About the Team: The additive technology team leads research and development of Relativity's Stargate 3D-printing platform and factory operating system to produce large-scale metal structures for the industrial base. The team works with robotics engineers, data scientists, systems engineers, and welders to advance Relativity's innovative tech stack, which leverages autonomy, advanced simulation, machine learning, and robotics. Working at the intersection of hardware and software, the team is creating a unified platform that can perform additive manufacturing, in-situ monitoring, NDE, and subtraction capabilities in a single print cell. Progressing in parallel to Terran R development, Relativity's breakthroughs in large-scale additive manufacturing have the potential to revolutionize the defense industrial base. About the Role: As a Process Control Engineer, you'll be at the intersection of advanced manufacturing and data science, developing and refining methods for collecting, analyzing, and interpreting data from additive manufacturing processes printing the Aeon-R main combustion chamber. Your work will directly influence part quality, production efficiency, and operational consistency across our AM platforms. * Establish a production analysis process for capturing machine and process data for Wire Arc Additive Manufacturing (WAAM) operations printing Aeon-R Main Combustion Chambers * Implement statistical process control (SPC) methods to ensure print conformance and stability * Lead root cause investigations using data-driven techniques to address process deviations or Non-Conformances * Utilize data & statistics to drive continuous improvement * Collaborate cross-functionally with manufacturing engineering, weld engineering, operations, and IT to implement robust process control systems * Generate reports, dashboards, and visualizations that make complex data actionable for teams * Ensure compliance with industry standards and internal documentation practices for AM quality and traceability * Become an expert at additive manufacturing process control and drive platform technology to the next level About You: You're analytical, collaborative, and passionate about precision. You enjoy solving complex problems with data, and you're comfortable working with both machines and people. You bring a structured approach to process optimization and have a strong interest in additive manufacturing technologies. * A degree in Engineering (Mechanical, Manufacturing, Industrial, or related field) and a minimum of 5+ years in a manufacturing environment * Experience with data analysis tools such as Python, MATLAB, Minitab, or Power BI * Working knowledge of additive manufacturing processes and data types (e.g., sensor data, build logs, machine parameters) * Experience applying statistical process control (SPC) and Six Sigma methodologies * Strong problem-solving skills and a structured, methodical approach to root cause analysis * Ability to clearly communicate findings to both technical and non-technical audiences Nice to haves but not required: * Experience working with AM process monitoring tools or closed-loop control systems * Familiarity with digital thread/data traceability in a manufacturing environment * Exposure to machine learning models or AI techniques for predictive quality * Experience with MES, ERP, or manufacturing data integration platforms * Certification in Lean Six Sigma (Green Belt or higher)