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. We need an experienced distributed systems engineer to design the scalable data processing infrastructure for handling massive circuit designs acrossdistributed computing resources.
What Youll Build
Architect and develop the core distributed infrastructure for a Python-based platform orchestrating high-performance C solvers focusing on:
Data Pipeline & I/O Management
- Efficient ingestion pipelines for large-scale netlists and simulation data
- High-performance I/O for multi-TB circuit databases
- Serialization/deserialization layers bridging Python and C components
- Streaming results from distributed solver instances
Job Orchestration & Workflow
- Task distribution architecture with fault-tolerant scheduling for long-running simulations
- Resource management and load balancing across compute clusters
- Monitoring and observability for distributed workflows
- Optimization of task granularity and dependency management
Visualization & Analytics
- Scalable visualization for multi-dimensional TB-scale simulation results
- Interactive data exploration and optimization techniques (downsampling LOD progressive rendering)
Required Expertise
Distributed Systems
- 5 years building production distributed systems with Python
- Deep experience with Dask Distributed or similar frameworks (Spark Ray Celery)
- Strong grasp of distributed computing patterns data locality and fault tolerance
Data Engineering
- Expertise in high-performance I/O (HDF5 Parquet Arrow columnar formats)
- Data partitioning strategies memory-mapped files zero-copy techniques streaming patterns
- Python/C interop (pybind11 Cython ctypes)
Big Data Visualization
- Experience with large-scale scientific/engineering visualization systems
Nice to Have
- Background in EDA VLSI semiconductor design or computational engineering
- HPC experience with job schedulers (Slurm PBS LSF)
- GPU acceleration knowledge
- Familiarity with modern languages tools (Go Plotly Bokeh Holoviews Datashader)
- Open-source distributed computing contributions
Why Join Us
We bring strong expertise in numerical methods and circuit analysis algorithms well-defined solver interfaces and a clear technical vision. Youll build greenfield distributed infrastructure with modern tools designing the scalable foundation that makes advanced analysis capabilities accessible to chip design engineers.
Ideal Candidate
Youre a systems thinker excited about data pipeline architecture and production-scale distributed systems. You understand orchestrating heterogeneous workloads and designing elegant abstractions for distributed computing. You prioritize observability fault tolerance and user experience alongside performance.
No circuit simulation expertise neededthats our strength. We need your expertise building scalable reliable infrastructure.
The annual salary range for California is $154000 to $286000. 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 paid holidays 401(k) plan with employer match employee stock purchase plan a variety of medical dental and vision plan options and more.
Were doing work that matters. Help us solve what others cant.
Required Experience:
Senior IC
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 stron...
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. We need an experienced distributed systems engineer to design the scalable data processing infrastructure for handling massive circuit designs acrossdistributed computing resources.
What Youll Build
Architect and develop the core distributed infrastructure for a Python-based platform orchestrating high-performance C solvers focusing on:
Data Pipeline & I/O Management
- Efficient ingestion pipelines for large-scale netlists and simulation data
- High-performance I/O for multi-TB circuit databases
- Serialization/deserialization layers bridging Python and C components
- Streaming results from distributed solver instances
Job Orchestration & Workflow
- Task distribution architecture with fault-tolerant scheduling for long-running simulations
- Resource management and load balancing across compute clusters
- Monitoring and observability for distributed workflows
- Optimization of task granularity and dependency management
Visualization & Analytics
- Scalable visualization for multi-dimensional TB-scale simulation results
- Interactive data exploration and optimization techniques (downsampling LOD progressive rendering)
Required Expertise
Distributed Systems
- 5 years building production distributed systems with Python
- Deep experience with Dask Distributed or similar frameworks (Spark Ray Celery)
- Strong grasp of distributed computing patterns data locality and fault tolerance
Data Engineering
- Expertise in high-performance I/O (HDF5 Parquet Arrow columnar formats)
- Data partitioning strategies memory-mapped files zero-copy techniques streaming patterns
- Python/C interop (pybind11 Cython ctypes)
Big Data Visualization
- Experience with large-scale scientific/engineering visualization systems
Nice to Have
- Background in EDA VLSI semiconductor design or computational engineering
- HPC experience with job schedulers (Slurm PBS LSF)
- GPU acceleration knowledge
- Familiarity with modern languages tools (Go Plotly Bokeh Holoviews Datashader)
- Open-source distributed computing contributions
Why Join Us
We bring strong expertise in numerical methods and circuit analysis algorithms well-defined solver interfaces and a clear technical vision. Youll build greenfield distributed infrastructure with modern tools designing the scalable foundation that makes advanced analysis capabilities accessible to chip design engineers.
Ideal Candidate
Youre a systems thinker excited about data pipeline architecture and production-scale distributed systems. You understand orchestrating heterogeneous workloads and designing elegant abstractions for distributed computing. You prioritize observability fault tolerance and user experience alongside performance.
No circuit simulation expertise neededthats our strength. We need your expertise building scalable reliable infrastructure.
The annual salary range for California is $154000 to $286000. 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 paid holidays 401(k) plan with employer match employee stock purchase plan a variety of medical dental and vision plan options and more.
Were doing work that matters. Help us solve what others cant.
Required Experience:
Senior IC
View more
View less