> Markdown version of [/jobs/ext/3793225-industrial-software-engineer-cell-quality](https://www.wearedevelopers.com/jobs/ext/3793225-industrial-software-engineer-cell-quality). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Industrial Software Engineer, Cell Quality

- **Company:** Tesla Motors
- **Location:** Austin, TX, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Data Integration, Data Visualization, Supervisory Control and Data Acquisition (SCADA), Python (Programming Language), Machine Learning, Power BI, Software Tools, SQL Databases, Tableau (Software), Visual Systems, Microsoft Power Automate, Large Language Models, Grafana, Agentic-AI, Information Technology, Industrial Software
- **Published:** October 17, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/88634228/1

## About the Role

* Degree in Industrial Engineering, Mechanical Engineering, Computer Science, or equivalent experience
 * 2+ years of industrial, manufacturing, or automation engineering experience
 * Proven track record of leading cost-saving or continuous improvement projects with measurable results
 * Hands-on experience building automations, scripts, or software tools (e.g., Python, SQL, Power Automate, or similar)
 * Experience creating AI agents or using AI tools (LLMs, AI assistants, machine learning) to automate workflows and improve efficiency
 * Experience building dashboards and working with data visualization tools (e.g., Power BI, Tableau, Grafana)
 * Knowledge of OEE, cycle time analysis, capacity planning, and line balancing
 * Knowledge of Lean manufacturing, 5S, and Six Sigma principles; Lean/Six Sigma Green Belt preferred
 * Experience leading cross-functional teams and training engineers, technicians, and production staff on new tools and processes
 * Familiarity with factory systems (MES, SCADA, ERP, PLCs) and integrating data between them is a plus

## Description

Tesla is looking for a highly motivated engineer to drive continuous improvement initiatives within the Cell Manufacturing team at Gigafactory Texas. As an Industrial Software Engineer, you will support a world-class manufacturing program from the ground up. You will initiate and energize the corrective action and continuous improvement culture at Gigafactory Texas to the highest levels of performance in safety, quality, cost, and growth.

The ideal candidate will excel in a demanding and fast-paced environment where they will work as part of a strong, agile, and highly motivated team to accomplish some of the most ambitious projects being attempted in any industry today. The candidate will be able to think at a systems level about ambiguous problems and use strong logic and computation to develop improvement and operational strategies. A successful applicant will have the ability to quantify ambiguous problems to drive data-based decisions.

Working from within the Quality Operations team, this role demands excellent communication and interpersonal skills to support Manufacturing, Engineering, and Quality Systems teams.
What You'll Do

 * Lead cost-saving and productivity projects that use automation, AI, and software to reduce labor hours, scrap, downtime, and operating costs
 * Identify improvement opportunities using takt time analysis, value-stream mapping, and root cause analysis, then build business cases with ROI and payback calculations
 * Design and implement automation solutions end to end, from software and data automation to integration with equipment, PLCs, and vision systems
 * Create and deploy AI agents that automate repetitive engineering, quality, and production tasks, such as report generation, data analysis, issue triage, and document creation, to increase team efficiency
 * Develop real-time dashboards that track KPIs like OEE, yield, downtime, and cost per unit, so teams can make data-driven decisions
 * Work with process, equipment, quality, and maintenance teams to deploy solutions, and track the savings they deliver
 * Combine Lean, Six Sigma, and Kaizen methods with AI tools to remove waste, speed up root cause analysis, and shorten problem-solving cycles, and train teams to use AI in their daily work