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Lead Solutions Engineer – Runset Enablement (Physical Verification)

Cadence

Lead Solutions Engineer – Runset Enablement (Physical Verification)

Cadence

AUSTIN

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Professional development budget

Generous paid time off and holidays

Parental leave

401(k) matching

Comprehensive health, dental, and vision insurance

Learning

Parental Leave

Healthcare

Required Skills

TypeScript

JavaScript

PostgreSQL

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

We are seeking a Lead Solutions Engineer specializing in** runset enablement** to support advanced semiconductor technologies. This role is critical for timely delivery of physical verification solutions by providing full-time coverage in the U.S. time zone. You will lead development and validation of Pegasus** DRC and LVS runsets**, collaborate with R&D on CCRs, and enable customer adoption through robust automation and best practices.

Key Responsibilities

  • Lead development and validation of Pegasus DRC and LVS runsets for advanced nodes.
  • Architect automation frameworks for regression execution, issue detection, and validation reporting.
  • Collaborate with R&D to resolve CCRs, influence product roadmap, and implement performance improvements.
  • Provide technical enablement and support for customers on tool usage and advanced methodologies.
  • Mentor junior engineers and establish best practices for runset development and QA.
  • Work closely with internal teams to ensure timely delivery of verification solutions.

Qualifications

  • MS degree with 5+ years of experience or PhD with 3+ years in Electrical Engineering, Computer Science, or related field.
  • Strong understanding of semiconductor design and physical verification flows.

Experience and Technical Skills

  • Proven expertise in developing and validating DRC and LVS runsets for Pegasus or similar tools (Calibre, ICV, Assura).
  • Good-to-have: Experience with PERC and Fill runsets.
  • Deep knowledge of advanced process technologies and methodologies (Ground Rules, Smart Fill, ESD).
  • Proficiency in scripting languages (TCL, Python, Perl) and Linux/Unix environments.
  • Familiarity with chip fabrication processes and multi-die integration challenges.
  • Experience in automation frameworks for regression and validation.

Behavioral Skills

  • Strong leadership and mentoring capabilities.
  • Excellent written, verbal, and presentation skills.
  • Ability to influence cross-functional teams and drive strategic initiatives.
  • Innovative mindset to explore unconventional solutions and optimize workflows.
  • Operate with integrity and foster collaboration across global teams.

Cadence is committed to equal employment opportunity and employment equity throughout all levels of the organization. We strive to attract a qualified and diverse candidate pool and encourage diversity and inclusion in the workplace.

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

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About Cadence

Cadence

Cadence

Public

Cadence Design Systems provides electronic design automation (EDA) software, hardware, and IP for designing and verifying electronic systems and semiconductors.

5,001-10,000

Employees

San Jose

Headquarters

Reviews

3.3

7 reviews

Work Life Balance

2.0

Compensation

2.5

Culture

1.8

Career

2.0

Management

1.5

15%

Recommend to a Friend

Pros

Built strong client relationships

Useful for repetitive tasks

Employment opportunities

Cons

Poor management and micromanagement

Lack of career growth opportunities

Technical architecture and code quality issues

Salary Ranges

65 data points

Junior/L3

Junior/L3 · Data Analyst

1 reports

$91,103

total / year

Base

$85,276

Stock

-

Bonus

$5,827

$59,612

$139,984

Interview Experience

1 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Final Decision

Common Questions

Technical Knowledge

Behavioral/STAR

Past Experience

Problem Solving