Additive Manufacturing Engineer Intern

Position Overview:
We are looking for an additive manufacturing engineer intern to support engineering design, manufacturing, and data analysis.
Program Highlights:
Resolve manufacturing challenges and issues by implementing root cause corrective actions related to additive products and assets.
Author and maintain standard operating procedures and work instructions for PBF production operations.
Clear barriers to production operations with live issue resolution on the shop floor.
Essential Duties & Responsibilities:
Support the design, development, and readiness reviews of mechanical and manufacturing systems for additive hardware, robots, and sensors.
Build lightweight software tools and run data analyses to drive informed engineering and manufacturing decisions.
Contribute to manufacturing and infrastructure planning, identifying improvements for process readiness.
Collaborate across mechanical, manufacturing, process, and robotics engineering teams to deliver innovative solutions.
Assist in compiling and presenting technical findings, ensuring clarity and traceability in communication.
Coordinate and track project tasks, timelines, and deliverables, contributing to cross-functional program management.
Develop, improve, and validate in-house additive manufacturing processes towards scaling future Terran R launch vehicle demand.
Evaluate and integrate new equipment or technologies to support cold spray production repeatability and quality.
Support process characterization efforts to improve fundamental understanding of cold spray deposition mechanisms.
Support experimental design, execution, and evaluation of cold spray trials for new materials and components.
Collaborate with engineers to troubleshoot process variability and identify improvement opportunities.
Preferred Qualifications:
Familiarity with metal additive manufacturing technologies and alloy systems (aluminum, nickel, copper, steel, titanium, etc.).
Basic knowledge of metallurgy, heat treatments, and post-processing techniques.
Understanding of motor control, robotics, and mechanical design fundamentals.
Experience in data science, informatics, or project planning involving multiple stakeholders.
Knowledge of design for additive manufacturing (DFAM) of metal components
Familiarity with additive manufacturing technologies, specifically metal AM technologies like Laser-Powder Bed Fusion, WAAM, DED, etc
Familiarity with rocket propulsion system concepts
Strong understanding of cold spray process. Hands-on cold spray experience is preferred, not required.
Knowledge of surface and materials characterization techniques (SEM, EDS, XRD, hardness testing).
Experience with CAD/CAE tools (SolidWorks, ANSYS, or similar) for component design and simulation.
Experience with toolpath generation for cold spray additive manufacturing.
Required Qualifications:
Pursuing a BS or MS in Engineering (Mechanical, Manufacturing, Materials, or related field).
Proficient in CAD software (Siemens NX preferred) with ability to generate engineering drawings.
Comfortable working with Python or similar coding environments to analyze data and communicate results.
Strong communicator who thrives in collaborative, interdisciplinary environments and takes initiative with minimal supervision.
Obtaining BS or MS in aerospace, mechanical, manufacturing, or industrial engineering.
Demonstrated ability to define and implement a process from scratch and effectively communicate to a diverse team
To be successful in this role, you need to be able to thrive in ambiguity, identify problems and quickly resolve them, and provide definition to the previously undefined
You will need to balance a scrappy, get-it-done attitude with a vision for the long-term processes required for scaling and efficiency!
Curious, detail-oriented, and eager to learn about advanced manufacturing and rocket manufacturing.
Strong understanding of engineering fundamentals such as thermodynamics, materials behavior, and mechanics of materials.
A collaborative problem-solver with the ability to adapt to technical challenges in a production environment.
Compensation:
The compensation for this role is $34–42 per hour.
Procedure:
We are an HR consultancy firm, and we help candidates match with the potential roles by using an Artificial Intelligence System which is free of cost. If you meet the eligibility criteria, please apply and our recruitment team will help you understand your strengths and strategize your career ahead. We can let you know better once you submit your resume.

Work arrangement
Yes