Distributed Systems Engineer

At Cadence we hire and develop leaders and innovators who want to make an impact on the world of technology.

About the Role

Were building a next-generation distributed transistor-level electromigration and IR drop analysis tool. Our team has strong expertise in numerical solvers and circuit simulation algorithms. Were looking for a motivated distributed systems engineer to help build the scalable data processing infrastructure for handling massive circuit designs across distributed computing resources.

What Youll Build

Youll contribute tothe core distributed infrastructure for a Python-based platform orchestrating high-performance C solvers working on:

Data Pipeline & I/O Management

• 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

• Design streaming interfaces for distributed solver results

Job Orchestration & Workflow

• 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

• Optimizetask granularity and dependency management

Required Expertise

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 programming skills with production code experience

• Comfortable working in large codebases and collaborative development environments

• Understanding of software engineering best practices (testingcode review)

Nice to Have

• Background in EDA VLSI semiconductor design or computational engineering

• 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 contributions

• Experience with cloud platforms (AWS GCP Azure)

Why Join Us

We bring strong expertise in numerical methods and circuit analysis algorithms well-defined solver interfaces and a clear technical vision. Youll 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.

What Youll Learn

• Production distributed systems architecture and patterns

• Large-scale data pipeline design and optimization

• Performance engineering for multi-TB datasets

• Building reliable observable infrastructure

• Working with domain experts in circuit simulation and numerical methods

Ideal Candidate

Youre eager to deepen your distributed systems expertise and excited about data pipeline architecture. You have foundational experience with Python distributed computing and want to tackle production-scale challenges. Youre comfortable learning new technologies asking questions and collaborating with both systems and domain experts. You value clean code observability and user experience alongside performance.

No circuit simulation expertise needed. We need your enthusiasm for building scalable reliable infrastructure and your willingness to grow into a distributed systems expert.

Position Location

• This is a full-time on-site position based in Port Moody (Greater Vancouver Area) -office attendance is required.

The annual salary range for British Columbia is 89600 CAD to 166400 CAD.

You may also be eligible to receive incentive compensation: bonus equity and benefits. 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.

Our benefits programs include: paid vacation and holidays leave of absence programs Registered Retirement Savings Plan (RRSP) Tax Free Savings (TFSA) plan for post-tax investment savings Employee Stock Purchase Plan group health coverage that includes dental vision and Emotional Wellbeing Support (EAP) benefits for you and your eligible dependents. Cadence also offers employee and dependent Life insurance and short-term and long-term addition Cadence provides Global Travel Medical coverage Business Travel Accident Insurance and a funded Lifestyle Spending Account (LSA).

Were doing work that matters. Help us solve what others cant.