Description
Join an innovative team in Port Moody as a Distributed Systems Engineer. Help build scalable data processing infrastructure for large circuit designs using Python and C++ in a hands-on environment.
As a Distributed Systems Engineer, you'll engage in developing core infrastructure for a cutting-edge platform. Your focus will be on high-performance data pipelines, orchestration of workflows, and visualizing multi-dimensional simulation results. This position requires collaboration with experienced engineers to tackle production-scale distributed systems challenges.
Key Responsibilities:
• Build ingestion pipelines for large-scale netlists
• Implement high-performance I/O for multi-TB databases
• Optimize task distribution for fault-tolerant scheduling
• Develop scalable visualization techniques
• Enhance load balancing across compute clusters
Requirements:
• 3+ years in distributed systems with Python
• Experience in computing frameworks like Dask or Spark
As a Distributed Systems Engineer, you'll engage in developing core infrastructure for a cutting-edge platform. Your focus will be on high-performance data pipelines, orchestration of workflows, and visualizing multi-dimensional simulation results. This position requires collaboration with experienced engineers to tackle production-scale distributed systems challenges.
Key Responsibilities:
• Build ingestion pipelines for large-scale netlists
• Implement high-performance I/O for multi-TB databases
• Optimize task distribution for fault-tolerant scheduling
• Develop scalable visualization techniques
• Enhance load balancing across compute clusters
Requirements:
• 3+ years in distributed systems with Python
• Experience in computing frameworks like Dask or Spark
Ready to Seal the Deal?
Submit your application today and take the next step in your career with Cadence.
Apply for this Job