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Lead Engineer- Metrology

Job in Fort Collins, Larimer County, Colorado, 80523, USA
Listing for: Advanced Energy Management Limited
Full Time position
Listed on 2026-06-04
Job specializations:
  • Engineering
    Quality Engineering, Electronics Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below

Position Summary

Advanced Energy, RF Delivery Systems (RFDS) is looking for an experienced and proven Lead Engineer – Metrology for its New Product Development (NPD) team to lead the Metrology Systems used in Plasma Power applications.

The Lead Engineer – Metrology will have responsibility of architecting, validating, and scaling high‑fidelity RF and pulsed DC metrology for factory deployment. You will drive the end‑to‑end lifecycle of metrology solutions: sensor design & selection, calibration strategies, uncertainty modeling, procedures, MSA, SPC integration, and factory‑scale rollout. This role is technical and hands‑on, with significant cross‑functional influence (R&D, RF design, process engineering, manufacturing, and factory automation).

The successful candidate will have technical skills to understand the product and customer requirements, as well as detailed knowledge of the appropriate metrology standards and methods of traceability to apply in each situation. Ability to communicate uncertainty calculations and traceability methods to internal and external stakeholders, including accrediting bodies, is expected. The Lead Engineer – Metrology will be responsible for ensuring test methods and procedures support high levels of integrity while maintaining product manufacturability.

Prior experience in industrial RF power and/or high‑power power supply design is preferred.

Responsibilities
  • Build rigorous uncertainty budgets (per GUM/JCGM 100) for parameters relevant to complex, high power industrial electronics.
  • Lead sensor/systems metrology with a cross‑functional team: specify, develop, or qualify sensors (e.g., directional couplers, VI probes, calorimetric power); define de‑embedding and S‑parameter workflows.
  • Establish traceability to national standards (e.g., NIST) and design decision rules/guard banding for production dispositions (e.g., ILAC/ISO/IEC 17025 aligned).
  • Operationalize metrology for HVM: author SOPs/MOPs, MSA/GR&R plans, SPC hooks, calibration intervals, and lifecycle management for sensors and fixtures.
  • Validate robustness under real tool conditions: thermal drift, nonlinearity, electromagnetic coupling, noisy loads, parasitics, and match network dynamics; define tool matching and metrology equivalence criteria.
  • Conduct design reviews, coach on uncertainty/statistics, and set technical standards.
  • Partner with RF design, applications/process engineering, reliability, and quality to ensure metrology integrity from R&D through HVM.
  • Communicate clearly to all stakeholders: quantify metrology risk/impact with KPIs (e.g., GR&R, Cg/Cgk, Cpk, escape rate, uptime/yield/cost impacts).
  • Enhance and align metrology programs at relevant business sites. Prepare metrology plans for both initial accreditation and ongoing re‑accreditation by third‑party organizations like A2LA.
  • Understand how industry trends and technical requirements can be integrated into AE's metrology strategy.
  • Create visibility and credibility for AE in metrology forums and with key customers.
  • Serve as a consultant to peer groups within AE in support of new product development. Work with our Advanced Development team to review technology readiness to launch into new products.
Work Environment
  • On‑site work in a standard office environment.
  • Occasional domestic and international, approximately 5%.
Qualifications
  • At least 8 years’ experience in related industries, preferably working with industrial RF and/or power electronics; other relevant industry experience will be considered. (6 years’ experience with master’s degree).
  • Deep expertise in measurement uncertainty (Type A/B, sensitivity coefficients, correlation effects, Monte Carlo methods); proven track record building uncertainty budgets and decision rules for production.
  • Strong data/statistics skills: MSA/GR&R, SPC (control charts, capability analysis), outlier rules/robust stats, and root‑cause methods (FMEA, Ishikawa, hypothesis testing).
  • Proficiency in Python (or MATLAB/R/JMP) for analysis, automation, and report generation.
  • Experience deploying metrology into HVM with demonstrable improvements in uptime, yield, or process capability.
  • Excellent written/verbal communication; able to…
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