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Process Engineer – Johnson

Job in Danville, Virginia, 24540, USA
Listing for: In Demand Recruitment and Consulting Inc.
Full Time position
Listed on 2026-09-05
Job specializations:
  • Manufacturing / Production
    Lean Manufacturing / Six Sigma, Quality Engineering, Manufacturing Engineer
  • Engineering
    Lean Manufacturing / Six Sigma, Process Engineer, Quality Engineering, Manufacturing Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 110000 USD Yearly USD 80000.00 110000.00 YEAR
Job Description & How to Apply Below
Position: PROCESS ENGINEER – JOHNSON CITY

Advanced Manufacturing | Lithium Battery Materials
Johnson City, Tennessee and/or Danville, Virginia |

Full-Time | Permanent

THE OPPORTUNITY

IN DEMAND Recruitment & Consulting Inc. is currently assisting our client in their search for an experienced Process Engineer to support advanced manufacturing operations. This is an excellent opportunity for a hands‑on engineer who enjoys being close to manufacturing operations, solving complex production challenges, analyzing process performance, and implementing improvements that have a measurable impact on safety, quality, yield, throughput, reliability and cost
.

Operating within a lithium battery separator manufacturing environment
, the Process Engineer will take technical ownership of assigned manufacturing processes and work closely with Operations, Quality, Maintenance, R&D, EHS and Supply Chain to improve day‑to‑day manufacturing performance.

The successful candidate will bring strong manufacturing fundamentals, data‑driven problem‑solving capabilities, and the ability to translate engineering analysis into sustainable improvements on the plant floor.

WHAT YOU’LL DO

As the Process Engineer, you will take ownership of assigned manufacturing processes while supporting continuous improvement, troubleshooting, new product introduction and manufacturing scale‑up.

You will:

  • Own and support manufacturing processes involving mixing, coating, slitting, material handling and related separator production operations
    .
  • Monitor and analyze process performance to improve safety, product quality, yield, throughput, reliability, cost and overall process stability
    .
  • Troubleshoot production and process issues, lead structured root‑cause investigations, and implement sustainable corrective actions.
  • Establish and maintain process windows, operating parameters, setup standards and engineering procedures
    .
  • Support production startups, process validation and equipment qualification readiness.
  • Lead continuous improvement initiatives focused on scrap reduction, yield improvement, cycle‑time reduction, process capability and equipment reliability
    .
  • Apply engineering and statistical methodologies including Root Cause Analysis, SPC, PFMEA, DOE and Six Sigma
    .
  • Identify opportunities to improve manufacturing performance through modifications to processes, equipment, controls and material‑handling systems.
  • Analyze process capability, manufacturing trends, defects and equipment data to identify recurring losses and prioritize improvement opportunities.
  • Partner with R&D, Quality and Operations on new product introductions, process development and manufacturing scale‑up.
  • Plan and execute pilot and production trials, including trial objectives, data requirements, acceptance criteria and technical conclusions.
  • Evaluate new materials, technologies, equipment and manufacturing methods.
  • Translate development and trial results into repeatable, documented production processes and standards
    .
  • Use manufacturing data and process trends to support sound technical and operational decision‑making.
Disclosure of Artificial Intelligence (AI) Use

IN DEMAND Recruitment & Consulting Inc. may use artificial intelligence (AI)-enabled tools to support certain aspects of our recruitment process, including the screening and assessment of applications. These tools are used to assist with organizing, reviewing, and evaluating candidate information and do not replace human judgment or decision‑making.

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