Design Manufacturing; DFM Reviewer - Engineering/Manufacturing - Remote
Remote / Online - Candidates ideally in
Durban, 4056, South Africa
Listing for:
Employ Africa
Full Time, Remote/Work from Home
position
Listed on 2026-06-18
Job specializations:
-
Engineering
Manufacturing Engineer, Quality Engineering
-
Manufacturing / Production
Manufacturing Engineer, Quality Engineering
Job Description & How to Apply Below
Position: Design for Manufacturing (DFM) Reviewer - Engineering/Manufacturing - Remote
Our client is an innovative engineering technology company developing advanced tools that support mechanical design, simulation, and manufacturing workflows. As part of their continued growth, they are seeking a Design for Manufacturing (DFM) Reviewer to join their team and play a key role in ensuring designs meet manufacturability and quality standards.
Job description
Our client is building a labelled dataset of mechanical CAD parts annotated with Design for Manufacturability (DFM) attributes for Computer Numerical Control (CNC) machining and injection moulding.
Your job is to analyze 3D part geometry and apply structured, consistent DFM labels — identifying features that drive cost, complexity, or manufacturability risk. This labelled data trains machine learning models that can automatically evaluate parts for manufacturability. You don't need to be an ML engineer; you need to be an expert manufacturer who can think systematically about what makes a part hard or easy to make.
What you would do
Review 3D CAD geometry (parasolid files) and apply structured DFM labels across a large library of mechanical partsFor CNC machining: identify and label features such as deep pockets, thin walls, undercuts, poor tool access, non-standard radii, tight tolerances implied by geometry, and setup count driversFor injection molding: identify and label draft angle violations, sink risk zones, undercuts requiring side actions or lifters, wall thickness non-uniformity, weld line risk areas, and gate location constraintsApply severity ratings and flags (e.g., "minor rework," "requires special tooling," "mold-breaking feature") consistently across partsWork within a structured labelling taxonomy — providing feedback to refine and expand label categories where the schema falls shortOccasionally annotate at the feature level (specific faces, edges, or regions) rather than just part-level flagsValidate labels for consistency and flag ambiguous cases for reviewRequirements
Hands-on experience in CNC machining, injection molding, or DFM review in a manufacturing or engineering services contextStrong ability to read and interpret 3D CAD geometry — you don't need to model, but you need to look at a geometry file (STEP) and immediately identify manufacturability issuesExperience performing or reviewing DFM analyses in a production context (not just academic)Systematic, detail-oriented approach — labelling work requires consistency above all elseComfortable working with structured schemas and documentation requirementsCNC-Specific Knowledge (Required if labelling CNC parts)Deep familiarity with milling, turning, and multi-axis machining constraintsUnderstanding of tool access, fixturing, setup count, and feature geometry relative to standard toolingAbility to identify features that require 4- or 5-axis capability vs. standard 3-axisKnowledge of standard radii, thread types, and tolerance conventions that affect costInjection Molding-Specific Knowledge (Required if labelling IM parts)Deep familiarity with draft angle requirements, parting line placement, and ejection constraintsUnderstanding of wall thickness guidelines, rib-to-wall ratios, and sink/warp riskAbility to identify undercuts and classify the tooling action required (side action, lifter, collapsible core)Familiarity with gate types, runner systems, and their geometric implications on part designNice to Have
Experience in both CNC and injection molding (generalist labelers are especially valuable)Prior work in a DFM software tool (DFMPro, Moldflow, Fusion Manufacture, etc.)Background in quoting or cost estimation — people who've quoted parts tend to have very sharp DFM instinctsComfort with Python or basic scripting for batch file review workflowsInterest in or exposure to AI/ML applications in manufacturing
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