Applications Engineer - LPBF

Phillips Corporation•Danville, VA
•$110,000 - $120,000

About The Position

The Applications Engineer will provide technical leadership within Phillips Corporation to operationalize and scale Laser Powder Bed Fusion (LPBF) technology at the Navy's Additive Manufacturing Center of Excellence (AMCOE). The role bridges engineering requirements and production by translating qualification requirements and engineering intent into robust build strategies and repeatable production workflows, with a focus on mission-critical hardware. The engineer will address complex additive manufacturing challenges through data-driven root-cause analysis, process optimization, and collaboration across design, manufacturing, machining, inspection, and customer teams. The role also supports scaling LPBF capabilities through standardized processes, build-file optimization, and repeatability best practices. It includes capturing and analyzing process knowledge, machine telemetry, inspection data, and lessons learned to improve part quality, machine uptime, and production readiness, as well as mentoring colleagues and sharing technical expertise across the AMCOE.

Requirements

  • Deep, hands-on engineering expertise in Laser Powder Bed Fusion (LPBF) technology and metal additive manufacturing.
  • Proven ability to solve metallurgical and process-related challenges using data, rigorous root-cause analysis, and cross-functional leadership.
  • Strong focus on process control, repeatability, and scaling manufacturing workflows from prototype to production.
  • United States citizenship.

Nice To Haves

  • Passion for mentorship, technical storytelling, and driving cultural adoption of advanced manufacturing technologies.

Responsibilities

  • Deliver repeatable, mission-ready LPBF production with high standards for quality, schedule, performance, and cost.
  • Translate qualification requirements and engineering intent into robust build strategies and production workflows.
  • Solve complex additive manufacturing challenges using data-driven root-cause analysis and process optimization.
  • Collaborate across design, manufacturing, machining, inspection, and customer teams.
  • Standardize processes, optimize build files, and develop best practices to improve repeatability and scalability.
  • Capture and analyze process knowledge, machine telemetry, inspection data, and lessons learned to improve part quality, machine uptime, and production readiness.
  • Mentor teammates, share technical breakthroughs, and help build additive manufacturing expertise across the AMCOE.
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