Senior Process Control Engineer

New Today

At Relativity Space, we're building rockets to serve today's needs and tomorrow's breakthroughs. Our Terran R vehicle will deliver customer payloads to orbit, meeting the growing demand for launch capacity. But that's just the start. Achieving commercial success with Terran R will unlock new opportunities to advance science, exploration, and innovation, pioneering progress that reaches beyond the known.
Joining Relativity means becoming part of something where autonomy, ownership, and impact exist at every level. Here, you're not just executing tasks; you're solving problems that haven't been solved before, helping develop a rocket, a factory, and a business from the ground up. Whether you're in propulsion, manufacturing, software, avionics, or a corporate function, you'll collaborate across teams, shape decisions, and see your work come to life in record time. Relativity is a place where creativity and technical rigor go hand in hand, and your voice will help define the stories we're writing together. Now is a unique moment in time where it's early enough to leave your mark on the product, the process, and the culture, but far enough along that Terran R is tangible and picking up momentum. The most meaningful work of your career is waiting. Join us.
About the Team:
The Additive Technology team operates at the frontier of research and development, where creativity meets capability. This is an R&D-driven environment where problems are open-ended and solutions are yours to define. You'll work alongside welders, robotics engineers, data scientists, and systems engineers at the intersection of hardware and software, creating an end-to-end additive manufacturing platform that serves a wide variety of applications. From exploring new materials to unlocking faster print speeds, to designing complex, organic geometries that can't be built any other way, it's high-impact work that sets the foundation for the future of additive manufacturing.
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)
At Relativity Space, we are committed to transparency and fairness in our compensation practices. Actual compensation will be determined based on experience, qualifications, and other job-related factors.
Compensation is only one part of our total rewards package. Relativity Space offers competitive salary and equity, a generous PTO and sick leave policy, parental leave, an annual learning and development stipend, and more! To see some of the benefits & perks we offer, please visit here.
Hiring Range:$130,000—$166,000 USD
We are an equal opportunity employer and value at our company. We do not discriminate on the basis of , , , , , , , marital status, veteran status, or status.
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Location:
Long Beach, CA, United States
Category:
Architecture And Engineering Occupations

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