Aerospace Engineering Additive Manufacturing Jobs

About the Team: 

The Powder Bed Fusion Additive Manufacturing team is pushing the boundaries of what's possible in rocket propulsion hardware. Responsible for development, process, and production, the team oversees initial concept to final hardware with rigorous quality and precision. From developing print parameters on state-of-the-art 3D printers to enabling fast iteration for partner departments, the team plays a critical role in taking engine designs from concept to hot fire. The team was instrumental in producing Aeon 1 engines for Terran 1 launch and is now pioneering next-generation processes and designs for our Aeon R engines that will power Terran R. With flight hardware production scaling up rapidly, now is the time to join and make a direct impact.

About the Role:

• Own build preparation, print programming strategy, manufacturing planning, and technical execution for assigned PBF hardware or product groups
• Provide feedback to design team on printability, DfAM improvements, part consolidation opportunities, and manufacturability trade-offs
• Develop and maintain controlled PBF process documentation, build standards, work instructions, verification plans, and engineering decision records
• Partner with materials engineering to understand qualification requirements, proposed process changes, and the evidence needed to verify and release those changes
• Lead nonconformance investigations for assigned hardware, including data review, root-cause hypotheses, risk assessment, corrective action recommendations, and clear technical summaries
• Identify recurring NCs and implement preventive actions in collaboration with process engineering, quality, and design
• Coordinate with PBF process engineering, machine owners, inspection, quality, design, post-processing, machining, and program teams to remove blockers and protect hardware delivery
• Evaluate process changes involving parameters, scan strategy, support design, build layout, powder state, machine configuration, heat treatment, depowdering, or inspection criteria
• Use production and quality data to identify trends such as material failures, machine errors, queue bottlenecks, and documentation gaps
• Create dashboards, checklists, templates, or standard work that improve team throughput, quality, and reproducibility
• Mentor interns or newer engineers in PBF fundamentals, documentation quality, problem solving, and cross-functional communication
• Represent PBF Development Engineering in technical reviews, risk discussions, readiness reviews, and partner-team meetings

About You:

• Bachelor's degree in Mechanical Engineering, Materials Science, Manufacturing Engineering, Aerospace Engineering, or related field
• 2+ years in metal additive manufacturing, manufacturing engineering, aerospace hardware, materials/process engineering, or related fields (full time industry experience)
• Working knowledge of LPBF process variables, build preparation, support strategy, inspection, heat treatment, nonconformance processes, and configuration control
• Proficiency with LPBF additive manufacturing of metallic materials and understanding of DfAM fundamentals
• Hands-on experience with work orders, work instruction creation, and non-conformance resolution
• Experience with AM tools such as EOSprint, Magics, 3dxpert, Flow, and CAD tools such as Siemens NX (preferred) or Solidworks
• Comfort working with production data, quality records, engineering drawings, specifications, and ambiguous technical constraints

Nice to haves but not required:  

• Experience owning additive manufacturing products through the AM lifecycle (work orders, non conformances, etc.); through machining and further post processing
• Experience with metal powder handling, tensile testing, metallography, CT/inspection data analysis, or aerospace qualification programs
• Experience writing or revising process specifications, qualification plans, acceptance criteria, change-control packages, or AS9100-aligned documentation
• Experience using Jira, MES/ERP systems, Power BI, Tableau, Python, Minitab, or other tools for workflow management and technical data analysis