Job description

In this position... This is an opportunity to work in a research environment defining the next generation of emissions and aftertreatment simulation. As diesel and gas powertrains evolve toward hybridization and electrification, the underlying simulation infrastructure must be reinvented to keep pace. In this role, you will research and build the simulation architectures needed to integrate models of fundamentally new system concepts — including hybridized gas/diesel emissions controls and electrified aftertreatment components such as electric DPFs and electrically heated catalysts — well before they exist in any production toolchain. What you'll do... You will work alongside teams developing engine, combustion, aftertreatment, and controls models, with a focus on exploring how these models can be connected, represented, and evolved to support technologies that don't yet have established simulation methods. On a three to five year research horizon, you will also investigate how Agentic AI can be embedded directly into the simulation pipeline — to automate model calibration, accelerate integration, and fundamentally change the speed and quality of simulation. This role is suited for someone who wants to operate at the leading edge of simulation research, prototyping new approaches and helping define the roadmap. Research: Next-Generation Simulation Architecture: • Research and prototype simulation architectures capable of integrating models for hybridized gas/diesel emissions control systems, enabling early-stage development and analysis of concepts ahead of production readiness. • Develop and integrate models for electrified aftertreatment components — electric DPFs, electrically heated catalysts, and other emerging technologies — in close collaboration with hardware, combustion, and controls research teams. • Explore new co-simulation and model-integration methods needed to combine models across teams, tools, and fidelity levels for these next-generation systems, where standard interfaces and workflows may not yet exist. • Build proof-of-concept integration frameworks and demonstrate feasibility before handoff toward broader adoption. Research: Agentic AI in the Simulation Pipeline: • Investigate and prototype the application of Agentic AI within the simulation pipeline — for example, automated model calibration, intelligent scenario/test generation, self-diagnosing integration issues, or AI-assisted model reduction — on a 3–5 year roadmap. • Evaluate emerging AI/ML and simulation tools and methodologies, assess their applicability to emissions and aftertreatment simulation, and build early demonstrations of value. • Partner with technical leadership to help shape the long-term research roadmap for simulation of electrified and hybridized emissions systems. Supporting Collaboration: • Engage with teams building engine, emissions, and aftertreatment models (using GT-Power, WAVE-RT, and in-house tools) to understand existing modeling approaches and identify where next-generation architectures can build on or diverge from them. • Document research findings, architectural concepts, and prototype results to inform future integration efforts. You'll have... • Master's degree in Mechanical / Chemical / Automotive / Controls Engineering or a related field • 3+ years of experience in engine, emissions, or aftertreatment simulation (e.g., GT-Power, WAVE-RT, or similar 1D/0D simulation tools) • Experience developing or integrating physics-based models of combustion, emissions, or aftertreatment systems • Programming background in Python, MATLAB/Simulink, or C/C++ • Demonstrated ability to research, prototype, and independently drive open-ended technical problems to a working solution • Strong written and verbal communication skills, with the ability to document and present research findings to technical and non-technical audiences Even better, you may have... • PhD in Mechanical / Chemical / Automotive Engineering or a related field, with a focus on combustion, emissions, aftertreatment, or controls • Experience with hybrid/electrified powertrain systems and their emissions control implications • Familiarity with electrified aftertreatment technologies (e.g., electric DPFs, electrically heated catalysts) • Experience with co-simulation frameworks and model integration across multiple tools and fidelity levels (e.g., FMI/FMU, model-based systems engineering) • Hands-on experience applying machine learning, AI, or agentic AI frameworks to engineering simulation or calibration workflows • Experience with model calibration/optimization techniques and automation tooling • Published research, patents, or conference presentations in simulation, emissions control, or aftertreatment systems • Ability to work effectively across cross-functional research teams, translating ambiguous, forward-looking concepts into concrete prototypes • Initiative, curiosity, and comfort operating in a research environment without established workflows or precedent 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 childcare 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 range of salary grades 7-8 and ranges from $99,600 – 192,900.00 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: fordcareers.co 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 with a requirement to be onsite four or more days per week. #LI-Hybrid #LI-KD1

Requirements

Must-haves

In this position...
What you'll do...
This role is suited for someone who wants to operate at the leading edge of simulation research, prototyping new approaches and helping define the roadmap.
Research: Next-Generation Simulation Architecture:
Research and prototype simulation architectures capable of integrating models for hybridized gas/diesel emissions control systems, enabling early-stage development and analysis of concepts ahead of production readiness.
Explore new co-simulation and model-integration methods needed to combine models across teams, tools, and fidelity levels for these next-generation systems, where standard interfaces and workflows may not yet exist.
Build proof-of-concept integration frameworks and demonstrate feasibility before handoff toward broader adoption.
Evaluate emerging AI/ML and simulation tools and methodologies, assess their applicability to emissions and aftertreatment simulation, and build early demonstrations of value.
Partner with technical leadership to help shape the long-term research roadmap for simulation of electrified and hybridized emissions systems.
Document research findings, architectural concepts, and prototype results to inform future integration efforts.
You'll have...
Master's degree in Mechanical / Chemical / Automotive / Controls Engineering or a related field
3+ years of experience in engine, emissions, or aftertreatment simulation (e.g., GT-Power, WAVE-RT, or similar 1D/0D simulation tools)
Experience developing or integrating physics-based models of combustion, emissions, or aftertreatment systems
Programming background in Python, MATLAB/Simulink, or C/C++
Demonstrated ability to research, prototype, and independently drive open-ended technical problems to a working solution
Strong written and verbal communication skills, with the ability to document and present research findings to technical and non-technical audiences
Even better, you may have...
PhD in Mechanical / Chemical / Automotive Engineering or a related field, with a focus on combustion, emissions, aftertreatment, or controls
Experience with hybrid/electrified powertrain systems and their emissions control implications
Familiarity with electrified aftertreatment technologies (e.g., electric DPFs, electrically heated catalysts)
Experience with co-simulation frameworks and model integration across multiple tools and fidelity levels (e.g., FMI/FMU, model-based systems engineering)
Hands-on experience applying machine learning, AI, or agentic AI frameworks to engineering simulation or calibration workflows
Experience with model calibration/optimization techniques and automation tooling

Nice-to-haves

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Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlpythonmachine learning

Platform: career-feeds
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

Paid Time Off

Parental Leave