RAE Controls Engineer

Overview

At Ford, you’ll work on ideas that matter, alongside passionate people who want to make a global impact. Together, we’re shaping the next era of transportation - grounded in purpose, driven by progress. Make your move.

Job Type: Full time

Work Type: Hybrid

In this position...

Do you have what it takes to make smart vehicles for a smart world? Join the Ford Research and Advanced Engineering team, where you’ll work with a cross-functional team of highly technical engineers to deliver chassis (steering, brakes and suspension) and driveline systems for conventional and electrified vehicles of the future. We’re seeking forward-thinking, laser-focused professionals with a passion for bringing innovative, exciting, and sustainable ideas to life. We apply our knowledge of control algorithms, systems engineering methods, modeling and simulation to develop vehicle controls that enable new technologies and functions for future conventional and electrified vehicles. Our goal is to continuously improve the capability, robustness and value of our vehicles. As a team, we are relentless about continuous improvement for the entire control system development process.

We are seeking a highly technical professional who will develop control systems for our newest technologies. You will focus on analyzing customer needs and defining required architecture and functionality early in the development cycle, modeling and simulating propulsion system operation, designing and implementing control algorithms, and validating designs in desktop simulation, hardware benches, test stands and prototype vehicles. Successful candidates for this position will possess a track record of strong independent thinking, effective communication, self-motivation, complex system troubleshooting, and thrive in an environment where they need to understand the complete workings of controls and the complex interactions between subsystems.

What you'll do...

Develop control algorithms for advanced systems to deliver vehicle attributes, including control architecture selection, algorithm simulation, implementation, and verification and validation via leveraging a combination of model-in-the-loop (MIL), software-in-the-loop (SIL), hardware-in-the-loop (HIL) and vehicle test environments

Leverage, subsystem and component-level CAE models to analyze dynamic systems and complex system interactions, and to support concept analysis and verification, parameter optimization, and controls/design verification and validation

Define and review physical system testing and characterization to validate CAE models and guide control system design

Provide controls and software support to Systems Engineering and Functional Safety work partners

Create and maintain comprehensive documentation to support global engineering and quality processes, and to facilitate technology transfer: system models, use cases, requirements, design validation tests, and methods

Support and present research on the application of advanced controls and methods for advanced chassis and driveline systems

Leverage connected vehicle technologies (wireless communication, location and route data, cloud-compute resources, AI/ML techniques, etc.) to improve customer experience with enhanced controls and prognostics

You'll have...

B.S. or equivalent in mechanical, aerospace, electrical, systems engineering or similar field with a control systems focus

3+ years of experience in dynamic systems modeling and real-time controls development for automotive or similar complex electromechanical systems

3+ years in xEV (Motor, Inverter, High Voltage) vehicle controls development

Understanding of automotive systems and controls, and vehicle dynamics with fundamental knowledge of general dynamics, hydraulics, electric machines, batteries, internal combustion engines, and mechatronic actuators

Understanding and ability to apply advanced control theory including filtering techniques, state estimation, feedback controls, Model Predictive Control, etc.

Demonstrated ability to develop embedded controls software and supporting analysis tools in Model-based and hand-code environments using a combination of MATLAB/Simulink, C/C++ and Python

Experience with standard systems engineering tools including boundary diagrams, fault tree analyses, FMEAs, P-diagrams, etc.

Demonstrated excellence in problem-solving (with a passion for technology development)

Demonstrated effective communication, documentation, and interpersonal skills in a team environment. Proven ability to work well with others as part of a diverse global team

Even better, you may have...

M.S. or equivalent in mechanical, aerospace, electrical, systems engineering or similar field

3+ years of experience in distributed systems engineering including requirements management, function decomposition and allocation, failure mode avoidance, robustness analysis, and system validation and verification

Experience using AI Assistants such as GitHub Copilot for efficient software development

Experience working in Linux, Unix, and Windows environments

Experience with unit testing platforms for tools development (pytest, Google Test, Ceedling)

Experience with modern build systems (Bazel, Gradle) and continuous integration and continuous delivery systems (Jenkins, GitHub Actions)

Experience with longitudinal controls for xEV systems (series hybrid, parallel hybrid, mild hybrid, battery electric, fuel cell)

Familiarity with ISO26262 engineering tools including Hazard Analysis, Functional Safety Concept, Safety Requirements Specification, Functional Safety Requirements, Technical Safety Requirements

Hands-on experience with distributed system prototyping, troubleshooting, and commissioning

Experience with standard version control and collaboration systems (ClearCase, AccuRev, git, GitHub)

Experience applying CAE (MIL/SIL/HIL, virtual system/plant models, regression testing) concepts and CI (Jenkins, GitHub, Gradle) tools in robust system controls development

Knowledge of automotive communication protocols (CAN, LIN) and experience with analysis tools including CANalyzer, CANape, CANLab, etc.

Familiarity with Ford development processes GTDS and GPDS

Familiarity with Ford systems engineering systems and tools including VSEM, FEDE, Stages, FRD, HLF

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 grade 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: https://fordcareers.co/GSR

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.

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.

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