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Gear Manufacturing Engineer

AMETEK · Whitsett, NC

Apply on AMETEK ↗
Level
Engineer
Team
Manufacturing
Degree
Preferred
Experience asked
15+ years
Industry
Industrial
Posted
11 days ago

The role in 30 seconds

An engineer-level manufacturing role at AMETEK (industrial) in Whitsett, NC.

They ask for
15+ years · degree preferred
Tools it names
Lean, Root cause, GD&T, CNC, Machining

Read from the posting. The full description is below.

It asks for 15+ years. If you're close, apply anyway: requirements are a wish list. Talk to someone on the team first.

At a glance

Pulled from the posting text. If it's not listed here, the posting didn't say.

How to get in at this plant

Five moves over a week or two. The first one takes ten minutes.

  1. 1

    Pick 2–3 people on the Manufacturing team at AMETEK

    Engineers who joined in the last year or two reply the most. Use the team search on this page to find them.

  2. 2

    Send a short, curious note

    One real question about their work. No favors yet. Each person gets a different note, written for this role.

  3. 3

    Turn a reply into a short call

    Questions worth asking about this team:

    • What does a normal week look like on your team?
    • Is the work mostly new product launches or sustaining existing lines?
    • How much time do you spend on the floor versus at a desk?
    • How did you land the job? What stood out in your interviews?
  4. 4

    Apply with someone vouching for you

    If the call went well, ask whether they’d pass your résumé to the hiring manager. Send your résumé link, apply that day, and let them know.

  5. 5

    Bring proof to the interview

    One page of before-and-after numbers from projects you led: scrap, OEE, cycle time, cost. Plant managers hire on results.

About the role

What you will do

  • ◆Lead and optimize manufacturing processes for gear production, including hobbing, turning, grinding, and secondary operations
  • ◆Establish and improve processes for spur, helical, worm, and bevel gears
  • ◆Troubleshoot gear manufacturing issues using root cause analysis
  • ◆Partner with quality to ensure gear inspection methods are robust and repeatable
  • ◆Evaluate and implement gear manufacturing equipment
  • ◆Lead capital justification and support installation/startup of equipment
  • ◆Utilize Lean and continuous improvement tools
  • ◆Provide hands-on technical support to machinists and supervisors
  • ◆Drive preventive maintenance strategies for critical equipment
  • ◆Collaborate cross-functionally to resolve manufacturing issues
  • ◆Develop and maintain process documentation
  • ◆Support training in gear manufacturing best practices
Show full description ↓

As we expand our gear manufacturing capabilities, we are seeking a hands-on Gear Manufacturing Engineer with deep expertise in gear production. This role will lead the day-to-day performance and continuous improvement of a machine shop focused on spur, helical, worm, and bevel gear manufacturing.

This is a highly visible, shop-floor-focused position responsible for process ownership, equipment performance, and technical leadership across gear cutting, turning, grinding, and finishing operations. The right candidate will bring strong gear manufacturing knowledge and the ability to translate that into improved throughput, quality, and cost performance.

What we are looking for

  • •Bachelor’s degree in Mechanical Engineering, Manufacturing Engineering, or related field preferred; or equivalent years of experience
  • •15+ years of experience in gear manufacturing
  • •Expertise with gear hobbing, shaping, and/or grinding
  • •Experience with spur, helical, worm, and bevel gears
  • •Strong knowledge of gear geometry, tolerancing, and inspection
  • •Experience with CNC machining environments
  • •Strong GD&T and metallurgy understanding
  • •Proven problem-solving ability in shop-floor environments
  • •Experience evaluating and implementing equipment
  • •Lean manufacturing knowledge
  • •Demonstrated ability and willingness to use AI tools to improve productivity, decision-making, work quality, and to reduce costs. The successful candidate must be able to identify appropriate AI use cases and critically evaluate AI-generated outputs.
  • •Strong communication and leadership skills

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