# Senior Manufacturing Systems Engineer

**Company:** [Carbon](https://hotfix.jobs/companies/carbon)
**Location:** Santa Clara, CA
**Role:** Hardware Engineering
**Salary:** $119k – $179k/yr
**Experience:** 5+ years
**Skills:** Python, Mes, Splunk, Quickbase, Root Cause Analysis, 8D, 5-Why, Fishbone, Kpi Dashboards, Statistical Analysis
**Posted:** 2026-06-16

> Lead troubleshooting and root cause analysis for complex electro-mechanical and optical manufacturing systems. Develop test processes, KPI dashboards, and drive process improvements in a fast-paced production environment.

## Job Description

## Responsibilities
- Own root cause analysis and troubleshooting of complex electro-mechanical and optical systems, using data analysis and MES tools to identify, validate, and resolve issues at their source.
- Serve as a key technical resource for the production floor -- rapidly unblocking manufacturing personnel when issues arise, driving corrective actions through to full resolution so the line stays moving and problems don't recur.
- Partner with production and cross-functional teams (Design, Systems, Quality, Supply Chain) to implement corrective actions and drive lasting process improvements.
- Develop and maintain reporting dashboards to track, trend, and communicate manufacturing KPIs -- turning data into actionable insights for the production line.
- Lead Product Validation Testing (PVT) for new products, building bring-up and end-of-line test processes that are robust, repeatable, and scalable.
- Translate technical findings into updated work instructions and process documentation, ensuring fixes are captured and sustained on the production floor.

## Requirements
- B.S./M.S. in Electrical, Mechanical, or Systems Engineering -- a background spanning hardware and software is strongly preferred.
- 5+ years in a manufacturing environment, with the ability to manage shifting priorities in a fast-paced setting.
- Hands-on troubleshooting experience with complex electro-mechanical, optical, or similarly integrated systems.
- Proficiency in Python or similar scripting tools for querying, analyzing, and visualizing manufacturing data; experience with Splunk or Quickbase a plus.
- Proven ability to resolve production line issues using structured root cause analysis (8D, 5-Why, Fishbone, or similar).
- Experience building KPI dashboards and applying statistical tools to identify trends and drive process improvements.
- Able to translate technical findings into clear work instructions, process documentation, and corrective action plans.
- Strong communicator who works effectively across Design, Systems, Quality, and Supply Chain teams.

## Preferred Qualifications
- Experience troubleshooting equipment containing UV lasers, high-end optics, or complex fluid systems.
- Experience in additive manufacturing or 3D printing production environments.

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