F

Ford Motor Company

Builds vehicles for drivers and commercial fleets

Director – Core Runtime & Platform Engineering

Engineering LeadershipUpdated on Nov 14
Full-timeLong Beach, CA, USANo salary listed

About the Job

Requirements

  • A bachelor's degree in Computer Science, Electrical Engineering, or a related field.
  • At least 10 years of experience in software, platform, or infrastructure engineering.
  • At least 5 years of experience leading engineering teams delivering complex systems at scale.
  • Experience building distributed systems, runtime platforms, or edge computing systems.
  • Experience designing and operating cloud-native and hybrid edge-cloud platforms using AWS, GCP, Azure, and Kubernetes.
  • Experience building platform APIs, SDKs, or reusable developer systems.
  • Strong understanding of industrial systems, factory automation, and device integration.
  • Experience in distributed systems and container orchestration using Kubernetes and Docker.
  • Experience in edge computing and real-time systems.
  • Experience with hybrid edge-cloud architectures and distributed control planes.
  • Experience with platform APIs, SDKs, and developer tooling.
  • Experience with industrial communication protocols such as EtherCAT, Profinet, CAN, OPC UA, and MQTT.
  • Experience with streaming and messaging systems such as Kafka, NATS, and Pub/Sub.
  • Experience with observability platforms such as Prometheus, Grafana, and OpenTelemetry.
  • Experience with infrastructure automation, CI/CD, and reliability engineering.
  • Experience building platforms that scale across multiple products, plants, or business domains.

Responsibilities

  • Architect and deliver the runtime platform that powers CoreOS and FMIL across Ford manufacturing environments.
  • Build a secure, scalable execution layer supporting orchestration, device integration, event processing, and platform interoperability.
  • Enable FMIL as the real-time signal, orchestration, and decisioning layer connecting factory systems and applications.
  • Establish platform standards for runtime services, deployment models, lifecycle management, and system interfaces.
  • Drive the evolution of Core from point solutions into a globally managed industrial software platform.
  • Define and deliver platform APIs, SDKs, and shared services that enable ATP products and engineering teams to build on Core.
  • Create reusable primitives for telemetry, eventing, orchestration, device abstraction, identity, and policy control.
  • Establish developer standards, tooling, and integration patterns to eliminate one-off solutions across plants and products.
  • Enable Forge, Sight, Print, Volt, and future platforms to extend Core through standardized interfaces and services.
  • Drive platform adoption by improving developer productivity, consistency, and reuse.
  • Lead development of edge computing platforms for real-time manufacturing environments.
  • Architect distributed systems supporting high-throughput, low-latency workloads across thousands of factory devices.
  • Build resilient edge runtimes supporting local processing, failover, and intermittent connectivity.
  • Establish orchestration patterns across cells, lines, plants, and global manufacturing networks.
  • Own the middleware connecting PLCs, robotics, vision systems, and industrial equipment to Core platforms.
  • Standardize interfaces for telemetry, command/control, and interoperability across manufacturing systems.
  • Define integration patterns across EtherCAT, Profinet, Ethernet/IP, CAN, OPC UA, MQTT, TCP/IP, and gRPC.
  • Build reusable adapters, APIs, and SDKs that simplify onboarding of factory devices and applications.
  • Ensure consistent publishing of factory signals into FMIL and CoreDS.
  • Architect and operate hybrid edge-cloud infrastructure connecting plant environments with centralized cloud platforms.
  • Build and manage cloud-based control planes for orchestration, fleet management, telemetry aggregation, and lifecycle control.
  • Design secure edge-to-cloud patterns enabling global visibility, coordination, and system-level optimization.
  • Develop cloud-native services supporting CoreOS, FMIL, and CoreDS at enterprise scale.
  • Partner with data and enterprise teams to enable scalable storage, compute, and processing capabilities.
  • Implement solutions using AWS, GCP, Azure, Kubernetes, and related technologies.
  • Build real-time ingestion and streaming systems connecting factory signals to CoreDS.
  • Ensure seamless integration between edge-generated data and cloud data platforms.
  • Enable high-fidelity data pipelines supporting AI/ML, diagnostics, analytics, and traceability.
  • Support closed-loop systems where factory signals, insights, and actions continuously improve performance.
  • Contribute to manufacturing data models, access patterns, and system-wide data consistency.
  • Build platform-wide observability across edge and cloud environments using Prometheus, Grafana, and OpenTelemetry.
  • Enable real-time monitoring, alerting, and diagnostics across all deployments.
  • Ensure runtime and telemetry signals are high-quality, structured, and actionable.
  • Support diagnostics and AI/ML systems through reliable signal and data availability.
  • Improve transparency and operational trust across engineering, launch, and plant teams.
  • Define deployment, rollout, upgrade, and rollback strategies across edge, on-premises, and cloud environments.
  • Establish SRE and release engineering practices for mission-critical manufacturing systems.
  • Define SLAs for uptime, latency, reliability, and deployment stability.
  • Lead global rollout of Core platforms aligned to ATP lifecycle models (TRL/MRL/IRL) and launch playbooks.
  • Partner with Launch, Field, Compass, and product teams to enable repeatable, scalable deployments.
  • Build and lead a high-performing engineering organization across runtime, edge, infrastructure, connectivity, and platform domains.
  • Drive engineering excellence in architecture, SDLC, testing, release management, and operational rigor.
  • Develop senior technical talent and create clear career pathways tied to platform and business outcomes.
  • Align execution with ATP operating model, lifecycle governance, and platform priorities.
  • Translate strategy into roadmaps, staffing plans, and delivery execution.
  • Partner with Controls, Diagnostics, Data, and ATP vertical teams to deliver integrated manufacturing platforms.
  • Align with plant operations, global manufacturing engineering, and vehicle programs.
  • Contribute to enterprise standards for software-defined manufacturing and industrial platform architecture.
  • Support system priorities including runtime adoption, AIR integration, diagnostics readiness, and platform reuse.
  • Serve as a key leader in shaping Ford’s software-defined manufacturing platform strategy.

Desired Qualifications

  • Experience with software-defined manufacturing or industrial automation platforms.
  • Familiarity with TRL/MRL/IRL lifecycle models.
  • Experience in automotive or high-volume manufacturing environments.
  • Experience integrating runtime, data, and controls-adjacent systems into unified platforms.

About the Company

Ford Motor Company

Builds vehicles for drivers and commercial fleets

Ford Motor Company designs and builds vehicles for individual drivers and commercial fleets worldwide, spanning Ford trucks and SUVs and Lincoln luxury models. Its Mustang sports car and Bronco off-road vehicles sit alongside gasoline, hybrid and electric products. The company sells vehicles, parts and accessories through dealers, while Ford Pro combines commercial vehicles with fleet software, charging and maintenance services; Ford Credit earns money from customer and dealer financing and leases. Connected services add subscriptions for vehicle features and business operations. Founded by Henry Ford in 1903, the company is headquartered in Dearborn, Michigan.

Company size
10,001+
Company stage
IPO
Headquarters
Dearborn, MI
Founded
1903

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