Process Engineer, CNC Automation

🌍 Remote, USA 🎯 Full-time 🕐 Posted Recently

Job Description

Own CNC process development for patient-specific dental components — from prototype to scaled production.
Design and validate machining workflows for multi-axis mills (3-, 4-, and 5-axis) that achieve micron-level precision, excellent surface finish, and high throughput.
Integrate automation systems (robotic loading, part handling, in-line probing, vision inspection) into CNC workflows to achieve 24/7 “lights-out” operation.
Optimize toolpaths, feeds, speeds, and cutting strategies for complex geometries and challenging materials (zirconia, titanium, PMMA, and wax).
Develop and document process standards — tool libraries, fixture designs, validation protocols, and SPC control plans — to ensure reproducibility and compliance.
Collaborate with R&D and design teams to improve manufacturability of patient-specific geometries while maintaining clinical fidelity.
Lead root cause analysis and yield improvement across machining cells using structured problem-solving and statistical tools.
Work cross-functionally with software, automation, and quality teams to build reliable, automated manufacturing lines capable of scaling to tens of thousands of custom parts per day.
Scout and qualify new technologies — cutting tools, coolant systems, machine architectures, or in-process metrology systems — to push the limits of digital manufacturing.

8+ years of experience in micron-level precision CNC machining, automation, or process development, ideally within medical devices, dental, or other patient-specific manufacturing domains.
Deep technical fluency in multi-axis milling (3-, 4-, and 5-axis) — milling strategy development, toolpath optimization, cutting dynamics, and precision fixturing.
Experience developing, tuning, or troubleshooting post-processors or control drivers for G- and M-code generation (e.g., Fanuc, Heidenhain, Siemens)
Proven experience integrating automation or robotics into machining workflows (robot arms, part changers, vision systems, or in-line measurement).
Strong understanding of statistical process control (SPC), process validation, and manufacturing scalability.
A systems-thinking approach — understanding how design, manufacturing, and inspection fit together in a digital feedback loop.