Senior Site Quality Engineer – Automotive Quality & Dimensional Engineering 3673444

Axiom Path, Inc.; North Carolina; On-site; USD 70,000 - 100,000; Full time

Job summary

Axiom Path, Inc. in Columbus, IN, seeks a manufacturing quality engineer to join a high-performing quality organization focused on emissions and manufacturing technologies. You will collaborate across quality, manufacturing, tooling, and engineering to ensure dependable, high-quality products and strong production outcomes.

Lead quality initiatives, apply GD&T, and support APQP/PPAP with metrology and 3D measurement. Weekend overtime may be required to meet deadlines.

Qualifications

• Bachelor’s degree in Mechanical, Industrial, or Manufacturing Engineering.
• 2–5+ years of manufacturing quality engineering experience in automotive or similar high-volume manufacturing.
• Strong hands-on knowledge of GD&T.
• Practical experience with APQP and PPAP.
• Working knowledge of VDA FMEA/FMEA methodology.
• Strong understanding of MSA, Gage R&R, SPC, and control plans.
• Familiarity with automotive quality systems such as IATF 16949.
• Experience interpreting dimensional data and working with metrology or measurement systems.
• Ability to perform structured root-cause analysis and drive corrective actions through closure.
• Strong communication skills with the ability to explain technical quality findings to engineering, manufacturing, leadership, and customers.
• Ability and willingness to work onsite and support weekend overtime when needed.

Responsibilities

• Lead quality and continuous-improvement initiatives designed to reduce defects, scrap, rework, and manufacturing variation.
• Support compliance with automotive quality requirements, including IATF 16949, APQP, and PPAP.
• Apply GD&T principles to dimensional analysis, part validation, and manufacturing-quality investigations.
• Use metrology and 3D measurement technologies to evaluate product conformance and support root-cause investigations.
• Lead structured problem-solving efforts using tools such as 8D, 5-Why, and Ishikawa analysis.
• Provide technical support for SPC, MSA, Gage R&R, control plans, and process capability activities.
• Partner with manufacturing, tooling, engineering, suppliers, and customers to resolve nonconformities and manage product or process changes.
• Coach less-experienced team members on automotive quality methods, core tools, and disciplined problem-solving practices.

Skills

Quality engineering

GD&T

Root cause analysis

Communication skills

Problem solving

Team collaboration

Education

Bachelor’s degree in Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, or related technical discipline

Tools

PolyWorks

CMM programming

Minitab

3D metrology software

Gage R&R

Job description

Be Part Of A High-Performing Team

Join an established engineering organization supporting advanced emissions and manufacturing technologies for a global power solutions leader. The organization is focused on delivering dependable, high-quality products while advancing cleaner and more efficient technologies. This site-based quality team operates in a technical manufacturing environment where collaboration across quality, manufacturing, tooling, and engineering is critical to maintaining strong customer and production outcomes.

What’s In Store For You

• Engagement: W2 only (no C2C/1099)
• Work model: 100% onsite in Columbus, Indiana
• Standard schedule is Monday through Friday, approximately 8:00 AM–4:00 PM
• Some weekend overtime will be required, so weekend availability is essential
• Opportunity to take ownership of site-level quality improvement initiatives and provide technical guidance across manufacturing operations
• Exposure to dimensional engineering, automotive quality systems, metrology, process improvement, and customer-facing quality activities

How You Will Make An Impact

• Lead quality and continuous-improvement initiatives designed to reduce defects, scrap, rework, and manufacturing variation.
• Support compliance with automotive quality requirements, including IATF 16949, APQP, and PPAP.
• Apply GD&T principles to dimensional analysis, part validation, and manufacturing-quality investigations.
• Use metrology and 3D measurement technologies to evaluate product conformance and support root-cause investigations.
• Lead structured problem-solving efforts using tools such as 8D, 5-Why, and Ishikawa analysis.
• Provide technical support for SPC, MSA, Gage R&R, control plans, and process capability activities.
• Partner with manufacturing, tooling, engineering, suppliers, and customers to resolve nonconformities and manage product or process changes.
• Coach less-experienced team members on automotive quality methods, core tools, and disciplined problem-solving practices.

Do You Bring Proven Success in Automotive Quality Engineering and Core Tools?

• Bachelor’s degree in Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, or a related technical discipline.
• Approximately 2–5+ years of manufacturing quality engineering experience, preferably within automotive or similarly regulated high-volume manufacturing.
• Strong hands-on knowledge of GD&T.
• Practical experience with APQP and PPAP.
• Working knowledge of VDA FMEA/FMEA methodology.
• Strong understanding of MSA, Gage R&R, SPC, and control plans.
• Familiarity with automotive quality systems such as IATF 16949.
• Experience interpreting dimensional data and working with metrology or measurement systems.
• Ability to perform structured root-cause analysis and drive corrective actions through closure.
• Strong communication skills with the ability to explain technical quality findings to engineering, manufacturing, leadership, and customers.
• Ability and willingness to work onsite and support weekend overtime when needed.

Preferred experience includes:

• PolyWorks or comparable 3D metrology software.
• CMM programming or 3D scanning.
• Lean/Six Sigma methodologies.
• Welding processes or manufacturing-process quality.
• Design of Experiments.
• Minitab or advanced Excel statistical analysis.