In-Vehicle Software Architect - Networking

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation.

Do you have what it takes to make smart vehicles for a smart world? Join the Ford Product Development team. Utilizing Design Thinking & User Experience methods, you’ll work to deliver breakthrough products and services that delight our customers. We’re seeking forward-thinking, laser-focused professionals with a passion for bringing innovative, exciting, and sustainable ideas to life. We have opportunities around the world for you to contribute to such advancements as autonomy, electrification, smart mobility technologies, and more!

In-Vehicle Software Architect - Networking - positions offered by Ford Motor Company (Allen Park, Michigan). Note, this is a hybrid position whereby the employee will work both from home and from the aforementioned worksite. Hence, the employee must live within a reasonable commuting distance from the worksite. Lead end-to-end design and delivery of optimized distributed system network architectures and inter-system communication across multiple platforms, using a structured systems engineering approach to meet tight timelines.

Define scalable, future-proof architectures and module placement to ensure capacity for new components and long-term platform reliability. Improve network efficiency and reduce congestion by offloading traffic, reconfiguring topology, and strategically relocating components to optimize network segments. Reduce system complexity by removing unused/redundant components and minimizing potential failure points through principled simplification. Strengthen security with secure communications and migration of critical components to protected network domains.

Apply quantitative methods and modeling to component allocation and inter-system communication analysis, optimizing topology and achieving measurable resource savings. Develop and maintain a global component architecture library with standardized modeling terminology, including detailed elements, ports, and communication methods. Author, validate, and maintain network architecture specifications, requirements, and test cases with high test coverage across components and protocols; manage timely architecture releases and optimizations.

Lead domain architecture and physical integration reviews to ensure compliance with standards, and deliver training on complexity assessment techniques while sharing findings at internal/external forums.

Master’s degree or foreign equivalent in Mechanical Engineering, Systems Engineering, Electrical Engineering, Computer Engineering, Computer Science or a related field and 1 year of experience in the job offered or a related occupation. Alternatively, employer will accept a Bachelor’s degree or foreign equivalent in Mechanical Engineering, Systems Engineering, Electrical Engineering, Computer Engineering, Computer Science or a related field and 3 years of experience in the job offered or a related occupation.

Any suitable combination of education, training, or experience is acceptable. 1 year of experience with each of the following skills is required:
1. Lead Model-Based Systems Engineering (MBSE) using SysML to capture requirements, functional architectures, and interfaces; maintain lifecycle artifacts and drive requirements-based testing and change impact analysis.
2. Perform complexity analyses and system-of-systems trade studies across 10+ product lines to reduce variants, quantify tradeoffs, and propose scalable, cost-favorable architecture changes.
3. Invent and apply advanced mathematical modeling and optimization (multi-objective and constrained) to model interactions and optimize latency, power, reliability, and cost; validate with test data and refine algorithms.
4. Build, validate, and interpret dynamic (time-domain) simulation models to evaluate real-world system…