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—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 3DEXPERIENCE (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.