Senior Staff Engineer

Qualcomm; Bengaluru; On-site; INR 3,500,000 - 6,500,000; Full time

Job summary

Qualcomm India Private Limited in Bengaluru is seeking a Senior Staff Engineer with deep VLSI/EDA and GenAI/Agentic AI tool knowledge. You will drive adoption, usability, and reliability of internal AI tools, bridging Physical Design, CAD, and software teams.

The role requires hands-on usage, triage, and customer engineering experience, enabling scalable project onboarding and robust validation across toolchains and workflows.

Qualifications

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field (6+ years) or higher degrees with relevant software test experience.
• Experience with software test engineering, automation, and test plans.
• Strong understanding of EDA workflows and toolchains.

Responsibilities

• Own end-to-end user support and triage workflows; debug complex EDA environment issues.
• Diagnose workflow failures across toolchains, configurations, and infrastructure.
• Drive deep product understanding through hands-on tool usage across real workflows.
• Translate user requirements into 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 and stability.
• Debug AI/GenAI agent workflows and orchestration failures.

Skills

VLSI/Physical Design

Python

Linux

Scripting

End-to-end debugging

Strong communication

Problem solving

Collaboration

Education

Bachelor's degree in Engineering/CS/IS

Master's degree in Engineering/CS/IS

PhD in Engineering/CS/IS

Tools

Source code control

CI/CD pipelines

Bug tracking tools

Job description

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.
• 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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