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Part Time Catia Automation Jobs (NOW HIRING)

Shield AI

Staff Engineer, Tool Design (R4967)

Seattle, WA · On-site

$150K - $230K/yr

CATIA / NX / SolidWorks, 3DEXPERIENCE / Teamcenter, FEA tools, GD&T, metrology fundamentals ... Familiarity with advanced manufacturing technologies, such as additive manufacturing or automation ...

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Part Time Catia Automation information

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$107.1K

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How much do part time catia automation jobs pay per year?

As of Sep 7, 2026, the average yearly pay for part time catia automation in the United States is $107,126.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,500.00 and $123,500.00 per year, depending on experience, location, and employer.

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Part Time Catia Automation jobs near you
Infographic showing various Part Time Catia Automation job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $107,126 per year, or $51.5 per hour.

Staff Engineer, Tool Design (R4967)

Shield AI

Seattle, WA • On-site

$150K - $230K/yr

Full-time, Part-time

Posted 5 days ago

Key responsibilities

  • Design and develop production tooling such as assembly jigs, fixtures, molds, gauges, and handling carts using CAD software.

  • Manage tooling throughout its lifecycle, including design, analysis, fabrication, and prove-out, ensuring safety and quality standards.

  • Collaborate with cross-functional teams to review designs, perform analyses, and support tooling validation and shop-floor activities.

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:
The Senior Tool Design Engineer brings 7+ years of experience developing production tooling for complex aerospace systems. This role owns tooling throughout its lifecycle (concept, design, analysis, release, fabrication, and prove-out) ensuring safe, repeatable, first-time-right assembly. You will work cross-functionally with Manufacturing, Quality, and Safety to deliver robust tooling that supports pilot builds through rate production. 
What you'll do:
  • Translate GD&T, key characteristics, and CTQs into tooling requirements (datums, locators, clamps, tolerances, ergonomics, ESD/FOD controls). 
  • Design assembly jigs, drill/bond fixtures, composites molds & trim fixtures, go/no-go gauges, lifting/handling carts, and protective tooling using CATIA/NX/SolidWorks. 
  • Conduct FEA and hand calculations to confirm stiffness, clamp loads, safety factors, and ergonomics. 
  • Generate complete Tool Design Packages including 3D models, 2D drawings with GD&T, BOM, torque/fastener specs, materials/finishes, lifting points, and safety labeling. 
  • Lead design reviews with ME, Quality, Safety, and Launch teams; perform human-factors evaluations. 
  • Manage tool fabrication , oversee NCR/ECR resolution, and support shop-floor prove-out. 
  • Develop Tool Setup & Care Instructions, PM plans, and inspection checklists. 
  • Support First Article activities including CMM/laser-tracker alignment, gage strategy, and dimensional validation. 
Tools & Skills 
  • CATIA / NX / SolidWorks, 3DEXPERIENCE / Teamcenter, FEA tools, GD&T, metrology fundamentals, supplier manufacturing processes. 
Required qualifications:
  • 7+ years of experience in tooling design, mechanical design, or manufacturing engineering. 
  • Bachelor’s degree in Mechanical, Aerospace, Industrial, Mechatronics, or related engineering field. 
  • Experience in prototype manufacturing in a startup or rapid-growth environment. 
  • Strong understanding of manufacturing processes, including machining, composites, avionics and/or assembly. 
  • Demonstrated ability to work in a fast-paced, high-pressure environment and adapt to changing priorities
Preferred qualifications:
  • Knowledge of quality standards, such as AS9100 or ISO 9001. 
  • Familiarity with advanced manufacturing technologies, such as additive manufacturing or automation systems. 
  • Strong project management skills, including experience managing multiple priorities and deadlines. 
* Compensation for this role is based on the position’s work location. The salary range shown reflects the listed location and may vary if the position is based in a different geographic market. Actual compensation will also consider factors such as experience, skills, qualifications, and internal equity. 
Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.