CAD Quality Controller

We're growing fast! Join our expanding team as a CAD Quality Controller. Be part of exciting new projects—

Triz Engineering Solutions is looking for a CAD Quality Controller to form part of our engineering team, with the ability to fit into the DNA of our company culture that is dynamic and embraces change. Apart from a contained and well-rounded person with a high EQ level, he/she will be required to deal with complexity in a fast-paced environment. The person needs to be a self-starter with attention to detail and bring a positive energy to the work environment, with a willingness to excel in their role.

Triz Engineering Solutions () is a product engineering and development company dedicated exclusively to the commercial vehicle industry.

We specialize in end-to-end engineering for medium- and heavy-duty platforms, from concept and feasibility through productionization and compliance. Our expertise spans zero-emission (battery electric, fuel cell), hybrid, and conventional powertrains, as well as advanced vehicle technologies including ADAS, autonomy, and connectivity.

Our work focuses on high-integration, high-value systems for applications such as delivery, bus, motorhome, refuse, off-highway, and other vocational markets. Triz delivers launch-ready, validated solutions that help OEMs move from plan to product with speed, certainty, and zero surprises.

The CAD Quality Controller is responsible for ensuring that engineering CAD models and drawings comply with company and customer standards, processes, and quality requirements. The role involves reviewing and verifying CAD data using Siemens NX and Teamcenter, identifying deviations from established standards, and providing feedback to engineers to ensure accuracy, consistency, and manufacturability. The CAD Quality Controller also contributes to the continuous improvement of CAD processes, supports the documentation of engineering knowledge, and assists in training team members on applicable engineering standards and best practices.

Qualifications and

Experience:

• South African matric (Grade 12/NQF Level
  5)
• Recognized industry technical qualification (2yrs minimum duration)
• Two years full-time 3D and 2D CAD experience, post qualification, in any mid-to-high-end CAD Software (Solid works, Solid Edge, Siemens, Creo, Inventor)
• Previous experience in the design and integration of automotive components and a sound knowledge of Siemens NX will be an advantage.
• Be able to show relevant experience in:
• Manufacturing process exposure (Welding, Sheet metal, Pipe bending, Harness manufacturing)
• Working knowledge of, or demonstrated interest in, the practical application of AI-enabled tools to support CAD quality control activities, including CAD model and drawing compliance checks, engineering standards verification, documentation accuracy, engineering data quality within PDM systems, and the identification of potential deviations or quality risks in an automotive engineering environment.

• Attention to detail
• Excellent in task management
• Ability to work under pressure and handle priority changes
• Passionate about automotive engineering and CAD design
• Excellent written and verbal communication (English)
• Computer literacy (Outlook, Excel, Word, PowerPoint)

CAD Quality Control

• Operate Siemens NX and Team Center
• Learn customer Engineering Standards and Processes
• Review Engineering CAD Models and Drawings for adherence to standards
• Provide feedback to engineers regarding standards
• Develop and execute non-design intent technical verification activities on engineers’ CAD files
• Provide input into the continuous improvement of CAD processes and standards
• Training Engineering standards to new employees
• Recording CAD and customer standard related knowledge and experience in a body of knowledge

We offer highly competitive remuneration package.

Full-time

By submitting your application, you acknowledge and consent that Triz Engineering Solutions may use artificial intelligence tools (“AI Tools”) as part of its recruitment and selection process. These tools are used to support, not replace, human decision-making, and are intended to improve the efficiency and effectiveness of our recruitment process.

We may use AI tools to help screen applications, match candidates to roles, and manage recruitment data. All applications are reviewed by our recruitment team, and your personal information will be handled in accordance with the Protection of Personal Information Act (“POPIA”). You may withdraw your consent at any time by contacting recru