Lead Engineer - AVA

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

5-8 years of relevant experience