Job Overview:
The Attributes Convergence Lead
Engineer is responsible for ensuring that all vehicle-level performance
attributes (such as weight, NVH, durability, safety, thermal, dynamics, Energy
Management, cost, and customer experience metrics) are optimized and converged
to meet program targets across all development phases. This role acts as the central integrator,
aligning cross-functional teams—CAE, design, feature owners, benchmarking, VoC,
Testing, and program management—to deliver a balanced, optimized vehicle.

Position
Responsibilities:

·
Develop and maintain the Attributes
Convergence Plan, including gateways, timing, criteria, and report-out
structure.

·
Communicate
gaps, risks, and recovery plans with clear engineering justification.

Facilitate
alignment between:

• 
  Design engineering
• 
  CAE teams
• 
  Vehicle Attributes team (PQ, A&U, NVH,
  safety, durability, CFD, weight, dynamics, thermal, Energy Management etc.)
• 
  Vehicle architecture teams
• 
  VOC & Benchmarking
• 
  Testing Team

Ensure attribute compatibility and synergy—balance
trade-offs such as weight vs. durability, NVH vs. cost, performance vs.
efficiency:

• 
  Assess engineering change proposals for
  attribute impact.
• 
  Own attribute risk registers and
  convergence dashboards.
• 
  Lead cross-functional war rooms when
  attribute deviations are identified.
• 
  Present convergence status to program
  leadership reviews.
• 
  Ensure full traceability from targets →
  design inputs → CAE results → validation.

Requirements

• 
  Bachelors,
  Master’s from accredited University. Mechanical / Automotive / Specialized
  in Attributes Performance
• 
  8–12 years
  of automotive engineering experience, preferably in vehicle attributes,
  CAE, or vehicle integration.
• 
  Experience with Electric/ REEV vehicle
  program development from concept to SOP.
• 
  Strong working knowledge of CAE and CAD
  environments (CATIA,), with the ability to interpret simulation outputs and
  understand design changes without performing hands‑on analysis or modeling
• 
  Strong
  working knowledge of Agile methodologies and JIRA, with the ability to
  effectively track, manage, and execute project tasks within the JIRA
  environment.

• 
  Leadership ability in a multidisciplinary
  engineering environment.
• 
  Familiarity with industry standards and
  regulatory requirements of all performance Attributes
• 
  Strong communication and cross-functional
  leadership
• 
  Conflict resolution and negotiation skills
• 
  Structured reporting and executive
  communication
• 
  Program management and decision-making