Technical Architect
Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Oct 23, 2026.
Job Summary
Responsible for quality assurance of PDKs, ensuring accuracy, consistency, and compliance across design and verification flows
Enables silicon-ready releases through rigorous QA validation, automation, and governance
Key Responsibilities
Execute and drive QA validation across PDK components and flows
Perform verification, regression, and issue analysis across nodes
Ensure compliance with QA standards, documentation, and quality gates
Lead cross-domain issue resolution with design, CAD, and customers
Build and scale automation frameworks for QA, regression, and validation
Drive AI adoption for failure analysis, pattern detection, and regression optimization
Manage end-to-end QA delivery, including planning, tracking, and escalations
Establish governance frameworks: reviews, audits, documentation standards
Mentor teams and improve QA competency and best practices
Drive multi-project QA execution and cross-team alignment
Define organization-wide QA strategy, roadmap, and transformation initiatives
Required Skills
Strong understanding of PDK QA flows, physical verification, and design validation
Expertise in DRC/LVS/verification methodologies
Proficiency in EDA tools (Cadence/Synopsys/Verification tools)
Strong scripting knowledge: Python, SKILL, Shell
Capability to design automation frameworks and scalable QA systems
Strong analytical, debugging, and problem-solving skills
Ability to lead teams, drive delivery, and manage customer interactions
Tools
Cadence / Synopsys Custom Tools
Calibre, ICV, Pegasus, PVS
Python, SKILL, Shell, Tcl, Ruby
Automation & AI-driven QA frameworks
Version control and CI/CD pipelines
Qualifications
B.E./B.Tech/M.E./M.Tech in Electronics / Electrical / VLSI or related field
3 to 10 yrs experience in PDK QA, CAD, physical verification, or design automation
Nice to Have
Experience in multi-node QA environments
Automation framework development
Customer-facing QA delivery experience
AI/ML usage in QA workflows
Key Responsibilities
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Skill Requirements
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Other Requirements
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