At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
About the Role We're 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. 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.
What You'll Build 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
Optimize task 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 (testing, code 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 contemporary 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. 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.
What You'll 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 You're 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. You're 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.
Cadence plays a critical role in creating the technologies that modern life depends on. We are a global electronic design automation company, providing software, hardware,



and intellectual property to design advanced semiconductor chips that enable our customers create revolutionary products and experiences. Thanks to the outstanding caliber of the Cadence team and the empowering culture that we have cultivated for over 25 years, Cadence continues to be recognized by Fortune Magazine as one of the 100 Best Companies to Work For. Our shared passion for solving the world’s toughest technical challenges, our dedication to pushing the limits of the industry, and our drive to do meaningful work differentiates the people of Cadence.
Position Location This is a full-time, on-site position based in Burnaby (Greater Vancouver Area) Canada. In-office attendance is required. The annual salary range for British Columbia is 89,600 CAD to 166,400 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.
Benefits 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
employee and dependent Life insurance
short-term and long-term disability
Global Travel Medical coverage
Business Travel Accident Insurance
funded Lifestyle Spending Account (LSA)
Equal Opportunity Cadence is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, basis of disability, or any other protected class.

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📌 Distributed Systems Engineer (British Columbia)
🏢 Cadence Design Systems
📍 British Columbia