Dimensional Engineer

• Lead Dimensional Engineer - Autonomous Vehicle Sensors (Multi-Platform)
• This is a high-visibility, mission-critical role within our engineering organization.
• The successful candidate will concurrently own the dimensional management for multiple major vehicle programs, with a massive and technically demanding scope that spans different architectures.
• You will be the bridging authority between advanced sensor hardware, vehicle architecture, and manufacturing assembly.
• If you are a master of dimensional variation who wants to directly impact the deployment of safe, autonomous fleets, this role is built for you.

Core Competencies & Technical Mastery:

• Autonomous Sensor Architecture:
  Deep understanding of the unique dimensional, structural, and alignment requirements of AV sensor suites (LiDAR, Radar, Cameras).
• Advanced Variation Analysis:
  Proficiency in performing both 1D and 3D Dimensional Variation Analysis (DVA) stack-ups to evaluate design feasibility
• GD&T Expertise:
  Advanced-level proficiency in ASME Y14.5 GD&T principles, with a proven track record of creating, validating, and optimizing complex technical drawings.
• CAD & 3DX Interrogation:
  Practical expertise using CATIA V6 and 3
  
  DEXPERIENCE (3DX) to visualize, manipulate, and interrogate 3D models for dimensional evaluation, creating reference geometry (planes, points), and mapping critical functional datums.
• Manufacturing & Assembly Insight:
  Strong foundational knowledge of manufacturing processes and vehicle assembly sequence.
• Communication & Technical Leadership:
  Ability to translate complex statistical variation data into clear, actionable architectural feedback for cross-functional teams and executive leadership.

Key Responsibilities:

• Multi-Program Ownership:
  Serve as the ultimate dimensional authority for sensor integration across parallel vehicle platforms, successfully managing massive architectural workloads concurrently.
• Functional Requirements Definition:
  Lead the upfront definition of vehicle build and commodity-specific functional requirements to establish an ironclad baseline for downstream DVA validation.
• Datum & Tolerance Design:
  Establish robust datum schemes, sensor mounting locator strategies, and tolerance allocations to ensure sensor-to-body and sensor-to-sensor co-calibration stability.
• Fixture Design & Approval:
  Review and formally approve internal and supplier metrology fixture concepts, ensuring alignment with strict program assembly and measurement metrics.
• Measurement & Metrology Strategy:
  Define and implement comprehensive measurement strategies, identifying critical validation points from the single part level up to full vehicle assembly.
• Supplier PPAP &
  
  Collaboration:
  
  Partner directly with Supplier Quality (SQ) to evaluate supplier capability, define acceptable limits, and manage engineering escalations to protect program targets.
• Cross-Functional Feedback:
  Provide active architectural loop feedback regarding layout changes needed to make the vehicle body and sensor brackets reliably assemblable.

Required Experience & Attributes:

• Experience:
  
  8 to 10 years of dedicated experience in dimensional management, variation simulation, or metrology within the automotive, aerospace, or autonomous robotics sectors.
• Education:
  
  Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, Fixture Design Engineering, or a closely related technical field.
• Statistical Rigor:
  Strong understanding of Variation Simulation Analysis tools, statistical process control (SPC), and basic statistical concepts (CP,CPK, standard deviation, gauge R&R studies).
• AV Mindset: A proactive, solutions-oriented professional who thrives in a fast-paced environment and understands that sensor dimensional engineering is a primary driver of vehicle safety and autonomous software performance.