Distributed Systems Engineer

Cadence is hiring a Distributed Systems Engineer to build scalable data processing infrastructure for handling massive circuit designs across distributed computing resources. The role involves contributing to the core distributed infrastructure for a Python-based platform orchestrating high-performance C++ solvers, and requires expertise in distributed systems, data engineering, and software engineering.

Requirements

• Distributed Systems: 3+ years building distributed systems with Python
• Experience with distributed computing frameworks (Dask, Spark, Ray, or Celery)
• Understanding of distributed computing patterns, data locality, and fault tolerance
• Data Engineering: Experience with high-performance data formats (HDF5, Parquet, Arrow, or similar columnar formats)
• Familiarity with data partitioning strategies and streaming patterns
• Some exposure to Python/C++ interop (pybind11, nanobind)
• Software Engineering: Strong Python, C++ programming skills with production code experience
• Comfortable working in large codebases and collaborative development environments
• Understanding of software engineering best practices (testing, code review)

Benefits

• Annual salary range: 89,600 CAD to 166,400 CAD
• Incentive compensation: bonus, equity, and benefits
• Competitive On Target Earnings (OTE) incentive compensation structure