VT
EDA Software Engineer / Architect (Consultant)
Accepting applicationsVeriFast Technologies · India
Contract Mid_senior AIC++JavaMentorPython
Estimated market salary
₹45-81 LPA
This is a SiliconBoard market estimate, not an employer-posted salary.
Posted
19h ago
Category
Eda
Experience
Mid_senior
Country
India
EDA Senior Software Engineering Engineer / Architect (Consultant)
Agentic AI for Silicon Development
VeriFast is helping lead the transition toward Agentic AI-powered silicon development.
We are seeking an accomplished Senior Software Engineering Lead, Principal Software Architect, or Engineering Manager with 10–15+ years of experience developing complex, production-grade software platforms.
This individual will provide the technical leadership needed to architect and develop VeriFast’s next generation of Agentic EDA AI workflows for semiconductor design, verification, debug, and engineering productivity.
The ideal candidate has worked on large-scale EDA systems and understands how to build software today that can support radically greater demand tomorrow. They must know how to establish scalable infrastructure, modular architecture, strong engineering practices, and appropriate system boundaries from the beginning—without unnecessarily overengineering an early-stage product.
Key Responsibilities
Lead the architecture and development of VeriFast’s EDA Agentic AI software platform.
Design scalable infrastructure capable of supporting significant growth in users, customers, workloads, data, integrations, and product functionality.
Guide the complete software development lifecycle from architecture through production deployment and ongoing evolution.
Build modular and extensible systems that can support additional AI agents and silicon development workflows.
Identify scalability, performance, reliability, security, and maintainability risks before they become critical.
Establish engineering standards for design, coding, testing, documentation, CI/CD, deployment, monitoring, and release management.
Mentor and provide technical leadership to VeriFast’s AI and software engineering teams.
Remain hands-on in architecture, design reviews, coding, troubleshooting, and performance optimization.
Required Qualifications
BS or MS in Computer Science, Software Engineering, Computer Engineering, or a related discipline.
10–15+ years of professional software development experience.
5+ years developing complex semiconductor EDA Software solutions
Extensive experience developing complex software through the complete product lifecycle.
Demonstrated experience architecting platforms that successfully scaled into large production environments.
Strong knowledge of scalable software infrastructure, distributed systems, APIs, databases, system integration, performance, security, and reliability.
Proven ability to make foundational architectural decisions that support long-term commercial growth.
Strong hands-on programming experience in Python, C++, Java, Go, or comparable languages.
Demonstrated experience leading and mentoring highly capable software engineers.
Preferred Qualifications
Experience developing AI applications, autonomous agents, multi-agent systems, or LLM-based platforms.
Experience with agent orchestration, RAG, vector databases, knowledge graphs, AI evaluation, and persistent memory.
Experience developing secure enterprise or on-premises software.
Show more Show less
Agentic AI for Silicon Development
VeriFast is helping lead the transition toward Agentic AI-powered silicon development.
We are seeking an accomplished Senior Software Engineering Lead, Principal Software Architect, or Engineering Manager with 10–15+ years of experience developing complex, production-grade software platforms.
This individual will provide the technical leadership needed to architect and develop VeriFast’s next generation of Agentic EDA AI workflows for semiconductor design, verification, debug, and engineering productivity.
The ideal candidate has worked on large-scale EDA systems and understands how to build software today that can support radically greater demand tomorrow. They must know how to establish scalable infrastructure, modular architecture, strong engineering practices, and appropriate system boundaries from the beginning—without unnecessarily overengineering an early-stage product.
Key Responsibilities
Lead the architecture and development of VeriFast’s EDA Agentic AI software platform.
Design scalable infrastructure capable of supporting significant growth in users, customers, workloads, data, integrations, and product functionality.
Guide the complete software development lifecycle from architecture through production deployment and ongoing evolution.
Build modular and extensible systems that can support additional AI agents and silicon development workflows.
Identify scalability, performance, reliability, security, and maintainability risks before they become critical.
Establish engineering standards for design, coding, testing, documentation, CI/CD, deployment, monitoring, and release management.
Mentor and provide technical leadership to VeriFast’s AI and software engineering teams.
Remain hands-on in architecture, design reviews, coding, troubleshooting, and performance optimization.
Required Qualifications
BS or MS in Computer Science, Software Engineering, Computer Engineering, or a related discipline.
10–15+ years of professional software development experience.
5+ years developing complex semiconductor EDA Software solutions
Extensive experience developing complex software through the complete product lifecycle.
Demonstrated experience architecting platforms that successfully scaled into large production environments.
Strong knowledge of scalable software infrastructure, distributed systems, APIs, databases, system integration, performance, security, and reliability.
Proven ability to make foundational architectural decisions that support long-term commercial growth.
Strong hands-on programming experience in Python, C++, Java, Go, or comparable languages.
Demonstrated experience leading and mentoring highly capable software engineers.
Preferred Qualifications
Experience developing AI applications, autonomous agents, multi-agent systems, or LLM-based platforms.
Experience with agent orchestration, RAG, vector databases, knowledge graphs, AI evaluation, and persistent memory.
Experience developing secure enterprise or on-premises software.
Show more Show less