Cadence Design Systems

Lead Software Engineer: AI for Hardware Verification

Cadence Design Systems • $119K — $221K *
Telecommunications & Hardware
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
  • Strong Python skills and software engineering fundamentals, including APIs and testing.
  • Hands-on experience building AI-enabled applications and automation services using LLM APIs.
  • Understanding of modern RAG and agentic AI patterns.
  • Ability to evaluate and debug AI product behavior using responsible practices.

Responsibilities

  • Design and develop AI-enabled software components for prototyping workflows.
  • Build LLM-based agents and automation services to enhance design verification processes.
  • Apply secure AI practices focusing on data protection and safe tool use.
  • Create and execute testing and evaluation workflows for AI product areas.
  • Serve as a technical resource and collaborate with internal teams to deliver high-quality software.

Benefits

  • Competitive benefits package including paid vacation and holidays.
  • 401(k) plan with employer match.
  • Employee stock purchase plan.
  • Various medical, dental, and vision plan options.
  • Flexible working environment with opportunities for collaboration.
Full Job Description
Cadence Design Systems Inc. is looking for a motivated Lead Software Engineer to work with us in San Jose, California.

As a Lead Software Engineer, you will be part of the HSV Software team in the SVG group in San Jose, California.

The HSV Software team builds AI-enabled software products that support emulation and prototyping platforms, helping customers accelerate design bring-up, debug, verification, and validation workflows.

To understand more on what we do, you can visit https://www.cadence.com/en_US/home/tools/system-design-and-verification.html.

Working at Cadence is very dynamic, fast-paced, and integrated with other teams all around the world.

Job Description:
  • Design and develop AI-enabled software components for emulation and prototyping workflows, balancing reliability, maintainability, security, latency, cost, and integration with existing product architecture.
  • Build LLM-based agents, RAG workflows, and automation services that improve design bring-up, verification, debug, and validation while recommending product enhancements beyond defect fixes.
  • Apply secure and responsible AI practices, including data protection, access control, prompt-injection awareness, safe tool use, auditability, and careful handling of sensitive design data.
  • Create and execute testing, evaluation, and observability workflows for assigned AI product areas, covering regression tests, retrieval quality, model-output review, tracing, and failure analysis.
  • Serve as a technical resource for peers and less-experienced engineers, collaborating with internal partners, senior individual contributors, and managers to deliver high-quality AI-enabled software.

Requirements:
  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience; typically 4+ years with a Bachelor's, 2+ years with a Master's, or PhD-level preparation in related software development.
  • Strong Python skills and software engineering fundamentals, including APIs, testing, debugging, maintainability, Unix/Linux environments, and distributed development workflows.
  • Hands-on experience building AI-enabled applications, agentic workflows, or automation services using LLM APIs, open-source models, enterprise AI platforms, and orchestration tools such as LangGraph, LangChain, AutoGen, CrewAI, or similar frameworks.
  • Understanding of modern RAG and agentic AI patterns, including retrieval, chunking, embeddings, vector or hybrid search, reranking, tool calling, workflow orchestration, human-in-the-loop review, and traceability.
  • Ability to evaluate, secure, and debug AI product behavior using golden datasets, regression tests, hallucination checks, prompt and retrieval analysis, observability traces, quality metrics, and responsible AI practices.


Nice to have:

  • Experience developing software using version control systems and modern CI/CD practices.
  • Experience with other programming languages such as C++, Tcl, or JavaScript/TypeScript.
  • Knowledge or experience with design verification, emulation, prototyping, or hardware-assisted debug workflows.
  • Knowledge or experience with EDA and VLSI design, including Verilog, SystemVerilog, or VHDL.
  • Exposure to practical AI application security, such as prompt-injection awareness, safe tool integration, access control, input/output validation, or secure handling of design data.


Additional Job Details:
  • Employment category: Full-time.
  • Employment term: 40 hours/week.
  • Competitive benefits.
  • Location: San Jose, California.


The annual salary range for California is $119,000 to $221,000. You may also be eligible to receive incentive compensation: bonus, equity, and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the salary range is a guideline and compensation may vary based on factors such as qualifications, skill level, competencies and work location. Our benefits programs include: paid vacation and paid holidays, 401(k) plan with employer match, employee stock purchase plan, a variety of medical, dental and vision plan options, and more.

About Cadence Design Systems

Cadence Design Systems, Inc. is an American multinational electronic design automation software and engineering services company, founded in 1988 by the merger of SDA Systems and ECAD, Inc. The company produces software, hardware and silicon structures for designing integrated circuits, systems on chips (SoCs) and printed circuit boards.
Learn more about Cadence Design Systems
Size
9,300 employees
Market Cap
$43.9 billion
Industry
Net Income
$590.6 million
Founded
2018
5 Year Trend
+10.5%
Revenue
$2.6 billion
NASDAQ

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