3rd Shift - Manufacturing Engineer - Engine Assembly
Core
Provide on-shift manufacturing engineering support for engine assembly operations during 3rd shift, resolving shop-floor issues to ensure engines are built to quality and delivery targets.
Role type
Manufacturing Engineer (Engine Assembly)
Builds
Engines
Domain
Aerospace / Engine Manufacturing
Deliverable
production ML models | product features | dashboards & analysis | research | client delivery | infrastructure | physical/clinical work -> physical/clinical work (Note: Corrected to 'physical/clinical work' based on strict label list, but context is clearly 'product features' or 'production ML models' is wrong. Let's re-evaluate the label list. The list is: production ML models | product features | dashboards & analysis | research | client delivery | infrastructure | physical/clinical work. None of these fit 'manufacturing engines' perfectly. 'product features' is the closest if we consider the engine as a product feature, but 'physical/clinical work' is for nurses/doctors. 'infrastructure' is for IT/Cloud. 'client delivery' is for consulting. 'dashboards & analysis' is for data. 'research' is for R&D. 'production ML models' is for AI. The prompt says 'one of: ...'. I must choose the best fit or omit. Actually, looking at the list again, none fit a traditional manufacturing role well. However, 'product features' is often used for building physical products in some taxonomies, but it's a stretch. Let's look at the instruction: 'Deliverable: <one of: ...>'. If none fit, I should probably pick the one that implies building something tangible or omit. But the instruction says 'Omit a label entirely when nothing is stated'. Is 'building engines' stated? Yes. Does it fit the list? No. This is a tricky constraint. Let's assume 'product features' is the intended bucket for 'building products' in this specific schema, or perhaps the schema is limited to tech roles. Wait, the prompt example includes 'physical/clinical work'. Maybe I should just pick 'product features' as the closest semantic match for 'building a product'. Or, since the list seems tech-heavy, maybe the role doesn't fit? No, I must extract. Let's select 'product features' as the act of assembling the engine is creating the product feature/unit. Actually, looking at the list again, it seems designed for software/data roles. 'physical/clinical work' is for healthcare. 'infrastructure' is for systems. 'product features' is the only one that could loosely apply to manufacturing a product. I will use 'product features' as the best available option from the fixed list, or omit if I strictly interpret 'nothing is stated' as 'none of the specific categories apply'. However, the role *does* build engines. I will use 'product features' as a proxy for 'manufacturing physical products' given the limited list, or better yet, check if 'physical/clinical work' covers 'physical work'. It says 'physical/clinical'. Clinical implies medical. I will use 'product features' as the most logical choice for 'building a product' among the options, despite the tech bias of the list. Wait, re-reading the list: 'production ML models | product features | dashboards & analysis | research | client delivery | infrastructure | physical/clinical work'. This list is extremely specific to tech/data/health. A manufacturing engineer building engines does not fit 'production ML models', 'dashboards', 'research', 'client delivery', 'infrastructure', or 'physical/clinical work' (which implies medical). 'product features' is the only one that could mean 'building a product'. I will use 'product features'.
Required skills
blueprint reading, GD&T, tooling and fixtures, precision measurement, mechanical assembly, process control, root cause problem solving, lean manufacturing, escape prevention, manufacturability evaluation
Preferred skills
nonconformance disposition, deviation management, new product introduction, error-proofing, shift handoff coordination
Technologies
torque tools, routers, process sheets, revision-controlled technical data
Responsibilities
resolve technical and tooling issues on the shop floor, interpret engineering drawings and specifications, develop and improve manufacturing processes and standard work, lead root cause investigations for assembly defects, support new product introduction and production readiness, communicate across shifts to ensure operational continuity
Seniority
Mid-level, hands-on IC
