
Leading company in the technology industry
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 P roduct Validation Engineer:
Quality Assurance (QA) ChipStack AI to 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 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
- Help junior engineers, conducting technical leadership inside projects.
Requirements:
- Complete Bachelor's degree in Computer Science, Electrical/Electronic Engineering, etc.
- Knowledge of Unix/Linux environment with good Version Control knowledge (Git)
- Familiarity with Python for test development, automation, and data analysis.
- 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.Nice to have:
- Knowledge of CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI, etc.)
- Familiarity with containerization (Docker, Kubernetes)
- Knowledge of performance and API tests.
- Knowledge of hardware description languages such as System Verilog, Verilog.
- Understanding of verification methodologies (UVM, formal verification)
- Experience in EDA industry/tools.
Additional Job Details:
- Employment category: CLT.
- Employment term: 40 hours/week.
- Competitive benefits.
- Location: Av. do Contorno 5800, Savassi, Belo Horizonte, Minas Gerais
About Cadence Design Systems:
Cadence is the only company that provides the expertise and tools, IP, and hardware required for the entire electronics design chain, from chip design to chip packaging to boards and to systems. We enable electronic systems and semiconductor companies to create innovative products that transform the way people live, work, and play. Our products are used in mobile, consumer, cloud datacenter, automotive, aerospace, IoT, industrial and other market segments. For more information, access http://www.cadence.com
Be proud and passionate about the work you do. Together, our One Cadence -- One Team culture drives our success.
We’re doing work that matters. Help us solve what others can’t.
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About Cadence

Cadence
PublicCadence Design Systems, Inc. is an American multinational technology and computational software company headquartered in San Jose, California.
5,001-10,000
Employees
San Jose
Headquarters
$8.5B
Valuation
Reviews
10 reviews
3.9
10 reviews
Work-life balance
3.8
Compensation
2.7
Culture
4.2
Career
3.2
Management
2.8
72%
Recommend to a friend
Pros
Flexible work arrangements and remote options
Great company culture and collaborative team
Good benefits and job security
Cons
Below average compensation and salary
High workload and overwhelming at times
Limited career advancement opportunities
Salary Ranges
75 data points
Junior/L3
Junior/L3 · Data Analyst
1 reports
$91,103
total per year
Base
$85,276
Stock
-
Bonus
$5,827
$59,612
$139,984
Interview experience
1 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Final Decision
Common questions
Technical Knowledge
Behavioral/STAR
Past Experience
Problem Solving
Latest updates
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