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Lead Dimensional Engineer – Autonomous Vehicle Sensors
Job in
San Mateo, San Mateo County, California, 94404, USA
Listed on 2026-07-16
Listing for:
Artech
Full Time
position Listed on 2026-07-16
Job specializations:
-
Engineering
Mechanical Engineer
Job Description & How to Apply Below
Dimensional Management Engineer
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.
RequiredSkills & Qualifications
- 8 to 10 years of dedicated experience in dimensional management, variation simulation, or metrology within the automotive, aerospace, or autonomous robotics sectors.
- Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, Fixture Design Engineering, or a closely related technical field.
- Advanced-level proficiency in ASME Y14.5 GD&T principles, with a proven track record of creating, validating, and optimizing complex technical drawings.
- Strong understanding of Variation Simulation Analysis tools, statistical process control (SPC), and basic statistical concepts (CP, CPK, standard deviation, gauge R&R studies).
- Applicants must be able to work directly for Artech on W2.
Skills & Qualifications
- Practical expertise using CATIA V6 and 3
DEXPERIENCE (3DX) to visualize, manipulate, and interrogate 3D models for dimensional evaluation. - Experience in autonomous sensor architecture, specifically the unique dimensional, structural, and alignment requirements of AV sensor suites (LiDAR, Radar, Cameras).
- Prior work experience at client or in client's industry.
- Serve as the ultimate dimensional authority for sensor integration across parallel vehicle platforms, successfully managing massive architectural workloads concurrently.
- Lead the upfront definition of vehicle build and commodity-specific functional requirements to establish an ironclad baseline for downstream DVA validation.
- Provide active architectural loop feedback regarding layout changes needed to make the vehicle body and sensor brackets reliably assemblable.
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