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Dassault Systèmes

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AI QA CAD Engineer

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Description

AI QA CAD Engineer
Unlock your potential with Dassault Systèmes, a global leader in Scientific Software Engineering, as a AI QA CAD Engineer in Pune, Maharashtra!

We are seeking a skilled and proactive Software AI QA Engineer to join the SOLIDWORKS Gen7 and Virtual Companion initiative. The candidate will be responsible for ensuring end-to-end quality validation of AI-driven and cloud-based features, including functional, performance, reliability testing. This role plays a critical part in certifying high-impact deliverables and safeguarding exceptional product quality before customer release.

Role Description & Responsibilities:

  • Plan, design, and execute comprehensive test strategies and test plans for Gen7 and Virtual Companion projects in SOLIDWORKS.
  • Perform functional, regression, and performance testing across AI and Cloud-based solutions.
  • Validate AI/ML model behavior, accuracy, edge cases, and real-world workflows.
  • Identify, document, and track defects; collaborate closely with development and product teams to drive resolution.
  • Participate in requirement reviews, design discussions, and FD planning to ensure quality is built from the start.
  • Analyze test results, generate detailed test reports, and support release readiness decisions.
  • Ensure product Quality, performance and reliability through specialized validation techniques.
  • Contribute to continuous improvement of QA processes, tools, and best practices.
  • Support early beta releases, customer feedback analysis, and production issue validation.

Qualifications:

  • Bachelor’s degree in Mechanical, Production Engineering, or related field.
  • 1–3 years of experience in software QA or automation testing (preferably in CAD, AI, or Cloud domain).
  • Strong Experience in CAD/PLM, or graphics-intensive application testing.
  • Strong knowledge of QA methodologies, testing frameworks, and defect tracking tools.
  • Familiarity with Continuous Integration pipelines and modern DevOps tools.
  • Excellent analytical, problem-solving, and communication skills.

Preferred / Nice-to-Have Skills

  • Hands-on experience with automation scripting (Python, JavaScript, or equivalent).
  • Experience in testing AI/ML features, cloud services.
  • Working knowledge of generative AI, LLM frameworks, machine learning data validation.
  • Performance, reliability, and scalability testing exposure.

Role Impact & Expectations

This role will be fully dedicated to Gen7 and Virtual Companion projects to:

  • Strengthen release quality and customer experience.
  • Reduce risk of defect leakage in strategic AI capabilities.
  • Accelerate feature validation cycles and support timely delivery.

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