At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
Senior Principal Software Engineer â Compute System & EDA Infrastructure
About the Role
This is an exceptional opportunity to join a global leader in computational software, pioneering AIâdriven and digitalâtwinâenabled design technologies that accelerate innovation across industries. According to Cadenceâs latest corporate overview, the company is a market leader in AI and Intelligent System Design, providing essential computational platforms used by the worldâs top semiconductor and systems companies to build nextâgeneration productsâfrom silicon to full electromechanical systems.
Our team develops the compute system that powers largeâscale EDA workflows. This includes a distributed scheduler, highâthroughput data services, and dashboards enabling visibility and orchestration across complex engineering workloads. You will work at the intersection of large compute infrastructures, advanced EDA algorithms, and crossâteam system integration.
Responsibilities
- Architect, design, and develop core components of the compute system, including:
- Distributed job scheduling and workload orchestration
- Highâperformance data services and metadata management
- Dashboard, monitoring, and system observability tools
- Build robust integrations between compute infrastructure and advanced EDA workflows.
- Lead endâtoâend design discussions and drive technical direction for multiâteam, multiâcomponent systems.
- Analyze, debug, and resolve highly complex issues across distributed systems, data pipelines, and workflow coordination.
- Implement new features that improve performance, scalability, and reliability of largeâscale analysis workloads.
- Mentor engineers, drive engineering best practices, and influence architectural decisions across organizational boundaries.
- Collaborate closely with crossâfunctional teams including product engineering, runtime infrastructure, DevOps, and customer engineering.
- Troubleshoot customer scenarios, perform rootâcause analysis across logs/telemetry, and provide highâquality solutions.
Minimum Qualifications
- MS/BS in Computer Science, Electrical Engineering, Computer Engineering, or related field.
- Strong understanding of algorithms, data structures, and system-level software design.
- Proficiency in C or C++, including debugging, optimization, and largeâcodebase development.
- Experience building backend systems or distributed compute frameworks.
Preferred Qualifications
- 5+ years of professional software engineering experience, ideally in systemâlevel or distributed system development.
- Proficiency with one or more additional languages:
- Experience with Angular or other modern frontend frameworks.
- Familiarity with largeâscale compute workflows, job scheduling, cluster systems, or HPC environments.
- Strong troubleshooting skills, particularly in distributed, performanceâsensitive, or multiâcomponent systems.
- Excellent crossâteam communication and the ability to lead initiatives across multiple engineering groups.
- Ability to work in fastâpaced environments and quickly learn new technologies.
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