Senior Staff Engineer

Company
Qualcomm India Private Limited
Job Area
Engineering Group, Engineering Group > Software Test Engineering
General Summary
Job Description
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, developing and automating test plans, and/or tools (e.g., Source Code Control Systems, Continuous Integration Tools, and Bug Tracking Tools).
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Work arrangement
No