Client is looking for a senior manufacturing Engineer with 7–12+ years of experience. Has led manufacturing engineering across an entire product or program — not just their own workstream. Has set up NPI frameworks, mentored junior engineers, and navigated complex cross-functional environments. Demonstrates depth in continuous improvement (owns CI roadmaps with quantified results) and structured problem solving (coaches others). May over-qualify for a single-contributor contract role unless the scope expands.
Autonomously architects complex, multi-line manufacturing systems without waiting for direction. Defines the automation strategy (manual / semi-auto / fully automated) with full economic justification, drives the decision to approval, and delivers a validated production system on schedule and within budget. Personally accountable for throughput, yield, and cost targets from day one.
Identifies throughput bottlenecks, defines corrective actions, and drives them to completion with measurable results (e.g., cycle time reduced X%, operator utilization improved to Y%). Optimizes across multi-station, multi-product environments without supervision.
Autonomously orchestrates the full prototype-to-series transition end-to-end supplier readiness, operator training, process lock-down, and run-at-rate. Defines the success criteria, identifies every gap, assigns actions, and drives each to closure. Delivers measurable run-at-rate results (units/hour, first-pass yield, scrap rate) against committed targets.
Autonomously leads DfM reviews across the full BOM. Identifies manufacturability risks, defines specific design-change actions with quantified impact (cost, yield, cycle time), and drives them to implementation with design engineering. Personally accountable for closing every DfM action before the design freeze gate. Delivers measurable reductions in assembly complexity and defect risk.
Autonomously defines the tolerance strategy for complex multi-part assemblies. When stack-ups reveal risk, defines the corrective path (tighten tolerance, change datum, add inspection) and drives it to resolution with design and quality. Delivers validated assemblies that meet capability targets (Ppk >= 1.33) without requiring escalation.
Autonomously leads cross-functional P-FMEA across multiple sub-assemblies. For every high-RPN item, defines the specific corrective action, assigns ownership, sets a deadline, and personally drives it to verified resolution. Delivers a measurable reduction in top-10 RPN items each cycle. Connects FMEA actions directly to control plan updates and design-change requests, closing the loop end-to-end.
Autonomously builds risk-identification practices into the program cadence without being asked. Runs risk reviews and what-if workshops, identifies cross-functional and supply-chain risks, defines mitigation plans, and drives them to closure with measurable risk reduction. Resolves everything within their authority independently — escalates only when leadership decision is required.
Autonomously defines the equipment strategy for the line (make vs. buy, standard vs. custom). Manages multiple vendor workstreams in parallel, holds vendors accountable to technical specs and timelines, and drives FAT/SAT punch-lists to 100% closure. Personally accountable for on-time, on-spec equipment delivery. Resolves all technical gaps independently.
Autonomously defines the fixturing philosophy for the line. When validation reveals a gap (GR&R failure, repeatability issue), defines the corrective action and drives it to resolution with the vendor or in-house team. Delivers validated fixtures that meet repeatability targets on schedule. Drives fixture reuse and standardization to reduce cost and lead time.
Autonomously owns the MES strategy for the production line. Selects or evaluates platforms, writes the requirements, drives the deployment from kickoff through go-live, and resolves integration issues with IT and vendors without escalation. Delivers a fully operational MES on schedule with measurable impact on data capture, routing enforcement, and WIP visibility.
Autonomously owns the master industrialization plan across all workstreams. When the plan is at risk, does not wait for escalation — defines recovery actions and drives cross-functional teams to execute. Personally accountable for on-time program milestones. Adjusts plan architecture when scope changes and communicates impact with data-backed alternatives.
Deep experience in Tier 1 automotive or equivalent across multiple product launches. Autonomously brings automotive-grade rigor (APQP, PPAP, layered audits, zero-defect mindset) to every aspect of the program without being told. Applies lessons from past launches to prevent issues proactively, delivering measurably lower defect rates and faster ramp times.
Deep experience across multiple electromechanical or robotic products. Autonomously defines the manufacturing approach for novel robotic sub-assemblies (actuators, end-effectors, sensor arrays),identifies domain-specific risks (ESD, calibration drift, cable-routing failures), and drives preventive actions to closure. Delivers production-ready processes for complex electromechanical assemblies with measurable quality and throughput results.
Education and Qualifications
Bachelor’s degree (minimum) in Mechanical Engineering, Manufacturing Engineering,
Industrial Engineering, or related field.
• 7+ years of experience in manufacturing engineering, with demonstrated experience
designing manufacturing processes from scratch (NPI / New Product Introduction).
• Proven background in high-volume manufacturing within a Tier 1 automotive environment
or equivalent industrial setting (aerospace, medical devices, consumer electronics at
scale).
• Proven track record in bringing a product from prototype to series production.
• Strong command of manufacturing fundamentals: process flow diagrams (PFD), time
studies, line balancing, cycle-time analysis, DfM, P-FMEA, GD&T, and tolerance analysis.
• Experience specifying tooling, fixtures, and equipment for electromechanical or robotic
assemblies, including writing URS documents and managing vendor FAT/SAT.
• Demonstrated proficiency with industrial KPIs: OEE, MTTR, MTBF, throughput, yield, firstpass
yield, and scrap rate.
• Familiarity with MES (Manufacturing Execution Systems) and digital manufacturing
principles.
• Experience with Lean manufacturing tools and continuous improvement methodologies
(Kaizen, value stream mapping, Poka-Yoke, 5S).
• Proficiency in structured problem-solving methods: 8D, A3, 5 Whys, Ishikawa.
• Familiarity with stage-gate industrialization frameworks (EVT/DVT/PVT or equivalent).
• Proficiency in CAD software (SolidWorks, Creo, or equivalent) and process simulation.
We are an Equal Employment Opportunity Employer (EEO)
