Industrial Engineer; Bottleneck/Constraints-(USC/GC
Job in
Orlando, Orange County, Florida, 32885, USA
Listed on 2026-05-19
Listing for:
Infosoft, Inc.
Full Time
position Listed on 2026-05-19
Job specializations:
-
Engineering
Manufacturing Engineer, Quality Engineering, Process Engineer, Operations Engineer
Job Description & How to Apply Below
Job Title:
Industrial Engineer (Bottleneck/Constraints) - (USC/GC Only)
Pay Rate: $75 to $84.02/HR
Duration:
12 months
Location:
Charlotte, NC/Houston, TX/ Orlando, FL (Hybrid - 3 days onsite & 2 days remote)
We are looking for an Industrial Engineer (Bottleneck/Constraints). This role focuses on supplier production systems and capability building rather than site-based Industrial Engineering support or day-to-day quality escalation. You will operate across regions and cultures as part of day-to-day work, engaging effectively with suppliers and internal stakeholders across different organizational contexts. Your work directly impacts supplier capability, execution predictability, and the long‑term resilience of the supply chain.
- Improve supplier production systems by diagnosing constraints
, stability issues
, and capability gaps, and driving targeted improvement actions, covering topics such as capacity modeling
, bottleneck/constraint analysis
, flow and lead‑time improvement, and KPI definition/operating routines - Proactively evolve supplier capabilities, including production technologies and manufacturing methods
, alongside capacity and system robustness - Translate energy enterprise priorities into sequenced supplier development initiatives
- Convert hands‑on improvement experience into standard work, playbooks, and training that scale across the organization
- Operate effectively in matrix organizations through sustained influence and technical credibility
- Balance selective hands‑on execution with broader enablement through structured methods and guidance
- Degree in Industrial Engineering, Manufacturing Engineering, Production Engineering, or Mechanical Engineering
- Significant professional experience delivering measurable improvements in production systems
, operations, or supplier capability in high‑complexity industrial environments - Strong analytical skills and comfort using data
, analytics, and emerging digital/AI‑based tools to support decisions and performance discussions - Ability to document methods clearly and enable others through coaching and training
- Ability to operate effectively in matrix organizations through collaboration and influence
- Willingness to travel internationally up to 40% (travel varies by supplier priorities and project phase)
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