Cadence

Software Engineer II: AI Inhouse Adoption

Brazil · Work style not stated · Full time

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About the role

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  • EmployerCadence
  • LocationBrazil
  • Work styleWork style not stated
  • Employment typeFull time
  • Employer posted

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

Cadence Design Systems Inc. is looking for a motivated Software Engineer II: AI Inhouse Adoption to work with us in Belo Horizonte, Brazil.

At Cadence, we hire and develop leaders and innovators who want to impact the world of technology. Cadence has been nominated as a Great Place to Work globally is also a Fortune 100 Best Companies to Work For.

As a Software Engineer II: AI Inhouse Adoption, you will be part of the Hardware Systems Verification Software team in Belo Horizonte, Brazil.

The HSV Software team works with the Palladium emulation platform and Protium prototyping platforms and enables engineering productivity across global development workflows. To understand more about what we do Click here. Working at Cadence is very dynamic, fast-paced, and integrated with other teams all around the world.

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Job Description:

  • Develop, deploy, and maintain AI-enabled tools, environments, and workflows for Hardware System Verification Software engineering teams.
  • Build internal utilities, automation scripts, and services that make AI capabilities easier to access and use in daily engineering work.
  • Integrate AI solutions with existing engineering infrastructure, development environments, source repositories, internal knowledge sources, and enterprise platforms.
  • Apply LLM and agent concepts to enable assisted workflows such as knowledge retrieval, task automation, tool usage, and workflow orchestration.
  • Design guardrails, access controls, and secure development environments to ensure AI capabilities can be deployed responsibly without exposing proprietary code, data, or engineering knowledge.

Requirements:

  • Complete bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
  • 2+ years of software development experience.
  • Advanced proficiency in Python.
  • Experience developing internal tools, automation, services, or engineering productivity solutions.
  • Understanding of LLM concepts, AI agents, prompt engineering, tool calling, and RAG-based workflows.
  • Familiarity with Unix/Linux environments.
  • Ability to troubleshoot technical issues and support engineering users.
  • Very good spoken and written English and Portuguese.

Nice to have:

  • Experience integrating AI tools with CI/CD systems, enterprise platforms, internal knowledge bases, or access-control systems.
  • Familiarity with AI evaluation, benchmarking, model-quality measurement, or metrics-driven product improvement.
  • Knowledge of vector databases, embeddings, or AI-based knowledge retrieval systems.
  • Familiarity with orchestration tools such as LangChain, CrewAI, LangGraph, AutoGen, or similar agent frameworks.
  • Experience with other programming languages like C++ or TCL.
  • Knowledge of EDA, VLSI design, design verification, emulation, prototyping, Palladium, or Protium workflows.

Additional Job Details:

  • Employment category: CLT
  • Employment term: 40 hours/week.
  • Competitive benefits.
  • Location: Av Contorno 5800, Belo Horizonte, Minas Gerais Brazil.

About Cadence Design Systems:

Cadence is the only company that provides the expertise and tools, IP, and hardware required for the entire electronics design chain, from chip design to chip packaging to boards and to systems. We enable electronic systems and semiconductor companies to create innovative products that transform the way people live, work, and play. Our products are used in mobile, consumer, cloud datacenter, automotive, aerospace, IoT, industrial and other market segments. For more information, access www.cadence.com

We’re doing work that matters. Help us solve what others can’t.

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At a glance

  • Employment typeFull time
  • Employer posted
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Skills in this posting

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Python LLM

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