154 Cadence Design Systems Jobs

About Cadence :

Cadence is a global technology company specializing in complex software systems that solve high-performance computing challenges.

With a legacy of innovation and excellence in computational software, we develop scalable platforms and intelligent solutions that transform how products are designed and built.

Our teams work on some of the most advanced software systems in the world, enabling breakthrough performance, reliability, and optimization at scale.

Role Overview :

We are seeking a Lead Software Engineer to join a high-impact development team building core components of a large-scale, high-performance system.

This role focuses exclusively on designing and implementing software solutions that process and analyze complex data models with high computational demands.

You will be part of a team responsible for delivering production-grade, high-efficiency software that supports massive parallel processing, memory-efficient operations, and data-intensive algorithms.

Core Responsibilities :

- Design, develop, and maintain performant, modular software components for data processing and analysis.

- Implement advanced algorithms for geometric and topological data transformation.

- Optimize software performance in terms of CPU utilization, memory footprint, and I/O efficiency.

- Develop and maintain internal tools for debugging, profiling, and regression testing.

- Participate in software design reviews and ensure adherence to best practices and software quality standards.

- Collaborate with engineers across locations to integrate software components into a unified platform.

- Maintain code scalability and extensibility while handling large, complex codebases.

Technical Skills Required :

- Expert-level proficiency in C++ (11 or later) including STL, memory management, and concurrency.

- Working knowledge of Python for scripting, automation, and tool development.

- Strong understanding of algorithms, data structures, and software design patterns.

- Experience with multi-threading, concurrent programming, and parallel computing techniques.

- Hands-on experience with performance tuning, profiling tools (e.g., Valgrind, gprof, perf), and debugging large codebases.

- Familiarity with build systems (e.g., CMake), version control systems (e.g., Git), and CI/CD pipelines.

- Comfortable working in Linux/Unix development environments.

Preferred Qualifications :

- Experience developing large-scale distributed systems or data-intensive applications.

- Exposure to geometric computation, graph algorithms, or computational geometry.

- Familiarity with unit testing frameworks, code coverage tools, and static analysis utilities.

- Background in developing high-performance back-end systems or platform-level software components.

Educational Requirements : Bachelors or Masters degree in Computer Science, Software Engineering, or a closely related technical field from an accredited institution