Principal Software Engineer

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

Key Responsibilities Automation Framework Ownership

• Own, maintain, and enhance the end-to-end automation flow used to:
• Compile neural networks using the XNNC compiler.
• Run generated RTL binaries on Palladium Z3 emulation.
• Drive Joules gate-level power analysis.

• Develop and maintain the Python, CSH, and Bash scripts that integrate and orchestrate the flow.
• Add support for new AI network configurations, hardware accelerator variants, reference builds, and EDA tool revisions.
• Maintain current documentation, patches, reference configurations, and reproducible build instructions.
• Identify, debug, and resolve automation, infrastructure, and tool-integration issues across the workflow.

Performance and Power Collateral Generation

• Generate complete performance and power collateral for each neural network processed through XNNC.
• Collect and summarize:
• Cycle count, frames per second (FPS), and memory-bandwidth metrics from XTSC simulation.
• End-to-end performance metrics from Palladium emulation.
• Dynamic power estimates, including total and memory power, from Joules gate-level analysis.

• Deliver results consistently across reference builds in standard formats, including cycle-count CSVs, power CSVs, and consolidated summary reports.