Distributed Systems Engineer

Job Title

Distributed Systems Engineer

Role Summary

Join a team building a next-generation distributed transistor-level electromigration and IR drop analysis platform. The role focuses on designing and implementing scalable distributed data pipelines, orchestration, and visualization to support multi-terabyte circuit simulation workloads.

This is an engineering role working with a Python-based orchestration layer and high-performance C++ solvers to enable reliable, observable, and performant distributed simulations.

Experience Level

Mid-level. Prefer candidates with 3+ years building distributed systems; equivalent production experience considered.

Responsibilities

Deliver core distributed infrastructure and tooling to process large-scale circuit simulation data across compute clusters.

• Design and implement ingestion pipelines and high-performance I/O for multi-TB netlists and simulation data.
• Develop serialization/deserialization and Python/C++ interoperability layers.
• Implement task distribution, fault-tolerant scheduling, resource management, and load balancing for long-running simulations.
• Build monitoring, observability, and optimization for distributed workflows and task granularity.
• Develop scalable visualization and interactive data exploration for large, multi-dimensional simulation results.

Requirements

Must-have technical skills and experience for immediate contribution.

• Must-have: 3+ years building distributed systems with Python and production experience in large codebases.
• Experience with distributed computing frameworks (Dask, Spark, Ray, or Celery) and understanding of data locality and fault tolerance.
• Experience with high-performance data formats (HDF5, Parquet, Arrow) and data partitioning/streaming patterns.
• Familiarity with Python/C++ interop tools (e.g., pybind11, nanobind) and strong Python and C++ programming skills.
• Knowledge of software engineering best practices: testing, code review, and collaborative workflows.
• Nice-to-have: EDA/VLSI or computational engineering background, scientific visualization experience, HPC job scheduler (Slurm, PBS, LSF) experience, GPU acceleration, cloud platforms (AWS/GCP/Azure), Go or modern visualization tools, and open-source contributions.

Education Requirements

Not specified.

About the Company

Company: Cadence Design Systems

Headquarters: San Jose, California, USA

Cadence Design Systems is a global electronic design automation company that provides software, hardware, and intellectual property for designing advanced semiconductor chips. With over 25 years in the industry, Cadence is known for its innovative technology solutions and has been recognized by Fortune Magazine as one of the 100 Best Companies to Work For. The company is dedicated to solving complex technical challenges in order to enable customers to create revolutionary products and experiences.