Distributed Systems Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Distributed Systems Engineer (Backend): Building scalable data processing infrastructure for high-performance circuit simulation with an accent on data pipelines, job orchestration, and multi-TB dataset management. Focus on bridging Python and C++ components to ensure system reliability and performance across distributed compute clusters.
Location: Must be based in Port Moody (Greater Vancouver Area), Canada. This is an on-site position.
Salary: 89,600 CAD – 166,400 CAD
Company
A leader in technology innovation specializing in numerical solvers and circuit simulation algorithms.
What you will do
- Build ingestion pipelines for large-scale netlists and simulation data.
- Implement high-performance I/O for multi-TB circuit databases.
- Develop task distribution and fault-tolerant scheduling for long-running simulations.
- Create resource management and load balancing solutions for compute clusters.
- Develop scalable visualization tools for multi-dimensional simulation results.
- Bridge Python and C++ components using serialization and interop layers.
Requirements
- 3+ years of experience building distributed systems with Python.
- Strong programming skills in Python and C++.
- Experience with distributed computing frameworks like Dask, Spark, Ray, or Celery.
- Familiarity with high-performance data formats such as HDF5, Parquet, or Arrow.
- Understanding of distributed computing patterns, data locality, and fault tolerance.
- Must be able to work on-site in Port Moody, Canada.
Nice to have
- Background in EDA, VLSI, or semiconductor design.
- HPC experience with job schedulers like Slurm, PBS, or LSF.
- Knowledge of GPU acceleration.
- Experience with cloud platforms (AWS, GCP, Azure).
- Familiarity with Go or scientific visualization tools.
Culture & Benefits
- Opportunity to work on greenfield distributed infrastructure.
- Exposure to production-scale distributed systems architecture.
- Collaborative environment working alongside domain experts in numerical methods.
- Competitive compensation including bonus, equity, and benefits.
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