Software Architecture Engineering

Ford is seeking a Senior Software Engineer to lead development of core software infrastructure for next-generation Augmented Reality (AR) Head-Up Display (HUD) systems. This role focuses on low-level systems engineering, platform architecture, hardware and software integration, vehicle data ingestion, and real-time AR rendering pipelines. The engineer will work across the stack from vehicle interfaces and sensor inputs to rendering integration and system validation to help transition advanced prototypes toward production-intent systems. Bachelors degree in Computer Science, Electrical Engineering, or equivalent combination of relevant education and experience.7+ years of experience in software engineering or equivalent demonstrable impact7+ years of experience Strong expertise in C++ development for performance-critical systems7+ years of experience with system-level programming (multi-threading, memory, IPC, etc.)7+ years of experience with end-to-end ownership of a complex software subsystem, including architectural definition and implementation.7+ years of experience integrating software with hardware, sensors, cameras, vehicle systems, or embedded platforms.7+ years of experience in work on latency-sensitive or real-time applications with an understanding of performance tradeoffs and constraints. PhD in Computer Science or related field Experience with graphics or rendering systems (Qt, OpenGL, Vulkan) Exposure to AR/VR, HUDs, or display systems Experience with vehicle networks (CAN, Ethernet)Familiarity with ADAS data pipelines or perception systems Experience in prototype-to-production technology development environments Linux or UNIX system experience. Experience with real-time rendering pipelines, shader development, and GPU performance optimization in a shipped game or interactive entertainment productExperience shipping performance-critical, latency-sensitive software in consumer hardware environments (console, PC, or mobile), demonstrating comfort with hardware constraints similar to automotive embedded systemsYou 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!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. 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 View phone number on click.appcast.io.Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #Design and develop low-level, high-performance C++ software supporting AR HUD pipelines, building and maintaining modular platform infrastructure enabling including rendering pipelines, sensor/camera ingestion, and vehicle signal integration while debugging and optimizing memory for threading, and real-time performance constraints.Integrate platform software with real-time AR rendering stacks (e.g., Qt / OpenGL / Vulkan), supporting multi-view / autostereoscopic rendering pipelines while ensuring synchronization between rendering outputs and sensor inputs (eye tracking, cameras).Interface with vehicle data pipelines (CAN/Ethernet) to ingest ADAS signals, navigation and localization data, vehicle state information, and sensor inputs such as LiDAR.Act as a technical owner across software and hardware boundaries, working closely with optics experts, camera experts, the ADAS team, and suppliers to drive technical decisions, evaluate tradeoffs, and mitigate technical risks.Leverage AI-assisted coding tools (e.g., GitHub Copilot, LLM-based code assistants) to accelerate C++ development, refactoring, and unit test generation for performance-critical systems.Leverage 3D rendering engine coding experience (e.g., Unity, Unreal Engine, or custom rendering engines) to inform shader development, scene composition, and real-time rendering optimizations within the Qt/OpenGL/Vulkan AR HUD pipeline.