What to ExpectWe are building Terafab, a vertically integrated semiconductor factory at an unprecedented scale. The facility houses logic, memory, packaging, test, and lithography mask production under one roof, optimized for rapid iteration and maximum compute density per square foot. As a Metrology Engineer, you’ll design and deploy the precision measurement systems that define process control, yield, and device performance across our advanced fabrication line. From characterizing nanoscale features in EUV lithography to enabling real-time feedback loops for closed-loop process control, your work will directly shape the accuracy, reliability, and scalability of Tesla’s custom silicon. You’ll pioneer metrology strategies for new materials, architectures, and nodes—turning data into actionable insight, and innovation into reality. This is not just about measuring the world, it’s about building the future, one atom at a time. What You’ll DoOwn the inline metrology strategy across all critical layers: CD, overlay, film thickness, defect density, and electrical continuity Develop, qualify, and optimize metrology processes for critical process steps (e.g., lithography, etch, deposition, CMP)Spearhead the qualification of new metrology tools during fab setup and equipment installationCollaborate with equipment vendors and process engineers to resolve tool performance issues and implement corrective actionsCollect, analyze, and interpret metrology data using statistical tools (e.g., SPC, control charts, multivariate analysis) to detect process drifts, tool wear, or recipe inconsistencies Correlate metrology results with process and test data to identify root causes of non-conformance and yield lossLead physical failure analysis (PFA) including FIB/SEM cross-sections, EBAC, and TEM sample preparation What You’ll BringDegree in Electrical Engineering, Physics, Materials Science, or equivalent experience 5+ years of or metrology engineering experience in a leading-edge semiconductor fab Experience with multiple metrology platforms, ellipsometry, scatterometry, X-ray, and in-line metrology systems Experience driving closed-loop process control via metrology feedback Proficiency in data analysis, automation, and visualizationFamiliarity with machine learning techniques for defect classification, prediction modeling, or metrology data enhancement (e.g., super-resolution, noise reduction)Experience with equipment qualification and statistical process control