Aerospace Mechanical Design Engineer - Tooling & NPI

Jobot; Santa Ana (CA); On-site; USD 125,000 - 165,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) match

PTO & holidays

Job summary

Jobot is seeking a Mechanical Design Engineer in Santa Ana, CA to design production tooling, fixtures, and processing aids for aerospace manufacturing across multiple product families. The role involves translating concepts into detailed CAD models, GD&T, and tolerances, and collaborating with engineering, manufacturing, and quality teams.

You will lead tooling validation, support NC programming and test equipment, and drive continuous improvement through structured root-cause analysis and

Qualifications

• Strong 3D CAD skills with experience in aerospace tooling.
• Knowledge of GD&T per ASME Y14.5 and MBD workflows.
• Ability to collaborate cross-functionally with manufacturing, quality, and production.

Responsibilities

• Design production tooling, fixtures, and processing aids for aerospace manufacturing.
• Create detailed tooling designs using 3D CAD, GD&T, and tolerance analysis.
• Generate derivative models and tooling datasets for NC programming and inspection.
• Validate tooling and design intent through engineering analysis and producibility reviews.
• Support design and modification of test equipment including hydraulic and pneumatic systems.
• Lead root-cause investigations and manage revisions with structured methods.

Skills

3D CAD

SolidWorks

CATIA

NX

GD&T

Cross-functional teamwork

Tools

SolidWorks

CATIA

NX

Job description

Jobot is seeking a Mechanical Design Engineer in Santa Ana, CA to design production tooling, fixtures, and processing aids for aerospace manufacturing across multiple product families. The role involves translating concepts into detailed CAD models, GD&T, and tolerances, and collaborating with engineering, manufacturing, and quality teams.

You will lead tooling validation, support NC programming and test equipment, and drive continuous improvement through structured root-cause analysis and