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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