Univ
Distributed Systems Engineer
PORT MOODY 01 (VANCOUVER) · Full-time
Sponsorship not specifiedDetected 15 days ago
PythonC++Distributed SystemsAlgorithmsCode ReviewAWSGCPAzureCloud PlatformsSparkData EngineeringData VisualizationCadenceSystems EngineeringLoad Balancing
About the role
- Our team has strong expertise in numerical solvers and circuit simulation algorithms.
- You'll contribute to the core distributed infrastructure for a Python-based platform orchestrating high-performance C++ solvers, working on:
- Understanding of distributed computing patterns, data locality, and fault tolerance
Responsibilities
- Build ingestion pipelines for large-scale netlists and simulation data
- Develop serialization/deserialization layers bridging Python and C++ components
- Design streaming interfaces for distributed solver results
- 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
- Develop scalable visualization for multi-dimensional TB-scale simulation results
- Implement interactive data exploration with optimization techniques (downsampling, LOD, progressive rendering)
- You'll work alongside experienced engineers building greenfield distributed infrastructure with modern tools.
- This is an opportunity to grow your expertise in production-scale distributed systems while solving challenging problems in chip design.
Requirements
- Experience with distributed computing frameworks (Dask, Spark, Ray, or Celery)
- Experience with high-performance data formats (HDF5, Parquet, Arrow, or similar columnar formats)
- You have foundational experience with Python distributed computing and want to tackle production-scale challenges.
Nice to have
- Experience with scientific/engineering data visualization
- HPC experience with job schedulers (Slurm, PBS, LSF)
- GPU acceleration knowledge
- Familiarity with modern tools (Go, Plotly, Bokeh, Holoviews, Datashader)
- Open-source distributed computing or other contributions
- Experience with cloud platforms (AWS, GCP, Azure)
- Production distributed systems architecture and patterns
- Performance engineering for multi-TB datasets
Skills
- Implement high-performance I/O for multi-TB circuit databases
- Strong Python, C++ programming skills with production code experience
Compensation
- Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure.
- Please note that the salary range is a guideline and compensation may vary based on factors such as qualifications, skill level, competencies and work location.
Benefits
- We bring strong expertise in numerical methods and circuit analysis algorithms, well-defined solver interfaces, and a clear technical vision.
Company info
- At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
- 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.
This listing is sourced directly from Univ's careers page and normalized into a canonical job model.