Eda Ml Tools Engineer

Role Overview

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.

Key Responsibilities

• 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

Preferred Qualifications

• 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

Positioning

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.

Minimum Qualifications

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.