Lead Product Validation Engineer: Quality Assurance (QA) ChipStack AI 

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

Cadence Design Systems Inc. is looking for a motivated Lead Product Validation Engineer: Quality Assurance (QA) ChipStack AIto be part of the ChipStack AI Super Agent team in Belo Horizonte - working on the world's first agentic AI platform that autonomously designs and verifies chips with up to 10× productivity gains. Cadence has been nominated as a Great Place to Work globally and in Brazil, and is also a Fortune 100 Best Companies to Work For.

Job Description:

• Developing and executing test plans for the exploration of a variety of features, implementing automated tests for the various agentic AI flows.
• Build automated regression frameworks that guarantee product reliability as AI models and platforms evolve.
• Develop scalable validation frameworks to stress-test agentic AI flows.
• Analysis of functional and non-functional requirements. Validate end-to-end AI-driven design and verification workflows across RTL generation, testbench creation, regression, debugging, and auto-fix loops.
• Collaborate with R&D to define validation strategies and quality metrics.
• Reproduce, isolate, and root-cause complex cross-domain bugs.
• Provide actionable feedback to product and R&D teams to improve agent intelligence, robustness, and user experience.
• Validate cloud and on-prem deployments, ensuring scalability, security, and reproducibility of AI workflows.
• Participate in early customer evaluations by validating real customer deployments
• Define acceptance criteria and release readiness metrics.

• Complete Bachelor's degree in Computer Science, Electrical/Electronic Engineering, etc.
• 4+ years of experience in Software Development or Quality Assurance/Product Validation.
• Knowledge of Unix/Linux environment with good Version Control knowledge (Git)
• Strong Proficiency in Python for test development, automation, and data analysis.
• Technical leadership, good leadership skills on software quality best practices.
• Strong interest in AI-driven systems and enthusiasm for working in a fast-evolving technology landscape.
• Deep commitment to software quality, robustness, and reliability.
• Strong verbal and written communication skills in English and Portuguese.

• Knowledge of CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI, etc.)
• Exposure to cloud platforms (AWS, GCP, Azure) and distributed systems
• Familiarity with containerization (Docker, Kubernetes)
• Knowledge of performance and API tests.
• Knowledge of hardware description languages such as SystemVerilog, Verilog.
• Understanding of verification methodologies (UVM, formal verification)
• Experience in EDA industry/tools.

• Employment category: CLT.
• Employment term: 40 hours/week.
• Competitive benefits.
• Location: Av. do Contorno 5800, Savassi, Belo Horizonte, Minas Gerais