Weight and Performance Engineer

Develop and manage vehicle weight attributes-including kerb weight, gross vehicle weight (GVW), and axle loads-throughout the product development lifecycle.

Collaborate with design and packaging teams to monitor and control weight targets at both system and component levels.

Collect and organize benchmark data for vehicle and system-level weights, along with relevant specifications, using standardized templates.

Perform foundational data analyses such as footprint analysis, trend identification, and regression analysis to support weight target setting.

Establish correlations between vehicle performance and weight, and apply these insights to define and refine weight targets.

Facilitate weight review workshops with Centers of Excellence (CoEs) to achieve consensus and formal sign-off on weight targets.

Regularly release updated system weights, weight distribution data, and center of gravity (CoG) reports to CoE teams.

Compile system-level CoG data and calculate overall vehicle CoG and Static Stability Factor (SSF).

Estimate CoG based on vehicle architecture parameters and conduct sensitivity analyses to assess design impacts.

Lead CFMEA (Concept Failure Mode and Effects Analysis) and CVP (Concept Validation Plan) workshops with CoEs for new vehicle concepts.

Identify relevant performance domains and associated DVPs (Design Verification Plans), and establish system-performance relationships.

Assess mule vehicle requirements and evaluate risks associated with new design concepts.

Support trade-off studies to balance weight, cost, and performance, enabling informed engineering decisions.

Compile engineering targets across various performance domains and manage the approval process for the target book.

Capture lessons learned from previous projects related to vehicle weight and performance, ensuring their integration into current and future programs.

Develop and validate system-level 1D simulation models using tools such as GT-SUITE , AMESIM , and COMSOL , defining objectives, parameterizing performance targets, modeling system-function relationships, applying constraints, and verifying results