Performance Modeling Engineer, Etched

• Expert knowledge in functional modeling of ASICs (TPUs, GPUs, CPUs, or equiv. accelerators)
• Strong command of C++ for modeling with Python familiarity for scripting and automation
• Insights bridging simulation to analysis of complex systems involving multiple domains (e.g., physical link IO / memory / chip firmware / system software / overall performance)
• High interest in learning transformer architecture, developing insight into AI hardware/software co-design
• Passion for AI and a desire to push performance and efficiency boundaries
• Machine learning experience is not required. This role will provide opportunities to ramp on relevant ML concepts on the job
• Bachelor's degree or equivalent practical experience
• 5 years of experience in software development with data structures/algorithms
• 5 years of experience developing and testing software models/simulations of shipping ASICs
• 3 years of experience modeling SoC relevant technologies (DRAM, HBM, I2C, SPI, PCIe, etc.)

Desirable

• Develop and own SoC functional models from architecture to deployment, including integration with infrastructure, thorough testing, and debugging
• Collaborate closely with architecture, RTL design, design verification, emulation, and software teams to ensure alignment and performance
• Innovate tooling and infrastructure to enhance usability and effectiveness for internal and external partners
• Optimize model and infrastructure performance, ensuring scalability for real-world AI workloads
• Create software that is well-documented, maintainable, and reusable, ensuring longevity and ease of future development