Staff Process Quality Engineer

Hypertherm Associates•Hanover, NH

5d•$93,936 - $156,562

About The Position

Hypertherm Associates is seeking an experienced Staff Process Quality Engineer to join its Heavy Industrial Business (HIB) Quality team in Hanover, New Hampshire. The role leads process quality activities supporting HIB manufacturing operations and business goals, including improving process performance, reducing variation and defects, and ensuring products meet customer and business expectations. It partners with Manufacturing, Manufacturing Process Engineering, Design Engineering, Operations, and other Quality teams. Using data, structured problem solving, and quality engineering methods, the engineer identifies risks, investigates recurring issues, drives corrective action, and strengthens process controls. The role also coaches teams in problem solving, process control, and continuous improvement to build quality capability across the organization. The position includes up to 10% travel. The annual base pay range is $93,936.00–$156,562.00, with pay within the range varying based on relevant experience, skills, education, and other factors. Sponsorship of new employment authorization applicants or other immigration-related support is not available for this position. Hypertherm Associates is an Equal Opportunity Employer and is committed to an inclusive, diverse, flexible, and collaborative environment.

Requirements

Bachelor’s degree in Mechanical, Electrical, Industrial, or Manufacturing Engineering, or an equivalent technical discipline.
At least 7 years of quality or manufacturing engineering experience in a high-technology or complex manufacturing environment.
Strong experience in manufacturing process quality, process capability, and statistical process control.
Experience leading structured problem solving and corrective action using 8D, DMAIC, 5 Why, root cause analysis, or similar methods.
Experience in New Product Introduction and manufacturing process qualification or validation.
Working knowledge of Process Failure Mode and Effects Analysis (PFMEA), Control Plans, Measurement System Analysis (MSA), and statistical methods.
Experience applying Lean and Six Sigma to manufacturing process improvement.
Ability to analyze quality and manufacturing data, identify trends, and turn findings into practical actions.
Strong cross-functional leadership and communication skills, including influencing teams without direct authority.
Ability to balance immediate production quality needs with longer-term systemic improvement.
Demonstrated ability to coach and develop others in quality engineering tools and problem solving.

Nice To Haves

Lean Six Sigma Black Belt certification or equivalent demonstrated experience.
Experience with electromechanical products and complex assembly and test processes.
Experience with GD&T, measurement systems, and process capability analysis.
Experience working within an ISO 9001 quality management system.
Experience developing or improving manufacturing quality metrics and process controls.

Responsibilities

Establish and improve manufacturing process controls, quality plans, inspection strategies, and monitoring methods to prevent defects and meet manufacturing requirements.
Analyze manufacturing and quality data for trends, variation, and emerging risks; lead root cause analysis and corrective action for significant or recurring process and product quality issues.
Assess process capability, reduce variation, improve yield, and sustain improvements using statistical and quality tools.
Lead Kaizen and continuous improvement activities at the Lean Six Sigma Black Belt level.
Partner with Engineering and Manufacturing on new product and process introduction to identify quality risks and establish controls, validation, measurement methods, and acceptance criteria before production release.
Support corrective and preventive action (CAPA), internal and external audits, Quality Steering Team activities, and other quality management processes.
Provide quality leadership across Manufacturing, Manufacturing Process Engineering, Design Engineering, and Operations; facilitate problem solving and data-driven decisions.
Connect manufacturing performance to product quality and customer experience, using internal and field quality information to identify prevention and improvement opportunities.
Serve as a subject matter expert and mentor to engineers, technicians, and manufacturing teams in problem solving, statistical methods, process control, and quality tools.