Distributed Systems Engineer- job post Cadence Design Systems

Full job description
At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
About the Role

We're building a next-generation distributed transistor-level electromigration and IR drop analysis tool. Our team has strong expertise in numerical solvers and circuit simulation algorithms. We're looking for a motivated distributed systems engineer to help build the scalable data processing infrastructure for handling massive circuit designs across distributed computing resources.

What You'll Build

You'll contribute to the core distributed infrastructure for a Python-based platform orchestrating high-performance C++ solvers, working on:

Data Pipeline & I/O Management

Build ingestion pipelines for large-scale netlists and simulation data

Implement high-performance I/O for multi-TB circuit databases

Develop serialization/deserialization layers bridging Python and C++ components

Design streaming interfaces for distributed solver results

Job Orchestration & Workflow

Implement task distribution with fault-tolerant scheduling for long-running simulations

Develop resource management and load balancing across compute clusters

Build monitoring and observability for distributed workflows

Optimize task granularity and dependency management

Required Expertise

Distributed Systems

3+ years building distributed systems with Python

Experience with distributed computing frameworks (Dask, Spark, Ray, or Celery)