Archer
BMS Simulation Engineer - (SJ2026SP)
About this role
Archer seeks a BMS Simulation Engineer to lead battery management system modeling and simulation efforts for their electric aircraft development. You'll develop reduced-order models, manage simulation libraries, validate performance through SIL/HIL testing, and collaborate across teams to ensure accurate battery system behavior prediction.
What you'll do
- Lead BMS simulation modeling and coordinate with battery engineering teams and subject matter experts
- Define simulation requirements in collaboration with stakeholders and develop reduced-order models for complex systems
- Manage and maintain multi-fidelity model libraries for battery and control simulations
- Validate models through testing and analysis; identify and resolve errors, faults, and failures
- Create test cases and scripts for unit, Software-in-the-Loop, and Hardware-in-the-Loop testing environments
- Execute SIL/HIL system tests under various operational scenarios and support test automation
What they're looking for
- Battery management system (BMS) simulation and modeling
- Reduced-order modeling and model reduction techniques
- Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) testing
- Control systems and software validation
- MATLAB/Simulink or equivalent simulation tools
- Data analysis and performance metrics generation
- Test automation and scripting
- Automotive or aerospace systems engineering
Opens the application — the Jobs AI extension fills it for you. Set up autofill
Opens the official application on the employer’s site. No login required.
Archer
Archer develops all-electric vertical takeoff and landing (eVTOL) aircraft for sustainable aviation. The company is hiring engineers across electrical integration, software, aerodynamics, and controls to build and validate autonomous flight systems, propulsion architectures, and aircraft design.
View all jobs at ArcherLikely interview questions
- Walk us through your experience developing and validating battery models in automotive or aerospace applications.
- Describe a complex simulation project where you created reduced-order models—what were the tradeoffs you made between fidelity and computational efficiency?