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Archer · 1 day ago

Sr Staff Modeling Engineer - Powertrain

San Jose, CA

Full-time

Onsite

Senior Level, Lead/Staff

$177K/yr - $226K/yr

8+ years exp

Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. The Sr Staff Modeling Engineer will be responsible for designing and implementing comprehensive modeling architectures for electric powertrain systems, developing optimization strategies, and leading technical integration efforts within the powertrain team.

AerospaceAir TransportationElectric VehicleManufacturing

No H1B

Responsibilities

Design and implement comprehensive modeling architectures for electric powertrain systems spanning multiple fidelity levels (low-order physics-based to including high-fidelity FEA)

Develop and maintain models for electric motors, inverters, thermal management systems, gearboxes, and power distribution systems

Create integrated multi-physics models coupling electrical, thermal, mechanical, and controls domains

Establish modeling standards, unit tests, best practices, and validation protocols across the powertrain team

Design, develop and deploy a robust automation framework to streamline simulation, analysis and benchmarking of powertrain models with test data

Develop and deploy advanced optimization strategies including genetic algorithms, gradient-based methods, and multi-objective optimization frameworks

Interface optimization routines with vehicle-level simulation tools to evaluate system-level performance trades

Create efficient parametric models enabling rapid design space exploration

Implement surrogate modeling and reduced-order modeling techniques for computationally expensive analyses

Serve as technical liaison between powertrain modeling, vehicle simulation team, and EEC (Electronic Engine Control) software developers

Define interface requirements and data exchange protocols between subsystem models and vehicle-level simulations

Collaborate with controls engineers to integrate motor control algorithms and power management strategies into system models

Lead model validation activities against test data and guide instrumentation requirements

Perform sensitivity analyses and uncertainty quantification to guide robust design decisions

Drive innovation in modeling methodologies to reduce computational time while maintaining accuracy

Develop digital twin frameworks for predictive maintenance and performance monitoring

Qualification

MATLAB/SimulinkPythonModelingSimulationOptimization techniquesSoftware engineeringElectric powertrain systemsFEA toolsModel-Based Systems EngineeringControls systemsLeadershipCommunication skillsStrategic thinkingSelf-motivated

Required

Master's or Ph.D. in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, or related field

8+ years of experience in modeling and simulation with at least 3 years in a senior technical role

Expert-level proficiency in MATLAB/Simulink and Python for modeling and analysis

Strong software engineering skills including version control (Git), object-oriented programming, and code architecture

Proven ability to develop both high-fidelity and reduced-order models appropriate for different design phases

Deep knowledge of optimization techniques including genetic algorithms, particle swarm, simulated annealing, and gradient-based methods

Demonstrated leadership in technically complex projects with cross-functional teams

Excellent communication skills with ability to explain complex technical concepts to diverse audiences

Strategic thinking with ability to balance high-fidelity accuracy with computational efficiency

Self-motivated with ability to work independently and drive technical initiatives

Understanding of controls systems and ability to integrate control strategies into plant models

Preferred

Experience with certification and airworthiness requirements (strong plus)

Previous experience in aerospace, eVTOL, or electric vehicle industries

Publications or patents in powertrain modeling or optimization

Background in electric powertrain systems including: Electric motor design and performance modeling (PMSM, induction, etc.), Power electronics and inverter operation, Thermal management systems and heat transfer, Gearbox and mechanical drivetrain modeling, Battery systems and energy storage (plus)

Experience with FEA tools (ANSYS, COMSOL, or equivalent) for multi-physics analysis

Experience with Model-Based Systems Engineering (MBSE) tools

Knowledge of DO-178C or similar safety-critical software standards

Familiarity with real-time simulation and hardware-in-the-loop (HIL) testing

Experience with high-performance computing and cloud-based simulation platforms

Background in certification and qualification of models for aerospace applications