Industrial Engineer
Company | Saronic |
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Location | Austin, TX, USA |
Salary | $Not Provided – $Not Provided |
Type | Full-Time |
Degrees | Bachelor’s |
Experience Level | Mid Level |
Requirements
- Bachelor’s degree in Industrial Engineering or a related field.
- At least 3 years of experience in industrial engineering, with a strong background in material flow, lean manufacturing, Six Sigma, and data analytics.
- Proficiency in data analysis tools such as Excel, Minitab, or other statistical software.
- Strong understanding of manufacturing processes, production planning, and workflow optimization.
- Experience with process improvement methodologies (Lean, Six Sigma, Kaizen, etc.) and ability to implement them effectively.
- Excellent problem-solving and analytical skills, with the ability to identify root causes and develop practical solutions.
- Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
- Familiarity with production environments, preferably in high-tech, defense, or maritime industries.
Responsibilities
- Analyze and optimize material flow across manufacturing processes to ensure smooth, efficient production of autonomous surface vessels.
- Implement lean manufacturing principles and Six Sigma methodologies to reduce waste, improve cycle times, and increase throughput.
- Conduct data analysis and generate actionable insights to guide process improvements and decision-making.
- Develop and refine production workflows, ensuring that materials, components, and labor are utilized efficiently and effectively.
- Support the development and implementation of performance metrics, KPIs, and other tools to track and improve production efficiency.
- Collaborate with cross-functional teams (engineering, design, operations) to ensure that new products or changes to existing products are optimized for manufacturability.
- Identify and address bottlenecks, quality issues, and other inefficiencies in the production process.
- Assist in capacity planning and resource allocation to meet production goals.
- Provide guidance and training on lean, Six Sigma, and data analytics techniques to team members.
Preferred Qualifications
- Lean Six Sigma certification (Green Belt, Black Belt) is a plus.