16 days ago
Bengaluru, IndiaSenior
Responsibilities
- Own user support and triage workflows for EDA environments, configurations, and software integrations.
- Diagnose workflow failures across toolchains, configurations, infrastructure, and AI/GenAI agent workflows.
- Configure and onboard projects and users while driving scalable adoption and enablement plans.
- Define functional specifications, real-world test cases, reproducible debugging scenarios, and comprehensive validation strategies.
- Collaborate with development and QA teams to improve observability, debuggability, stability, and regression testing.
- Validate MCP-based autonomous execution, tool invocation, orchestration, and non-deterministic behavior.
- Measure performance using QoR metrics including TNS, WNS, congestion, runtime, and memory.
- Integrate tools into automated validation and regression pipelines and enable usage telemetry collection.
Requirements
- 2–6 years of Applications Engineering or Customer Engineering experience, preferably in Physical Design, PNR, or floor planning.
- Strong knowledge of VLSI, Physical Design, and EDA workflows.
- Knowledge of Agentic AI, MCP, and RAG workflows, with the ability to debug complex software and tool issues.
- Strong Python, Linux, and scripting experience, plus the ability to run and debug end-to-end workflows independently.
- Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field with 2+ years of related experience; alternatively, a master's degree with 1+ year or a PhD in a related field.
- 2+ years of academic or work experience with a programming language such as C, C++, Java, or Python.
- Preferred experience with AI/GenAI tools, agent frameworks, orchestration systems, evaluation or benchmarking pipelines, CI/CD, large-scale systems, HPC environments, workflow improvement, UX, or developer productivity.
About Qualcomm
Qualcomm is a public semiconductor company headquartered in San Diego, founded in 1985, that designs and sells wireless chipsets and platforms for mobile devices, automotive, IoT, and networking, notably the Snapdragon application processors and 5G modems. It also licenses a large portfolio of cellular patents to device makers, generating revenue alongside chip sales; its technology underpins many Android smartphones and emerging automotive and edge-compute systems, and it trades on NASDAQ as QCOM.