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Saronic

Robot type
Marine and Space · Defense
Location
New OrleansLouisianaUSA
Job type
Artificial Intelligence
Posted
Jul 28, 2026
Full-time

Industrial Engineer

Job description

As an Industrial Engineer, you will be responsible for optimizing our manufacturing and operational processes related to the development of autonomous surface vessels. Your role will involve applying principles of material flow, lean manufacturing, Six Sigma, and data analytics to improve the efficiency of our production systems, reduce waste, and ensure that all systems are cost-effective, safe, and sustainable. You will work closely with our engineering, operations, and production teams to enhance our ability to deliver high-quality products in a fast-paced, mission-critical environment.

Saronic Technologies is a leader in revolutionizing autonomy at sea, dedicated to developing…

Job 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.

Job 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.
  • Lean Six Sigma certification (Green Belt, Black Belt) is a plus.
  • 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.

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