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In-Vehicle Network Analysis Tools Engineer

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?

Ford's Electric Vehicles, Digital and Design (EVDD) team is charged with delivering the company's vision of a fully electric transportation future. EVDD is customer-obsessed, entrepreneurial, and data-driven and is dedicated to delivering industry-leading customer experience for electric vehicle buyers and owners. You'll join an agile team of doers pioneering our EV future by working collaboratively, staying focused on only what matters, and delivering excellence 

We are seeking an innovative and experienced In-Vehicle Network Analysis Engineer to contribute to our efforts in network performance modeling and analytics. This role is critical for ensuring the scalability and stability of our next-generation vehicle architecture. In this strategic, hands-on role, you will be responsible for turning complex network data into actionable insights. You will develop the tools, define the key metrics, and build the team that will provide the data-driven foundation for all network-related architectural decisions. Your leadership will be key as you work to establish a center of excellence for network analysis, enabling our platforms to evolve with confidence.

You'll have...
 

• Bachelor's degree in computer engineering, Computer Science, Electrical Engineering, or a related field, or equivalent combination of relevant education and experience.
• Software Developer first. 2+ years of work experience in software engineering, with a focus on data analysis, tool development, or back-end systems
• 2+ years of experience applying knowledge of network architecture, protocols, and communication standards (Ethernet, CAN, LIN)
• 2+ years of experience in test-Driven Development (TDD) with Gherkin for writing clear, concise, and executable specifications
• 2+ years experience in developing analytical tools and defining metrics (KPIs) to measure system performance.
• 2+ years of experience programming in languages such as Python, C++, or Java.

Even better, you may have...
 

• Master's degree in computer engineering, Computer Science, Electrical Engineering, or a related field
• 1+ years of experience in Network Analysis and Simulation tools
• 1+ years of work experience with tools development for Embedded Systems
• Experience with data science, statistical analysis or machine learning techniques
• 2+ years of work experience with Autosar Classic and Adaptive architecture and industry standard formats (DBC, ARXML)

You 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!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:
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.

This position is a salary grades 6 -8 and ranges from $85,400-$192,900.,
Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.
For more information on salary and benefits, click here: 

Visa sponsorship is not available for this position. 
 

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
 

We are an Equal Opportunity Employer. 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 1-888-336-0660.
 

This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid
  #LI-JS1

What you'll do...
 

• Design and implement scalable and composable software solutions for in-vehicle network bandwidth analysis, message latency tracking, and functional coupling measurement.
• Research, define, and implement a relevant set of KPIs for network modeling, performance analysis, and change management to proactively identify risks and opportunities.
• Develop and maintain sophisticated network simulation models to conduct 'what-if' analysis, proactively predicting the impact of new features and architectural changes on bandwidth, latency, and overall performance.
• Translating complex network analysis results into clear, concise reports and dashboards for architects, feature owners, and executive leadership to guide strategic decisions.
• Integrate network analysis tools and KPIs into the CI/CD pipeline to provide continuous feedback on the health and performance of the vehicle network throughout the development lifecycle.
• Work closely with Network Architects and Platform experts to validate architectural choices, assess the impact of new features, and provide data to support optimization efforts.
• Set the standard for software quality, test-driven development, and agile methodologies within your team to ensure the delivery of robust and maintainable analysis tools.