Operations Engineer

Join Terran R's Operations Engineering team, where you'll design, optimize, and scale the systems that power our manufacturing operations. You'll drive improvements in safety, quality, cost, and delivery by integrating data-informed insights, lean methodologies, and innovative solutions into every stage of production. Your work will enable efficient, reliable, and flexible manufacturing processes, empowering our operations to execute at the highest level and support the rapid growth of our production system.

• Identifying, analyzing, and supporting improvements in safety, quality, productivity, logistics, and ergonomics using data analysis and Lean Six Sigma methods.
• Contributing to cross-functional teams to develop and implement operational standards, capacity plans, work center layouts, and material flow strategies.
• Developing and maintaining operational metrics, dashboards, and audit tools to monitor performance across manufacturing and distribution areas.

• Strong communication and collaboration skills with ability to work effectively across technical and operations teams
• 2+ years of industrial engineering experience with developing expertise in capacity planning, work center optimization, and operations management; demonstrated ability to independently own defined projects
• Skilled in data analysis using Excel and SQL; developing proficiency in visualization tools (e.g., PowerBI), 2D/3D design tools, and simulation software like FlexSim
• Proficient in Lean, Six Sigma, and problem-solving methodologies (e.g., A3, 8D, root cause analysis)
• Bachelor's degree in Industrial Engineering, Manufacturing Engineering, Operations Research, Supply Chain, or related field
• Experience with MRP/ERP systems, advanced analytics (e.g., machine learning, predictive modeling), or designing automated systems and data capture processes
• Familiarity with green field site development, requirements gathering, or high-complexity assembly-driven manufacturing environments
• Familiarity with MODAPTS, MOST, or other labor/time study methodologies and proven ability to tackle ill-defined problems with scalable solutions