We are looking for a Senior Engineer with strong domain expertise in VLSI/EDA tools and workflows to drive adoption, usability, and reliability of internal GenAI/Agentic AI tools and platform.
This role requires deep hands-on usage, triaging expertise, and customer engineering experience, acting as the bridge between Physical Design Engineers/CAD teams, Software and Systems engineering team.
The ideal candidate has exposure to AI/GenAI systems and can understand and debug workflows involving EDA tools, AI agents, orchestration pipelines, and non-deterministic system behaviors.
- Own end-to-end user support and triage workflows; debug complex EDA environment, configuration and software integration issues
- Diagnose workflow failures across toolchains, configurations, and infrastructure
- Drive deep product understanding through hands-on tool usage across real workflows
- Translate user requirements and issues into clear, actionable engineering inputs
- Configure and onboard new projects and users; enable scalable adoption
- Define and maintain real-world test cases and reproducible debugging scenarios
- Collaborate with dev/QA teams to improve observability, debuggability, and stability
- Debug AI/GenAI agent workflows, including orchestration failures, tool invocation issues, and non-deterministic behavior
- Ensure tools operate in an agentic model with autonomous execution (MCP-based access) and minimal manual intervention
- Define and validate clear functional specifications covering capabilities, inputs, outputs, and expected behavior
- Drive structured enablement plans with phased onboarding, deliverables, acceptance criteria, and timelines
- Develop comprehensive test strategies including shared and hidden testcases for robust validation
- Measure tool performance using objective QoR metrics (TNS, WNS, congestion, runtime, memory)
- Integrate tools into automated validation/regression pipelines for continuous testing and reporting
- Enable usage telemetry collection (feature usage, runtime distribution, error trends) to support data-driven improvements
Required Skills & Experience
- 2 to 6 years in Applications Engineering / Customer Engineering preferably in Physical Design (PNR/Floor planning)
- Strong domain knowledge in VLSI / Physical Design / EDA workflows
- Knowledge of Agentic AI /MCP/RAG workflows
- Proven expertise in triaging and debugging complex software/tool issues
- Strong Python/Linux/scripting experience
- Ability to independently run and debug end-to-end workflows
- Strong problem decomposition and root-cause analysis skills
- Excellent communication and cross-functional collaboration
- Experience with AI/GenAI tools, agent frameworks, or orchestration systems
- Familiarity with evaluation, benchmarking, or validation pipelines
- Exposure to CI/CD, large-scale systems and HPC environments
- Experience improving workflows, UX, or developer productivity
This is a hands-on Applications / Customer Engineering role with strong domain expertise, triage ownership, and AI/GenAI workflow understanding — not a Product Manager role.
