Senior Principal Software Engineer – Compute System & EDA Infrastructure

Cadence Design Systems • Austin, TX

1d

About The Position

This is an exceptional opportunity to join a global leader in computational software, pioneering AI‑driven and digital‑twin‑enabled design technologies that accelerate innovation across industries. According to Cadence’s latest corporate overview, the company is a market leader in AI and Intelligent System Design, providing essential computational platforms used by the world’s top semiconductor and systems companies to build next‑generation products—from silicon to full electromechanical systems. Our team develops the compute system that powers large‑scale EDA workflows. This includes a distributed scheduler, high‑throughput 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 cross‑team system integration.

Requirements

• 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 large‑codebase development.
• Experience building backend systems or distributed compute frameworks.

Nice To Haves

• 5+ years of professional software engineering experience, ideally in system‑level or distributed system development.
• Proficiency with one or more additional languages: Python Go TypeScript Rust
• Experience with Angular or other modern frontend frameworks.
• Familiarity with large‑scale compute workflows, job scheduling, cluster systems, or HPC environments.
• Strong troubleshooting skills, particularly in distributed, performance‑sensitive, or multi‑component systems.
• Excellent cross‑team communication and the ability to lead initiatives across multiple engineering groups.
• Ability to work in fast‑paced environments and quickly learn new technologies.

Responsibilities

• Architect, design, and develop core components of the compute system, including: Distributed job scheduling and workload orchestration High‑performance data services and metadata management Dashboard, monitoring, and system observability tools
• Build robust integrations between compute infrastructure and advanced EDA workflows.
• Lead end‑to‑end design discussions and drive technical direction for multi‑team, multi‑component 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 large‑scale analysis workloads.
• Mentor engineers, drive engineering best practices, and influence architectural decisions across organizational boundaries.
• Collaborate closely with cross‑functional teams including product engineering, runtime infrastructure, DevOps, and customer engineering.
• Troubleshoot customer scenarios, perform root‑cause analysis across logs/telemetry, and provide high‑quality solutions.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees