Title:  Senior Engineer

Position Overview:

We are seeking a highly motivated and skilled Additive Manufacturing Engineer to join our team, specializing in Wire Arc Additive Manufacturing (WAAM) and Laser Powder Bed Fusion (LPBF). The successful candidate will play a key role in developing, optimizing, and scaling additive manufacturing processes for industrial applications, contributing to innovation and operational excellence.

Key Responsibilities:

• Lead and execute additive manufacturing projects using WAAM and LPBF technologies.
• Develop process parameters and optimize build strategies for various materials.
• Operate and maintain WAAM and LPBF equipment, ensuring high-quality output and machine reliability.
• Perform design for additive manufacturing (DfAM), including part redesign and topology optimization.
• Conduct post-processing activities such as heat treatment, machining, and surface finishing.
• Collaborate with cross-functional teams including design, quality, and production to integrate AM parts into final products.
• Analyze build data and perform root cause analysis for defects and process deviations.
• Ensure compliance with safety standards, quality protocols, and industry regulations.
• Document process workflows, technical reports, and best practices.

Qualifications:

• Bachelor’s degree in Mechanical Engineering, Materials Science, or related field.
• Proven experience in additive manufacturing, specifically WAAM and LPBF.
• Strong understanding of metallurgy, thermal processes, and mechanical properties of AM materials.
• Proficiency in CAD software and simulation tools (e.g., SolidWorks, ANSYS).
• Familiarity with AM standards and certification requirements (e.g., ASTM, ISO).
• Excellent problem-solving skills and attention to detail.
• Strong communication and teamwork abilities.

Preferred Skills:

• Experience with robotic systems and automation in WAAM.
• Knowledge of powder handling and safety protocols.
• Background in aerospace, automotive, or energy sectors.
• Experience with data analytics and machine learning in AM process optimization.