AI/ML Accelerator Modeling Engineer, Silicon

Job description

Architect and drive the software infrastructure and architecture for on-device AI/ML accelerators. Implement, model, analyze, and rigorously test C-models for on-device ML accelerators. Develop and maintain robust software environments to support ML accelerator development, testing, and simulation. Lead the end-to-end delivery of sophisticated ML accelerator C-models, directly supporting hardware implementation and verification efforts. Collaborate cross-functionally with hardware architects, design verification, firmware, and compiler teams to build cycle-approximate models for ML accelerators. Minimum Qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. 4 years of experience with software development using C, C++ or Python. Experience in AI/ML accelerator architecture or reference C-model development. Preferred Qualifications: Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture. Experience in silicon engineering and performance characterization. Experience in reference C-model development, performance analysis, and the use of simulation frameworks and profiling tools. Experience with CPU or ML accelerator architectures. Programming proficiency in C/C++ and Python, specifically applied to system-level modeling and performance optimization. Exceptional problem-solving abilities and excellent communication skills, with a proven track record of dissecting complex issues and fostering cross-functional collaboration with engineering teams and leadership.