Cutting Tools R&D Design Engineer — Global Travel

GWS Tool Group; Vista (CA); On-site; USD 90,000 - 130,000; Full time

Job summary

GWS Tool Group in California seeks a Product Design and R&D Engineer to drive research, design, testing, and commercialization of cutting tool solutions across production, with a focus on advanced materials and digital tooling.

You will collaborate with Engineering, Manufacturing, Quality, and external partners to bring innovative products to market, manage development from concept to production, and apply data-driven analysis to improve performance, cost, and manufacturability.

Qualifications

• Bachelor's degree in mechanical or manufacturing engineering.
• 5+ years in product development or R&D in cutting tools.
• Advanced knowledge of metal cutting processes.
• CAD/CAM proficiency with listed tools.

Responsibilities

• Lead development of cutting tool products from concept through commercialization.
• Research emerging technologies, materials, coatings, and manufacturing methods.
• Design and optimize various cutting tools (solid carbide, carbide-tipped, ceramic, PCD, CBN).
• Develop and validate product performance via lab and production testing.
• Create test plans, analyze results, and provide data-driven recommendations.
• Develop digital engineering tools, databases, software apps, and AI-driven solutions.
• Collaborate with manufacturing to transition new products to production.

Skills

Analytical skills

Problem-solving

Project management

Cross-functional collaboration

Education

Bachelors in Mechanical

Tools

AutoCAD

SolidWorks

Siemens NX

Mastercam

Job description

GWS Tool Group in California seeks a Product Design and R&D Engineer to drive research, design, testing, and commercialization of cutting tool solutions across production, with a focus on advanced materials and digital tooling.

You will collaborate with Engineering, Manufacturing, Quality, and external partners to bring innovative products to market, manage development from concept to production, and apply data-driven analysis to improve performance, cost, and manufacturability.