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Lead AE in Digital and STA

Cadence

Lead AE in Digital and STA

Cadence

Meylan 01

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Comprehensive health, dental, and vision insurance

Professional development budget

Generous paid time off and holidays

Team events and activities

Flexible work arrangements

Competitive salary and equity package

Healthcare

Learning

Flexible Hours

Equity

Required Skills

Python

JavaScript

PostgreSQL

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

We are looking for an

Application Engineer in Timing Analysis, located in Grenoble

Job Description, Role and Key Responsibilities

This is an excellent opportunity to work on challenging and complex SoC projects at advanced technology nodes with

leading companies in the semiconductor domain.

The Application Engineer will provide technical support for our signoff timing analysis solutions, working closely with Cadence R&D and customer R&D on tool qualification and support tool usage with customer design teams.  Key responsibilities include:

  • Validate new tool releases through exhaustive regression testing in collaboration with Product Engineers & Product Validation Engineers. Enhance current processes to run regression tests, validate results and coordinate kit/tool versions.

  • Understand and enhance timing analysis mechanisms for advanced nodes.

  • Investigate and resolve complex timing issues, including algorithmic and physical phenomena.

  • Learn and analyse dependencies between timing analysis and the broader digital implementation flow.

  • Write and and maintain timing constraints; perform cross-domain clock checking as part of signoff validation.

  • Assist in integrating new STA requirements into the tool for advanced technologies.

  • Promote and present new features; guide and support customers in integrating the latest Tempus technologies into their design flow.

  • Support customers in using signoff tools on live projects, including:

    Timing optimization setup issues and convergence challenges in our digital tool suite

    Support timing ECO flows and globally contribute to improving workflows and tool efficiency

Requirement, Experience, Education

The Application Engineer will have:

  • Good knowledge of Static Timing Analysis (STA) and signoff methodologies.

  • Hands-on experience with digital implementation flows, timing optimization, SDC and CDC checks.

  • A working knowledge of UNIX/Linux, scripting (C-shell, TCL/TK, Python).

  • Exposure to AI/ML techniques and interest in applying them for design optimization, verification, or predictive analysis.

  • Good understanding of digital IC design and EDA tools (experience with Cadence Innovus/Tempus is a plus).

  • Around 4 to 10 years of experience in digital design flow and timing analysis

  • Degree in Electrical/Electronic Engineering, Microelectronics, or a related discipline.

  • Good communication skills; fluent in English and French is a plus

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