×
Register Here to Apply for Jobs or Post Jobs. X

Product Engineer

Job in Rocky Mount, Nash County, North Carolina, 27815, USA
Listing for: PowerToFly
Full Time position
Listed on 2026-08-30
Job specializations:
  • Quality Assurance - QA/QC
    Quality Engineering, Production QC/QA
Salary/Wage Range or Industry Benchmark: 67200 - 100800 USD Yearly USD 67200.00 100800.00 YEAR
Job Description & How to Apply Below

Job Summary:

We are looking for a talented Product Engineer to join our team in Rocky Mount, NC. In this role, you will serve as the central connection point between Product Engineering and the cross‑functional teams that keep daily production running—Operations, Quality, Manufacturing, Materials, and Product Support. Your work will focus on rapidly addressing the issues that directly impact engine production, ensuring the build schedule stays intact while protecting product quality.

You will lead short‑term, immediate solutions to design‑related concerns on the production floor, while also initiating and supporting longer‑term, permanent design improvements. A key aspect of this position involves representing Product Engineering during machining non‑conformance reviews, supplier quality investigations, customer quality escalations, and internal crisis management, ensuring that every decision is grounded in sound technical assessment. You will also play a critical role in navigating supplier continuity challenges, helping implement short‑term recovery actions that prevent disruptions to engine builds.

Success in this position requires strong CAD/3D modeling capability, formal problem‑solving discipline, the ability to thrive in a highly collaborative environment, and comfort working with data from multiple software systems. This role is ideal for someone who enjoys dynamic, hands‑on engineering work and is motivated by directly influencing production flow, product reliability, and customer satisfaction.

In this role, you will make an impact in the following ways:
  • Lead Structured Problem Resolution: Investigate product and system issues by understanding causal mechanisms, recommending appropriate corrective actions, owning problem resolution, and clearly documenting results with guidance from more experienced team members.
  • Execute Core Product Support Processes: Support Product Preceding Technology (PPT), Value Package Introduction (VPI), and Current Product Support (CPS) activities by executing established technical and business processes to ensure product quality and readiness.
  • Apply Robust Engineering Methodologies: Utilize Engineering Standard Work (ESW), iDFMEA, Failure Incident Review Group (FIRG), 7‑step problem solving, design review checklists, and other specialized tools to enable fact‑based, high‑quality technical decisions.
  • Collaborate Across Stakeholders: Obtain and integrate input from technical managers, project leaders, product and manufacturing engineers, and supplier partners to deliver sound technical recommendations and drive quality‑focused outcomes.
  • Make Informed, Quality‑Driven Decisions: Apply academic knowledge and practical experience to make day‑to‑day project decisions, including analysis approaches, test work instructions, and cross‑functional coordination, without compromising quality expectations.
  • Own Moderately Complex Technical Scope: Take accountability for resolving issues related to moderately complex components, subsystems, systems, or services, managing increasing technical ambiguity and complexity as experience grows.
  • Independently Execute and Improve Processes: Perform established work processes with minimal supervision while continuing to develop product and technology knowledge, and actively contribute to the improvement of systems and processes.
  • Support Team Effectiveness and Influence: Contribute positively to team goals, coordinate work with technicians or student employees as needed, and build influence within the work group while strengthening proficiency in critical role competencies.
To be successful in this role you will need the following:
  • Data‑Driven Engineering Judgment: Apply principles of statistical methods to analyze technical data using descriptive statistics, probability distributions, graphical analysis, and statistical inference. Leverage regression, analysis of variance, and design of experiments to model relationships, assess risk, and make rigorous, evidence‑based engineering decisions.
  • Cross‑Functional Design Integration and Systems Thinking: Translate value package and stakeholder requirements into robust virtual designs, clearly…
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary