Irvine, CA, USA
8 days ago
Staff Powertrain Performance Modeling Engineer

Your lines of code will make our future more sustainable. As a systems engineer you will develop, modify, and correlate physics-based models for the system and subsystems that accurately predict vehicle performance. Your optimization will fight physics to find the most desirable outcome for the vehicle and our customers. You will work closely across functional teams to identify gains in efficiency and model/predict and test them.  

 

What you’ll be able to do: 

Create and modify tools of different fidelity for range and performance prediction  Create tools for system and vehicle level cost/performance and assess trade-offs  Integrate control systems & plant models from other functional domains  Platform-level optimization for vehicle attributes  Run sensitivity analyses to understand the design space and tradeoffs  Create vehicle-aligned component and system targets for function, cost, weight and more  Work with fleet data and make model improvements with on-road vehicle usage data and homologation cycles   Lead and contribute to design reviews, test plans, and requirements reviews to further optimize vehicle efficiency and performance cross functionally  Enable effective communications with subsystems and other engineering teams to deliver optimal design solutions  Support presentations of concepts and status to senior management and internally to Company personnel in an integration and subject matter expert role

What you’ll receive in return: 

As part of the Ford family, you’ll enjoy excellent compensation and a comprehensive benefits package that includes generous PTO, retirement, savings and stock investment plans, incentive compensation and much more. You’ll also experience exciting opportunities for professional and personal growth and recognition. 

If you have what it takes to help us redefine the future of mobility, we would love to have you join us.

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. Visa sponsorship is available for this position. 

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual 

 At Ford, the health and safety of our employees is our top priority.  Vaccination has been proven to play a critical role in combatting COVID-19.  As a result, Ford has made the decision to require U.S. salaried employees to be fully vaccinated against COVID-19, unless employees require an accommodation for religious or medical reasons.  Being fully vaccinated means that an individual is at least two weeks past their final dose of an authorized COVID-19 vaccine regimen.  As a condition of employment, newly hired employees will be required to provide proof of their COVID-19 vaccination or an approved medical or religious exemption. 

 

 

The minimum requirements we seek: 

B.S. in Aerodynamics/Electrical/Mechanical Engineering, Physics, or a related field  5+ years of experience of developing physics-based models and an understanding of how that relates to vehicle performance  1+ year of experience homologating and launching a new product  High proficiency in any of Python/Matlab/Simulink/Dymola   Experience with JIRA/Confluence or a similar system for tracking inputs/results  

Preferred Requirements: 

Masters or PhD Aerodynamics/Electrical/Mechanical Engineering, Physics, or a related field  Experience with controls strategies for vehicle powertrain/dynamics systems  Experience with Microsoft Office, Confluence, and Jira applications  Experience with instrumentation and measurement of homologation cycles  Strong written and verbal communication skills  An eagerness to work cross-functionally in a dynamic environment where you are part of a high performing team  A system approach to design and development with the desire and curiosity to strive for exceptional delivery execution and continuous improvement 
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