HQ GROUP

Job Description:

We Are:

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.

You Are:

You are a motivated and experienced Software Development Engineer with a passion for Python and a knack for DevOps, CI/CD, and Observability in HPC environments. You thrive in a collaborative setting and are eager to contribute to a team that values innovation and excellence. With a strong background in computer science and a keen understanding of functional and object-oriented programming paradigms, you are adept at writing high-quality code that meets rigorous software quality criteria. You are also proficient in using version control tools like Git and familiar with developing and maintaining auto-test and regression ecosystems. Your excellent communication skills enable you to work seamlessly with remote teams across different time zones. Additionally, you have a proactive problem-solving capability and a quick learning aptitude that allows you to adapt to new IT infrastructure engineering technologies swiftly.

What You’ll Be Doing:

• Develop state-of-the-art applications to optimize IT infrastructure and compute environments.
• Continue to refactor and maintain existing applications and infrastructure ecosystems.
• Write quality code and comply with software quality criteria by verifying various tests (unit/feature/integration) to ensure software quality.
• Apply software design principles to ensure software quality, reliability, and scalability in large-scale IT infrastructure.
• Ensure sustainability and performance of applications by working with SRE to define SLI/SLO and providing metrics for monitoring/alerting.
• Collaborate with peers in design, pair programming, and code reviews.
• Stay updated and willing to learn new IT technology and methodologies.
  
  

The Impact You Will Have:

• Enhance the efficiency and scalability of Synopsys' IT infrastructure and compute environments.
• Improve the reliability and performance of critical applications through high-quality code and rigorous testing.
• Contribute to the sustainability and monitoring of applications, ensuring they meet performance metrics.
• Drive innovation and excellence through collaborative design and code review processes.
• Support the continuous improvement of Synopsys' EDA Infrastructure & Development Environment.
• Help Synopsys maintain its leadership in chip design, verification, and IP integration.
  
  

What You’ll Need:

• Bachelor’s degree or above in Computer Science, Information Technology engineering, or related fields, or equivalent practical experiences.
• 4+ years of relevant experience.
• Proficiency in Python, with experience in other languages such as Java, C/C++, C# being a plus.
• Strong understanding of algorithms and data structures.
• Familiarity with Functional Programming, Object-oriented programming, or other programming paradigms.
• Experience in building/maintaining auto-test/regression, and test cases ecosystems/processes to ensure software quality before release/deployment.
• Knowledge of source code version control/code review tools or services like Git, GitLab, GitHub.
• Fluent English communication skills, both spoken and written.
  
  

Who You Are:

• Good communication and interpersonal skills with proactive problem-solving capability.
• Quick learning and adaptability to new IT infrastructure engineering technologies.
• Highly motivated, critical thinker, and team player.
• Able to collaborate seamlessly with remote teams from different time zones.
  
  

The Team You’ll Be A Part Of:

You will be part of the Synopsys Infrastructure Engineering Team, responsible for providing best-in-class Observability and Monitoring solutions for our EDA Infrastructure & Development Environment. This team is focused on delivering insights from massive scale data in real-time, optimizing to meet the scale and complexity of EDA workloads.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.