Senior Process Control Engineer
Relativity Space
At Relativity Space, we have two audacious goals: to build the next great commercial launch company with Terran R and to become America's leading force in additive manufacturing innovation. Both contribute to our long-term vision of creating humanity’s industrial base on Mars, paving the way for interplanetary life to expand the possibilities of the human experience. This journey begins right here on Earth – where we design, build, and fly rockets to deliver customer payloads to orbit. Terran R, our medium-to-heavy lift reusable rocket, fulfills the growing demand for launch capacity, thanks to our iterative approach that accelerates design, testing, and development while minimizing costs. While our groundbreaking research and development in 3D printing pushes the boundaries of large-scale additive manufacturing.
Your journey with us is more than just a job – it’s an opportunity to shape the future of aerospace technology, additive manufacturing, and the human experience alongside a community of passionate, creative individuals. Join us on this extraordinary journey, as we work together to transform our vision into reality.
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)
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.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
