Senior Engineer - EDA ML Tools - Customer Engineering(Physical Design) Bangalore, India Softwar[...]

Qualcomm; Bengaluru; On-site; INR 1,400,000 - 2,100,000; Full time

Job summary

Qualcomm India Private Limited in Bengaluru invites a Senior Engineer to lead hands-on work in EDA/ML tooling for physical design. You will debug end-to-end workflows, triage toolchain issues, and collaborate with CAD, software, and systems teams to improve reliability and usability.

The role emphasizes GenAI/Agentic AI workflows, MCP/RAG concepts, and scalable enablement, with strong Python/Linux scripting, and experience in PNR/Floorplanning.

Qualifications

• 2–6 years in Applications/Customer Engineering.
• Strong knowledge of VLSI/Physical Design/EDA workflows.
• Knowledge of Agentic AI / MCP / RAG workflows.
• Strong Python/Linux/scripting experience.
• Ability to debug end-to-end workflows independently.

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.
• Configure and onboard new projects and users; enable scalable adoption.
• Debug AI/GenAI agent workflows, including orchestration failures and non-deterministic behavior.
• Measure tool performance and integrate into automated validation pipelines.

Skills

Python

Linux

Scripting

Physical Design

EDA workflows

Agentic AI

Root-cause analysis

Communication

Education

Bachelor's degree in Engineering/CS

Masters in Engineering/CS

Tools

CI/CD

Automation pipelines

HPC environments

Job description

## Senior Engineer - EDA ML Tools - Customer Engineering(Physical Design)Bangalore, IndiaApply NowFind out how well you match with this jobJob ID3093138## **Company:**Qualcomm India Private Limited## **Job Area:**Engineering Group, Engineering Group > Software Engineering**General Summary:****Role Overview**We are looking for a Senior Engineer withstrong domain expertisein 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 productivityPositioning**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. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. • 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.**Applicants**: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [e-mail] or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. 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