Senior Staff Engineer

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Software Test Engineering General Summary:

Senior Staff  Engineer   Role Overview   We are looking for a Staff 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   - 14+ 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 6+ years of Software Test Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Software Test Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Test Engineering or related work experience. • 2+ year of work experience with Software Test or System Test,