI-first" engineering culture by integrating LLMs, machine learning models, and RAG (Retrieval-Augmented Generation) patterns into production workflows using GCP Vertex AI. • Cloud Excellence: Optimize GCP infrastructure for performance and cost, leveraging GKE, BigQuery, and Cloud Spanner to support global-scale operations. • API & Ecosystem Design: Set the standard for API development (REST, GraphQL, gRPC), ensuring seamless integration across internal services and external partners. • Technical Governance: Conduct architecture reviews, define CI/CD best practices, and ensure the team maintains a high bar for code quality, testing, and observability. • Mentorship: Act as a force multiplier by mentoring Senior Engineers, fostering a culture of continuous learning and technical excellence.

🎯 Requirements

• Bachelor’s Degree in Computer Science, Data Science, or a related field • 10+ years of professional software engineering experience, with at least 5 years using Python and SQL • 5 years experience building and consuming APIs to drive complex data integrations across distributed systems. • 5 years experience migrating or building large-scale architectures on GCP. • 4+ years in a Senior or Staff capacity, overseeing large-scale distributed systems. • 2+ years Practical experience using LLM APIs or building GenAI-enabled applications • Experience in a "Product-led" engineering environment where you have directly influenced product features through technical capability.

🏖️ Benefits

• 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 • 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.