Lead Software Engineer (Back-End Engineer)
Cadence Bengaluru, Karnataka, India
Job Description
"Unlock the power of innovation at Cadence and join a team of leaders who are revolutionizing the world of technology with cutting-edge solutions in drug discovery and design."
As a Lead Software Engineer (Back-End Engineer) at Cadence, you will have the opportunity to work on a high-performance computing platform that enables scientists to model billions of compounds in-silico, making a significant impact on human health.
Our innovative solutions empower customers to explore chemical space, evaluate designs, and gain scientific understanding, making it an exciting time to join our team and contribute to the development of Orion.
Why you should learn this:
With the increasing demand for AI-driven solutions in the pharmaceutical industry, the role of a Back-End Engineer is in high demand, offering excellent career prospects and opportunities for growth.
Expected Salary: $150,000 - $250,000 per annum, depending on experience, with opportunities for bonuses and stock options.
How it works:
- Design and implement scalable, high-performance back-end systems using languages such as Java, Python, or C++ to support Orion's advanced computational methods.
- Collaborate with cross-functional teams to architect and optimize the high-performance compute platform, ensuring seamless integration with in-browser 3D visualization and modeling.
Core Concepts to Master
High-Performance Computing
Understanding the principles of high-performance computing, including parallel processing, distributed systems, and optimization techniques to ensure Orion's computational methods are scalable and efficient.
Cloud Computing
Designing and implementing cloud-based solutions using Amazon Web Services, Microsoft Azure, or Google Cloud Platform to support Orion's high-performance compute platform.
Containerization and Orchestration
Using containerization tools such as Docker and orchestration tools such as Kubernetes to ensure efficient deployment, scaling, and management of Orion's back-end systems.
Data Storage and Management
Designing and implementing data storage and management systems to support Orion's large-scale data processing and storage needs.
API Design and Development
Designing and implementing RESTful APIs to provide seamless integration between Orion's back-end systems and front-end applications.
Interview Questions (Beginner)
- What is your experience with high-performance computing and how would you approach optimizing Orion's computational methods?
- Can you explain the principles of containerization and orchestration and how you would use them to deploy and manage Orion's back-end systems?
- How would you design and implement a data storage and management system to support Orion's large-scale data processing and storage needs?
Job Overview
Advance Questions
- • Can you describe a scenario where you had to design and implement a high-performance back-end system using a language such as Java, Python, or C++?
- • How would you approach optimizing the performance of Orion's high-performance compute platform using techniques such as parallel processing and distributed systems?
- • Can you explain how you would design and implement a cloud-based solution using Amazon Web Services, Microsoft Azure, or Google Cloud Platform to support Orion's high-performance compute platform?