Senior AI/ML Engineer

AMD
Belgrade
Workplace: HybridFull timeFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Pragmatic","Detail-oriented","Systems mindset","Focus on robustness","Collaboration"]

Build, scale, and deploy an AI-assisted silicon design framework that accelerates the spec-to-netlist lifecycle. Design modular, agentic ecosystems that use retrieval-augmented generation (RAG), structured tool execution, and iterative code generation to support complex IP development tasks. Work with IP and SoC teams to turn AI prototypes into reliable, production-grade solutions, including closed-loop automation from compiler and EDA tool feedback.

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FursaFursa
AMD
AMD
1 day ago

Senior AI/ML Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Build, scale, and deploy an AI-assisted silicon design framework that accelerates the spec-to-netlist lifecycle. Design modular, agentic ecosystems that use retrieval-augmented generation (RAG), structured tool execution, and iterative code generation to support complex IP development tasks. Work with IP and SoC teams to turn AI prototypes into reliable, production-grade solutions, including closed-loop automation from compiler and EDA tool feedback.
Location: Belgrade
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and deploy modular AI agent architectures for task decomposition and structured tool usage across the spec-to-RTL lifecycle.
  • •Develop and optimize multi-step agent workflows, including prompt orchestration, context management, and state handling.
  • •Build and scale hybrid retrieval systems, including RAG pipelines and knowledge graphs, grounded in hardware specifications and architectural data.
  • •Implement closed-loop automation that interprets compiler errors and EDA tool outputs (lint, simulation) to refine designs.
  • •Integrate LLMs with external tools using MCP and custom APIs, and establish evaluation pipelines to validate correctness, synthesis readiness, and PPA targets.

Key Requirements

  • •Experience developing production-grade AI/LLM applications and agent-based systems.
  • •Hands-on experience with orchestration frameworks such as LangChain, AutoGen, CrewAI, or similar agent architectures.
  • •Strong API development skills integrating LLMs with external tools and systems.
  • •Familiarity with Model Context Protocol (MCP) or similar tool-calling frameworks.
  • •Foundational understanding of silicon IP design/verification workflows, including exposure to Verilog/SystemVerilog or digital design concepts.
Experience:Production AILLMsAgent-based systemsSilicon IP designEDA workflows
Education:Bachelor's
Skills:PragmaticDetail-orientedSystems mindsetFocus on robustnessCollaboration
Tech Stack:PythonC++GoLLMsLangChainAutoGenCrewAIRAGKnowledge graphsModel Context Protocol (MCP)APIsVerilogSystemVerilogSynopsysCadenceSiemensLinux

Company Brief

AMD
Designs and produces semiconductor products including CPUs, GPUs, and adaptive SoCs for consumer, enterprise, and embedded markets, competing across PCs, data centers, and gaming industries.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1969
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Glassdoor: 3.9
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