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In - Vehicle Network Architect

Ford

In - Vehicle Network Architect

Ford

Dearborn, MI, United States, US

·

On-site

·

Full-time

·

1mo ago

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?

In this position... 

Join Ford as an In-Vehicle Network Performance Architect. In this individual contributor role, you will own the vision, standards, and operating model for network performance modeling and continuous performance insight across complex Ethernet/CAN-FD/LIN vehicle networks. You will build and maintain high-fidelity models to predict latency/jitter/utilization and coupling, run data-driven studies that shape architecture decisions, forecast lifecycle growth, and use SIL/HIL/vehicle data pipelines and dashboards to detect and respond to emerging performance risks during development

Ford’s Network Architecture organization is advancing faster, data-driven end-to-end network thinking that unifies software, hardware, and platform programs. As the In-Vehicle Network Performance Architect, you will act as the technical product owner for Ford’s network performance modeling and monitoring capability—defining “what good looks like,” standardizing methods, and ensuring the right performance insights are produced at the right time in the systems engineering and architecture lifecycle.

This role blends architecture/systems engineering judgment with real-world complex network performance analysis. The ideal background may come from automotive or adjacent domains (defense, aerospace, networking/IT, distributed systems), but must include experience with vehicle communications (Ethernet, CAN/CAN-FD, LIN).

 

What you'll do...

1) Product Ownership for Network Performance Modeling & Insight

 

· Own the vision, roadmap, and standard work for network performance modeling, simulation, and integration-time monitoring across vehicle programs.

 

· Define performance modeling “contracts”: assumptions, required inputs, model fidelity tiers, scenario libraries, calibration approach, and output formats for decision-making.

 

· Establish and track adoption KPIs (coverage, turnaround time, prediction accuracy, regression detection time).

 

2) High-Fidelity Modeling & Simulation

 

· Build and maintain high-fidelity simulation and analytical models to predict network latency, jitter, utilization, congestion behavior, and coupling across mixed Ethernet/CAN-FD/LIN topologies.

 

· Ensure models reflect real architectural complexity (gateway effects, contention, burstiness, protocol overheads, scheduling/priority behaviors, growth in variants/features).

 

3) Data-Driven Studies to Drive Architectural Shifts

 

· Participate in quantitative trade studies to recommend architectural changes (topology, bandwidth allocation, segmentation strategies, gateway strategy, timing/priority strategies).

 

· Produce decision-ready outputs: expected deltas, confidence level, sensitivities, risks, and clear mitigation options.

 

4) Lifecycle Forecasting: Bus Load & Memory Utilization

 

· Create forecasting models to project bus load/bandwidth headroom and memory utilization over the vehicle lifecycle.

 

· Define growth envelopes and triggers so the architecture remains viable as future features/services expand.

 

5) Integration-Time Performance Monitoring & Rapid Response

 

· Define and drive the approach to monitor trends during development/integration using SIL/HIL/vehicle logs and dashboards.

 

· Build/enable a closed-loop system: model predictions ↔ integration measurements ↔ updated assumptions/calibration.

 

· Lead rapid performance investigations (root-cause hypotheses, targeted analyses, recommended corrective actions) when programs hit latency/jitter/utilization/coupling issues.

 

6) Embed Performance into the Systems Engineering Lifecycle

 

· Integrate network performance artifacts into architecture and change-control workflows: performance budgets, guardrails, regression checks, and sign-off criteria.

 

· Represent network performance in technical reviews and governance, clearly communicating tradeoffs and risk

You'll have...

Bachelor’s degree in Computer Science, Electrical/Computer Engineering, Systems Engineering (or equivalent experience).

7+ years engineering experience in complex systems, including deep experience in network performance modeling/analysis.

Demonstrated ability to build and apply models to predict/explain latency, jitter, utilization, and coupling in multi-node networks.

Real hands-on knowledge of Ethernet, CAN/CAN-FD, and LIN in a vehicle context (constraints, failure modes, integration realities).

Strong software engineering skills (Python, C++, or similar) used for analysis automation, repeatability, and traceability.

Ability to lead cross-functional technical decisions without formal authority (IC leadership).

 

Even better, you may have...

Master’s degree in a related field.

Experience with time-sensitive networking concepts and/or real-time systems timing analysis approaches.

Familiarity with AUTOSAR (Classic/Adaptive) and automotive network toolchains (DBC/ARXML) is a plus.

Experience building integration-time performance observability (log parsing pipelines, dashboards, regression detection, automated reporting).

Background in defense/aerospace/telecom/networking/IT performance engineering applied to safety/mission-critical systems.

 

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 leadership level 6 and ranges from $129,600-244,680.

 

 

For more information on salary and benefits, click here: https://fordcareers.co/LL6

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.

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About Ford

Ford

Ford

Public

The Ford Motor Company is an American multinational automobile manufacturer headquartered in Dearborn, Michigan, United States. It was founded by Henry Ford and incorporated on June 16, 1903.

10,001+

Employees

Dearborn

Headquarters

$48B

Valuation

Reviews

3.4

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.9

Management

2.3

45%

Recommend to a Friend

Pros

Good pay and benefits

Decent work-life balance options

Learning and advancement opportunities

Cons

Poor management and favoritism

Mandatory overtime and exhausting schedules

Limited growth opportunities

Salary Ranges

36 data points

Mid/L4

Senior/L5

Mid/L4 · ADAS Data Analytics Engineer

1 reports

$132,847

total / year

Base

$102,190

Stock

-

Bonus

-

$132,847

$132,847

Interview Experience

5 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer Rate

40%

Experience

Positive 40%

Neutral 40%

Negative 20%

Interview Process

1

Phone Screen

2

Technical Interview

3

Behavioral Interview

4

Final Round Interview

Common Questions

Behavioral

Technical

Assessment