The Role
Develop numerical models and experiments to simulate and improve manufacturing processes, support production transitions for new blade programs, implement AI/ML solutions, expand IP, and mentor site engineers while providing production design and troubleshooting support.
Summary Generated by Built In
Specific Responsibilities:
- Actively supports implementation of AI solutions to enhance manufacturing efforts.
- Develops numerical models to simulate the manufacturing processes and create engineering tools.
- Design experiments to provide highly controlled multi-scale test setups to study manufacturing processes.
- Conduct the manufacturing design and production support in each transition of a new blade program.
- Participates in expansion of TPI’s intellectual property portfolio.
- Contributes to development and implementation of engineering solutions that improve current production challenges.
- Ability to identify and evaluate new and developing technologies and identify potential development projects
- Trains and mentors TPI’s local and global site engineers.
Required Skills and Education:
- MS in Mechanical Engineering, computer science, or other related majors.
- Minimum 3 years research and development experience required.
- Experienced with CAE tools and Finite Element Analysis.
- Proficient in using CAD/CAM tools.
- Excellent interpersonal and communication skills.
- Hands on approach to problem solving
- Highly self-driven and detail oriented.
- Ability and willingness to travel overseas.
Preferred Skills and Education:
- PhD. in Mechanical Engineering, Aerospace Engineering, Structural Engineering, Materials Engineering, computer science, or other related majors.
- Experience with developing machine learning and artificial intelligence techniques is highly preferred.
- Working experience with ABAQUS.
- Familiarity with CATIA V5.
- Knowledge of Polymers and Composites is a plus.
- Spanish Language Skill is a plus
- Experience working in a manufacturing environment is a plus
Skills Required
- MS in Mechanical Engineering, computer science, or related majors.
- Minimum 3 years research and development experience.
- Experience with CAE tools and Finite Element Analysis.
- Proficient in using CAD/CAM tools.
- Excellent interpersonal and communication skills.
- Hands-on approach to problem solving.
- Highly self-driven and detail oriented.
- Ability and willingness to travel overseas.
- PhD in Mechanical, Aerospace, Structural, Materials Engineering, computer science, or related majors.
- Experience developing machine learning and artificial intelligence techniques.
- Working experience with ABAQUS.
- Familiarity with CATIA V5.
- Knowledge of Polymers and Composites.
- Spanish language skill.
- Experience working in a manufacturing environment.
TPI Composites Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about TPI Composites and has not been reviewed or approved by TPI Composites.
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Fair & Transparent Compensation — Pay is considered benchmarked to market medians with routine pay‑equity checks across groups. This signals structured, transparent practices for setting base pay and monitoring fairness.
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Leave & Time Off Breadth — Time off is described as including PTO that starts quickly, paid holidays, and parental leave where applicable. Such breadth points to a comprehensive core leave offering.
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Retirement Support — Retirement offerings include a 401(k) with an employer match referenced in company and employee materials. This indicates meaningful support for long‑term savings, with availability depending on location.
TPI Composites Insights
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The Company
What We Do
TPI is the largest U.S.-based independent manufacturer of composite wind blades for the high-growth wind energy market supporting global wind turbine manufacturers.
