Methods and Software Engineer

Ford Motor Company•Allen Park, MI

58d•Hybrid

About The Position

The Ford Racing Motorsports Performance Engineering Group is seeking a Methods & Software Engineer to support and development of our Vehicle Dynamics, Aerodynamics and Performance Engineering tool set. This role will be responsible for developing and adapting tools that fit into an enterprise architecture strategy that aligns with business objectives, data mesh principles, and distributed cloud-native systems. In this position... The Methods & Software Engineer will deliver projects and features to support simulation, prototype testing, wind tunnel testing, CFD and total vehicle performance. In this position, you will collaborate directly and continuously with technical engineering groups and software development partners to deliver enterprise level solutions across a wide array of programs. The team is focused on building software to realize efficiencies across multiple platforms, leveraging existing software base and Google Cloud Platform, (GCP), functionality. This is a hybrid role and requires at least 4 days per week in the Concord, NC (preferred) or Allen Park, MI office. We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves?

Responsibilities

Tool Development
Develop and consolidate tools to integrate with next generation simulation architecture.
Design software to increase efficiency of technical teams with a fully integrated approach.
Focus on modern application design with a modular framework for integration with multidisciplinary systems.
Enterprise & Cloud Architecture
Support the technical vision and strategy for cloud modernization, leveraging Google Cloud Platform (GCP).
Design, implement and integrate scalable, resilient, and secure cloud-native architectures, integrating machine learning, big data, and observability solutions.
Establish best practices for automation, CI/CD, and DevSecOps to drive operational efficiency and software quality.
Support technical governance to ensure alignment with business objectives, security policies, and compliance requirements.
Data & AI Enablement
Assist Principal Architect and implement event-driven data architectures that support data mesh principles, data as a product, and domain-driven design (DDD).
Collaborate with Principal Architect and software groups to define strategies for data interoperability, governance, and self-service platforms to enable AI and analytics-driven decision-making.
Contribute to the adoption of MLOps practices, ensuring seamless deployment and monitoring of machine learning models in production.
Technology & Collaboration
Collaborate with engineering teams to define scalable and cost-efficient architectural solutions.
Work with engineers and developers, fostering a culture of continuous learning and technical excellence.
Drive technical innovation by researching emerging technologies and working cross functionally with technical groups to bring new technology forward.