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Lead Software Engineer: Innovus Clock Tree Synthesis

Cadence

Lead Software Engineer: Innovus Clock Tree Synthesis

Cadence

BELO HORIZONTE

·

On-site

·

Full-time

·

2w ago

Benefits & Perks

Competitive benefits

Required Skills

C

Tcl

Software Engineering

Programming

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 Lead Software Engineer to work with us in Belo Horizonte, Brazil. You will be joining an exciting R&D team responsible for innovating, designing, and developing key technology used within the Innovus™ product.

Cadence has been nominated as a Great Place to Work globally and in Brazil and is also a Fortune 100 Best Companies to Work For.

Job Responsibilities:

  • Research, design, and implement EDA physical design algorithms and technology, primarily in Clock Tree Synthesis (CTS).
  • Develop code in C and Tcl within a distributed software development environment with other contributors from around the world.
  • Explore and integrate AI and Machine Learning (ML) techniques to improve quality of results.
  • Optimize existing technology solutions and determine opportunities for further enhancements.
  • Debug customer issues and fix bugs to ensure software is functionally correct. Build unit tests and run regressions to validate the functionality of the software being developed.

Minimum Requirements:

  • Complete Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or another numerate discipline such as Physics or Mathematics.
  • Strong programming and software engineering experience in a C-like programing language (C/C/Java/C#/Rust etc.).
  • Interest in software engineering: language features, data structures, design patterns, unit testing, automation tools.
  • Good verbal and written communication skills in English/Portuguese and a good team player.
  • Ability to meet stringent deadlines within a fast-paced work environment.

Nice to Have:

  • A Ph.D. degree in a relevant discipline or Master’s with at least 2 years of work experience in a comparable software engineering role.
  • Knowledge of algorithms and data structures in Computer Science, specifically in Electronic Design Automation (Placement, Routing, Clock Tree Synthesis, etc.).
  • Awareness of the fundamentals of machine learning and AI. Experience in the use of AI/ML for EDA is a strong plus.
  • Knowledge of Linux command line tools.
  • Strong data analysis skills and python knowledge.

Additional Job Details:

  • Employment category: CLT.
  • Employment term: 40 hours/week.
  • Competitive benefits.

About Cadence:

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 http://www.cadence.com

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