About the role
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.
- Validate result quality, consistency, and reproducibility before collateral is shared with stakeholders.
Team Enablement and Support
- Serve as the primary internal point of contact for users of the COLLATERAL-AUTO project.
- Onboard new users and provide guidance on running the XNNC, Palladium, and Joules workflow.
- Debug user runs and triage issues related to environments, scripts, CAD/EDA tools, and flow configuration.
- Review performance and power summaries for correctness, completeness, and consistency.
- Improve team-wide productivity by creating reusable guidance, troubleshooting documentation, and reliable reference workflows.
Required Qualifications
Experience
- 10+ years of experience in various embedded software or general software development roles.
- 3+ years of experience with AI frameworks, AI network compilation, or related tooling.
- Experience with one or more of: TensorFlow, PyTorch, ONNX, Apache TVM, or AI network compilers.
Technical Expertise
- Strong Python scripting skills.
- Proficiency with CSH and Bash shell scripting.
- Working knowledge of JSON and automation-oriented configuration formats.
- Understanding of hardware edge-AI accelerators, RTL execution flows, and performance analysis.
- Familiarity with debugging complex software, toolchain, and multi-stage automation issues.
Education
- Bachelor’s or Master’s degree in Software Engineering, Electronics Engineering, Electrical Engineering, Computer Engineering, or a related discipline.
Preferred Qualifications
- Experience using AI-assisted development tools for rapid prototyping and effective technical prompting.
- Experience with Cadence tools, including Palladium and Joules, or equivalent EDA/emulation/power-analysis workflows.
- Familiarity with IP design platforms, RTL simulation or emulation, gate-level power analysis, and AI accelerator validation.
- Strong written communication skills for producing technical documentation, runbooks, and performance/power reports.
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Aplyr's read
Cadence Design Systems excels in electronic design automation, attracting professionals passionate about integrated circuits and system-on-chip innovations.
What's promising
- •Cadence is a leader in electronic design automation, providing cutting-edge tools for semiconductor design.
- •The company offers diverse career paths, from digital verification to automotive solutions engineering.
- •Cadence's global presence provides opportunities for international collaboration and growth.
What to watch
- •The niche focus on EDA may limit opportunities for those seeking broader tech roles.
- •High competition in the semiconductor industry could impact job stability and growth.
- •Frequent technical updates require continuous learning, which may be challenging for some employees.
Why Cadence Design Systems
- •Cadence's software is integral to designing advanced integrated circuits and systems on chips.
- •The company has a strong reputation for innovation in electronic design automation.
- •Cadence's partnerships with leading tech firms enhance its influence in the semiconductor industry.
Aplyr’s read is generated by AI from public sources. Was it useful?
About Cadence Design Systems
Cadence Design Systems provides electronic design automation (EDA) software and engineering services for the design of integrated circuits, systems on chips, and printed circuit boards.
