Software QA Automation Lead, AI Systems (SuperAgent Team)

What You'll Do

• Lead QA Strategy: Design and execute a comprehensive automation roadmap for agentic AI systems, focusing on reliability, safety, and performance across the semiconductor design lifecycle.
• Architect Evaluation Frameworks: Build "LLM-native" automated testing suites to benchmark agent reasoning, planning, and self-correction loops.
• Full-Stack Automation: Develop robust test infrastructure using Python (for core logic/agent interaction) and TypeScript (for UI/UX and integration layers).
• Hybrid Environment Validation: Ensure seamless performance and security across modern Cloud (AWS/Azure) and air-gapped On-Premise deployments.
• Observability & Monitoring: Implement advanced logging and tracing to detect agent "drift" and hallucinations in production-grade EDA workflows.
• Collaborative Leadership: Work closely with ML scientists and software engineers to integrate continuous evaluation into the CI/CD pipeline.
• Job Qualifications: Experience: 8+ years in Software QA/Automation, with at least 2+ years in a lead or architect capacity.
• Technical Proficiency: Expert-level Python and TypeScript .
• You should be comfortable building complex automation frameworks from the ground up.
• Infrastructure Knowledge: Deep experience with Cloud-native architectures (Kubernetes, Docker) and a solid understanding of the constraints of on-premise enterprise environments.
• QA Fundamentals: Mastery of system-level testing, regression testing for distributed systems, and performance/load testing.
• Education: BS/MS/PhD in Computer Science, Computer Engineering, or a related technical field.
• Skills of Interest Agentic AI Testing: Experience testing frameworks like LangGraph, CrewAI, or LangChain .
• Familiarity with evaluating ReAct patterns and tool-calling reliability.
• RAG & Data Evaluation: Understanding of how to validate RAG pipelines, including retrieval accuracy, grounding techniques, and context-engineering effectiveness.
• AI-Assisted QA: Interest in using AI tools to generate test cases, analyze failure logs, and predict potential regressions in silicon design artifacts.
• EDA Awareness: A passion for semiconductor verification and an interest in how AI can solve the "verification bottleneck" in chip design.
• Our Culture Challenge the Status Quo: We don't just follow industry standards; we set them for the next era of AI-driven silicon.
• Strong Opinions, Loosely Held: We value technical rigor and data-driven debate.
• We pivot quickly when the data proves us wrong.
• Ship Fast, Ship Quality: In EDA, "shipping quality" is the only option.
• We build at lightning speed without ever compromising the high standards of the semiconductor industry.
• Proud of Our Craft: We take pride in the reliability of our systems, knowing they power the world's most advanced chips.
• Check what we can offer you: Competitive salary 25 days holiday per year Private Medical and Dental plans, Income Protection and Life Insurance Group Personal Pension Plan Cycle to work scheme and gym subsidy 5 days paid time to volunteer to give back to our communities Employee Stock Purchase Plan The opportunity to work for a Great Place to Work© & Fortune 100 organization Cadence is committed to equal employment opportunity and employment equity throughout all levels of the organization.
• We strive to attract a qualified and diverse candidate pool and encourage diversity and inclusion in the workplace.
• We’re doing work that matters.
• Help us solve what others can’t.