Manufacturing System Integration Engineer
Samsung Electronics is hiring a Manufacturing System Integration Engineer. It pays $76k-$120k a year and Level rates it ; you can apply on Level.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include LLM Apis, RAG and prompt engineering.
- Level files it as a senior role.
- Level lists 651 other open roles at Samsung Electronics.
- The role was posted in the last few days.
AI in this role
Design and deploy production-grade AI agents, copilots, and automation workflows to optimize manufacturing systems and operations.
About Samsung Austin Semiconductor
Samsung is a world leader in advanced semiconductor technology, founded on the belief that the pursuit of excellence creates a better world. At Samsung Austin Semiconductor, we are Innovating Today to Power the Devices of Tomorrow.
Come innovate with us!
Position Summary
We are seeking a highly skilled Manufacturing Systems Integration Engineers to support our semiconductor facilities in Taylor and Austin, Texas. You will serve as a critical link between proprietary production systems and physical manufacturing execution. The ideal candidate will be an expert in manufacturing systems with a strong interest in AI transformation. Your primary focus will be to troubleshoot factory bottlenecks and optimize throughput, while utilizing modern software tools and AI capabilities to augment employee productivity and operational efficiency. You will work closely with cross-functional teams—including Manufacturing, Systems, Equipment, and Process Engineering—to implement data-driven enhancements in a high-volume production environment.Work Location and Schedule
• Primary Base: Taylor, TX
• Support Model: Dual-site support (Austin & Taylor)
• Shift: Day shift; Compressed Work Week (12-hour shifts, 3 or 4 days per week)
Role and Responsibilities
Here's What You'll Be Responsible For:
- Systems Troubleshooting & Optimization: Provide technical expertise to resolve system-related issues and eliminate factory bottlenecks. Analyze production workflows to improve tool throughput and overall system performance.
- Data Analysis & Insight: Collect and interpret data from sensors and automated systems to identify trends and provide actionable insights for informed decision-making.
- Process Mapping & Workflow Analysis: Lead the effort to audit and map existing operational workflows. Create detailed process maps to identify redundancies and high-value opportunities for AI and automation integration.
- Operational Automation: Analyze daily internal workflows to identify candidates for automation. Design and deploy tools that reduce manual data entry and streamline document routing to increase overall productivity.
- Collaborative AI Development: Design and deploy production-grade AI agents and "copilots" that work alongside engineers and technicians to streamline multi-step operational tasks. This includes leveraging LLM APIs and proprietary data (RAG) to augment human expertise with high-speed data processing and task orchestration.
- System Integration & Orchestration: Connect AI agents seamlessly into the existing software stack. Utilize API integrations and function calling to allow AI tools to trigger actions directly within manufacturing systems.
- Documentation & Reporting: Create and maintain automation reports, Standard Operating Procedures (SOPs), and detailed documentation for all system enhancement requests.
Skills and Qualifications
Here's What You'll Need:
- Education: Bachelor's degree in Industrial Engineering, Electrical Engineering, Mechanical Engineering, Data Science, or a related field.
- Experience: Minimum 2 to 5 years of experience in semiconductor manufacturing, or a related field.
- Technical Skills:
- Manufacturing & Systems Skills
- Manufacturing Metrics: Deep understanding of OEE, Utilization, Cycle Time, Throughput, Yield, DPML, SPC, and APC.
- Industrial Engineering: Practical application of Lean Manufacturing, Six Sigma, Root Cause Analysis (RCA), and FMEA.
- Software Tools: Proficiency in IDEs such as VS Code and Jupyter Lab.
- Data Analysis & Visualization
- Visualization Tools: Proficient in data visualization tools such as Spotfire, Tableau, and/or Power BI to create operational dashboards and executive reports.
- Analytical Techniques: Strong experience in data mining, statistical analysis, and the ability to translate raw system logs into actionable manufacturing insights.
- Data Handling: Ability to manipulate large datasets to identify trends, patterns, and anomalies within the production line.
- Software & Automation Skills
- Core Programming: Proficient in Python with strong fundamentals in Git and structured code.
- Advanced Automation: Experience with API integration, prompt engineering, and building agents capable of parsing structured JSON outputs to facilitate complex functions.
The current base salary range for this role is between $76,000 - $120,000. Individual base pay rates will depend on factors including duties, work location, education, skills, qualifications and experience. Total compensation for this position will include a competitive benefits package and may include participation in company incentive compensation programs, which are based on factors to include organizational and individual performance.
This position may include access to controlled information or technology under U.S. export control laws. Employment may be contingent on either the applicant verifying that the applicant falls under the “U.S. Person” definition (including U.S. citizens, U.S. lawful permanent residents, and those granted U.S. asylum or refugee status) or the employer timely obtaining any necessary export license under federal law. The employer evaluates export licensing on a case-by-case basis and may decline to proceed with a job applicant in its sole discretion, as export license applications can take many weeks to process.
Total Rewards
At Samsung Austin Semiconductor, base pay is just one part of our total compensation package. The base compensation for this role will depend on education, experience, skills, and location.
We offer a comprehensive benefits package, including:
- Medical, dental, and vision insurance
- Life insurance and 401(k) matching with immediate vesting
- Onsite café(s) and workout facilities
- Paid maternity and paternity leave
- Paid time off (PTO) + 2 personal holidays and 10 regular holidays
- Wellness incentives and MORE
Eligible full-time employees (salaried or hourly) may also receive MBO bonuses based on company, division, and individual performance.
All positions at Samsung Austin Semiconductor are full-time on-site.
Trade Secrets
By submitting an application, you agree not to disclose to Samsung or induce or encourage Samsung to use any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity.
* Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here.
* Samsung Electronics America, Inc. and its subsidiaries are committed to Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.
How we rate this
Manufacturing System Integration Engineer at Samsung Electronics rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where systems integration was part of your work. What did you do?
- Tell me about a project where automation was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Prompt engineering, RAG, AI agents, Systems Integration, and Automation. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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