Cadence Design Systems

Applied ML - Functional Verification Engineer

Cadence Design Systems$114K — $213K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • BS with 4+ years or MS with 2+ years experience, or new PhD Graduate.
  • Over 3 years of expertise in pre-silicon ASIC verification methodologies.
  • Advanced debugging skills in waveform viewers and simulation analysis tools.
  • Hands-on experience with EDA tools like Jasper and Xcelium.
  • Strong programming skills in Verilog, System Verilog, and Python.
  • Excellent communication skills in a team-oriented setting.
  • Proactive approach to problem solving and continuous learning.

Responsibilities

  • Contribute to the application of machine learning techniques in verification methodologies.
  • Develop AI solutions to accelerate pre-silicon Design Verification.
  • Utilize AI-enhanced EDA tools to improve design and verification cycles.
  • Engage with customers to understand and deliver effective verification strategies.
  • Collaborate with ML and software engineering teams to ensure output quality.
  • Stay updated on advancements in AI-powered verification,

Benefits

  • Work on cutting-edge technology that encourages creativity and innovation.
  • Employee-friendly policies focused on well-being and career development.
  • Collaborative
  • One Cadence - One Team
  • Diverse and passionate team environment.
  • Multiple learning and development opportunities.
Full Job Description
Position Overview

Cadence Design Systems Inc. is looking for a motivated and results driven Pre-Silicon Verification Engineer with extensive experience in function verification (formal verification and/or simulation/UVM verification) and a passion for leveraging artificial intelligence to redefine the verification landscape. In this role, you will be part of the ChipStack AI Super Agent team and will operate at the forefront of semiconductor design and AI innovation, utilizing advanced AI tools to architect, design, and validate the next generation of verification methodologies. You will collaborate closely with a highly skilled team of machine learning engineers experienced in training large language models at scale, as well as accomplished software engineers with proven expertise in product development and deployment. You will be working on the world's first agentic AI platform that autonomously designs and verifies chips with up to 10 productivity gains.

Key Responsibilities
  • Contribute to the application of machine learning techniques aimed at streamlining traditional pre-silicon functional verification methodologies like formal verification and UVM.
  • Develop agentic AI solutions using LLMs and latest ML technologies to accelerate pre-silicon Design Verification process.
  • Employ AI enhanced Electronic Design Automation (EDA) tools to improve and expedite both the design and verification lifecycles.
  • Engage directly with customers to understand requirements and deliver innovative, practical verification strategies.
  • Collaborate effectively with machine learning and software engineering teams to validate output correctness, efficiency, and quality.
  • Maintain current knowledge of advancements in AI-powered hardware verification and actively participate in fostering internal knowledge growth.


Required Qualifications
  • BS with a minimum of 4 years of experience OR MS with a minimum of 2 years of experience OR new PhD Graduate
  • Proven expertise of more than 3 years in at least one of the pre-silicon ASIC verification methodologies such as Formal, SV/UVM and/or OVM.
  • Advanced skills in debugging pre-silicon verification failures using waveform viewers and simulation analysis tools.
  • Hands-on experience with industry standard EDA tools (e.g., Jasper, Xcelium, IMC).
  • Strong programming skills in Verilog, System Verilog and Python
  • Excellent communication skills and the ability to thrive in a team-oriented environment.
  • Self-motivated, with a proactive approach to problem solving, continuous learning, and innovation.
  • Exposure to LLMs and ML technologies like RAG, RFT, RL, and Agentic frameworks would be a plus.


The Cadence Advantage
  • The opportunity to work on cutting-edge technology in an environment that encourages you to be creative, innovative, and to make an impact.
  • Cadence's employee-friendly policies focus on the physical and mental well-being of employees, career development, providing opportunities for learning, and celebrating success in recognition of specific needs of the employees.
  • The unique "One Cadence - One Team" culture promotes collaboration within and across teams to ensure customer success
  • Multiple avenues of learning and development available for employees to explore as per their specific requirement and interests
  • You get to work with a diverse team of passionate, dedicated, and talented individuals who go above and beyond for our customers, our communities, and each other-every day.

The annual salary range for California is $114,800 to $213,200. 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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