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Job Description
Structured overview of role & requirementsAbout This Role
Own and enhance the end-to-end automation framework integrating AI network compilation, hardware emulation, and power analysis workflows.
Generate and validate performance and power collateral metrics for neural networks using XTSC simulation, Palladium emulation, and Joules gate-level analysis.
Provide primary internal support and enablement for the COLLATERAL-AUTO project users, including onboarding, issue triage, and documentation development.
Minimum Requirements
10+ years of software development experience, including 3+ years with AI frameworks or AI network compilation tools.
Strong Python scripting skills; proficiency with CSH and Bash shell scripting.
Bachelor's or Master's degree in Software Engineering, Electronics, Electrical, Computer Engineering, or related field.
Experience with TensorFlow, PyTorch, ONNX, Apache TVM, or AI network compilers and understanding of hardware edge-AI accelerators and RTL execution flows.
Ideal Candidate Profile
Experienced in managing complex automation frameworks for AI network compilation and hardware validation workflows in an EDA or semiconductor context.
Comfortable troubleshooting and debugging multi-stage automated workflows involving software, toolchains, and hardware simulation/emulation.
Skilled at producing technical documentation, runbooks, and standardized reports to support team enablement and stakeholder communication.