Senior Distributed Systems Engineer - EDA/VLSI Platform
Cadence Design Systems · San Jose, CA
About this role
Cadence Design Systems is hiring a senior-level Systems Engineer in the operations function based in San Jose, CA. The posting calls out experience with Distributed Systems, Python, Spark, Ray and roughly 5+ years of relevant work. Compensation is listed at $154,000–$286,000 per year.
- Role
- Systems Engineer
- Function
- operations
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- San Jose, CA
- Experience
- 5+ years
- Posted
- May 4, 2026
More roles at Cadence Design Systems
Job description
from Cadence Design Systems careersAt 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 need an experienced distributed systems engineer to design the scalable data processing infrastructure for handling massive circuit designs across distributed computing resources.
What You'll Build
Architect and develop the core distributed infrastructure for a Python-based platform orchestrating high-performance C++ solvers, focusing on:
Data Pipeline & I/O Management
- Efficient ingestion pipelines for large-scale netlists and simulation data
- High-performance I/O for multi-TB circuit databases
- Serialization/deserialization layers bridging Python and C++ components
- Streaming results from distributed solver instances
Job Orchestration & Workflow
- Task distribution architecture with fault-tolerant scheduling for long-running simulations
- Resource management and load balancing across compute clusters
- Monitoring and observability for distributed workflows
- Optimization of task granularity and dependency management
Visualization & Analytics
- Scalable visualization for multi-dimensional TB-scale simulation results
- Interactive data exploration and optimization techniques (downsampling, LOD, progressive rendering)
Required Expertise
Distributed Systems
- 5+ years building production distributed systems with Python
- Deep experience with Dask Distributed or similar frameworks (Spark, Ray, Celery)
- Strong grasp of distributed computing patterns, data locality, and fault tolerance