EV Range & Performance Engineer

Ford Motor Company; Long Beach (CA); Hybrid; USD 150,000 - 284,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Parental leave

Back-up childcare

Vehicle discounts

Tuition assistance

Paid time off

Paid holidays

Employee resource groups

Job summary

Ford Motor Company is seeking a Systems Engineer within the EVDD team to develop physics-based models predicting vehicle performance and efficiency. You will correlate physics models across subsystems, optimize platform-level attributes, and work with fleet data for on-road improvements.

The role requires strong programming skills (Python/Matlab/Simulink/Dymola) and experience with Jira/Confluence, plus collaboration across multiple teams to deliver optimal design solutions.

Qualifications

• Bachelor's Degree in Aerodynamics/Electrical/Mechanical Engineering, Physics or equivalent combination of relevant education and experience.
• 7+ years of experience developing physics-based models and understanding of vehicle performance.
• 3+ years of experience homologating and launching a new product.
• High proficiency in Python/Matlab/Simulink/Dymola.
• Experience with Jira/Confluence or a similar system for tracking inputs/results.

Responsibilities

• 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.

Skills

Python

Matlab

Simulink

Dymola

Jira/Confluence

Education

Bachelor's degree in Aerodynamics/Engineering/Physics

Masters or PhD (advantage)

Tools

Jira/Confluence

Job description

Ford Motor Company is seeking a Systems Engineer within the EVDD team to develop physics-based models predicting vehicle performance and efficiency. You will correlate physics models across subsystems, optimize platform-level attributes, and work with fleet data for on-road improvements.

The role requires strong programming skills (Python/Matlab/Simulink/Dymola) and experience with Jira/Confluence, plus collaboration across multiple teams to deliver optimal design solutions.