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Jobot

Process Engineer (Weld & Large Assembly)

Jobot, Beloit, Wisconsin, United States, 53511

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This Jobot Job is hosted by: Amanda Preston Salary: $85,000 – $110,000 per year

A bit about us: We are a growing fabrication and manufacturing organization specializing in large, welded assemblies across multiple industries. We thrive on innovation, continuous improvement, and engineering rigor. We are seeking a proactive Process Engineer to lead and refine our welding and fabrication operations.

Why join us?

Competitive compensation (commensurate with experience)

Comprehensive benefits package

Opportunity to lead advanced welding and fabrication projects

Collaborative, engineering-forward culture

Career growth and professional development

Job Details Role Overview As Process Engineer – Welding & Fabrication, you will design, validate, and optimize production processes for large‑scale welded components and assemblies. You will work cross‑functionally with design, quality, operations, and project teams to ensure manufacturability, quality, and cost performance. You’ll also support robotic welding, laser welding, and continuous improvement efforts.

Key Responsibilities

Develop, document, and maintain welding and fabrication processes (e.g. MIG, TIG, resistance, laser, robotic) for large assemblies

Program, support, and optimize ABB robotic welding systems (or other robotic platforms)

Create and maintain WPS (Welding Procedure Specifications), PQRs, and weld qualifications in line with AWS, ASME, and ISO standards

Design weld sequences, fixture strategies, and tooling to control distortion, residual stress, and dimensional stability

Troubleshoot and resolve weld defects (porosity, cracking, incomplete fusion, distortion) using root‑cause analysis

Collaborate with design engineering to influence geometry, tolerances, and material selection for better weldability and assembly reliability

Provide hands‑on support and training on the shop floor as needed

Partner with quality/inspection groups to utilize NDT feedback (ultrasonic, radiographic, dye penetrant, etc.) to close the loop on issues

Lead or support continuous improvement initiatives (Kaizen, Lean, Six Sigma) aimed at improving throughput, yield, and cost

Track, report, and analyze process metrics (cycle time, scrap rate, rework, capacity) and propose improvements

Support cost estimation and technical proposals (e.g. assessing welding/fixture costs, labor hours, and tooling)

Qualifications & Experience

Bachelor’s degree in Mechanical Engineering, Manufacturing Engineering, Welding Engineering, or equivalent

Minimum 5 years of process engineering in welding manufacturing large assembly environment

Hands‑on expertise in multiple welding methods, including robotic and laser welding

Experience programming and supporting ABB robotic systems (or equivalent)

Solid understanding of metallurgical behavior, material weldability, and heat treatments/coatings

Familiarity with CAD, CAM, weld simulation, or process modeling tools

Strong working knowledge of AWS, ASME, ISO 9001 / ISO 9100, or applicable quality and industry standards

Demonstrated capability to work cross‑functionally with design, operations, and QA teams

Proven track record in leading process improvements, cost reduction, and quality enhancements

Excellent communication, documentation, and problem‑solving skills

Interested in hearing more? Easy Apply now by clicking the “Apply Now” button.

Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.

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