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Distributed Systems Engineer (Python)

7 467 - 13 867CAD
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Distributed Systems Engineer (Python): Building scalable data processing infrastructure for a next-generation transistor-level electromigration and IR drop analysis tool with an accent on data pipelines and high-performance I/O. Focus on orchestrating high-performance C++ solvers via Python and implementing fault-tolerant task scheduling across compute clusters.

Location: On-site in Burnaby (Greater Vancouver Area), Canada. In-office attendance is required.

Salary: 89,600 CAD – 166,400 CAD

Company

hirify.global provides industry-leading electronic design automation (EDA) software and hardware for semiconductor and system design.

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 serialization/deserialization layers bridging Python and C++ components.
  • Implement task distribution with fault-tolerant scheduling for long-running simulations.
  • Develop resource management, load balancing, and observability for distributed workflows.
  • Optimize task granularity and dependency management.

Requirements

  • 3+ years of experience building distributed systems with Python.
  • Experience with distributed computing frameworks such as Dask, Spark, Ray, or Celery.
  • Experience with high-performance data formats (HDF5, Parquet, Arrow, or similar columnar formats).
  • Familiarity with Python/C++ interop using pybind11 or nanobind.
  • Strong production-level Python programming skills and software engineering best practices.
  • Must be based in or able to work on-site in Burnaby, Canada.

Nice to have

  • Background in EDA, VLSI, semiconductor design, or computational engineering.
  • Experience with HPC job schedulers (Slurm, PBS, LSF).
  • Knowledge of GPU acceleration.
  • Experience with cloud platforms (AWS, GCP, Azure).
  • Familiarity with Go or visualization tools like Plotly, Bokeh, and Datashader.

Culture & Benefits

  • Comprehensive health coverage including dental, vision, and Emotional Wellbeing Support (EAP).
  • Financial planning options including RRSP and TFSA plans.
  • Employee Stock Purchase Plan (ESPP).
  • Paid vacation, holidays, and leave of absence programs.
  • Funded Lifestyle Spending Account (LSA).
  • Global Travel Medical and Business Travel Accident Insurance.

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