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    Home/Jobs/Senior AI/ML Engineer

    Senior AI/ML Engineer

    AMD

    Austin / Texas
    5-8 years
    9 days ago
    ₹144–217 LPA
    Full-time
    Hybrid

    Skills Required

    LLM
    RAG
    LangChain
    Python
    C++
    Go
    API development
    Knowledge graphs
    EDA tools
    Linux

    Description

    At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems.

    Company: AMD

    Role: Senior AI/ML Engineer

    Location: Austin, TX (Primary) Additional flexibility across AMD locations or hybrid arrangements as needed.

    Experience:

    • Experience developing production-grade AI/LLM applications and agent-based systems
    • Hands-on experience with orchestration frameworks such as LangChain, AutoGen, CrewAI, or similar graph-based agent architectures
    • Strong understanding of API development and integrating LLMs with external systems and tools
    • Familiarity with Model Context Protocol (MCP) or similar tool-calling frameworks
    • Foundational understanding of silicon IP design and verification workflows, including exposure to Verilog/SystemVerilog or digital design concepts
    • Familiarity with EDA tools (e.g., Synopsys, Cadence, Siemens) and Linux-based development environments

    Qualification:

    • Bachelor’s degree in computer science, Computer Engineering, Electrical Engineering, or a related technical field

    Role Focus: • Design and deploy modular AI agent architectures capable of task decomposition, structured tool usage, and iterative code generation across the spec-to-RTL lifecycle • Develop and optimize multi-step agent workflows, including prompt orchestration, context management, and state handling for complex engineering tasks • Build and scale hybrid retrieval systems, including RAG pipelines and knowledge graphs, to ground AI agents in hardware specifications, protocols, and architectural data • Develop closed-loop automation systems that enable AI agents to interpret and respond to compiler errors and EDA tool outputs (e.g., lint, simulation) for iterative design refinement • Build and maintain secure, low-latency infrastructure to integrate LLMs with external tools using Model Context Protocol (MCP) and custom APIs • Partner with IP and Subsystem teams to integrate AI-driven workflows into existing silicon development processes • Establish evaluation frameworks and automated pipelines to validate AI-generated outputs for correctness, synthesis readiness, and power, performance, and area (PPA) targets

    More skills:

    AI/ML, AutoGen, CrewAI, Model Context Protocol (MCP), Verilog/SystemVerilog

    Other:

    • AMD benefits at a glance
    • Equal opportunity, inclusive employer
    • Accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process
    • AMD may use Artificial Intelligence to help screen, assess or select applicants for this position
    • Responsible AI Policy available

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