SiMa.ai
Sr. Engineer, Machine Learning Accelerator (MLA) Modeling (AI2432)
SiMa.ai, San Jose, California, United States, 95199
Overview
Sr. Engineer, Machine Learning Accelerator (MLA) Modeling (AI2432) at SiMa.ai. This position is on-site in San Jose, CA. Job Number: AI2432 Responsibilities
Partner with the Architecture team to develop and maintain the performance and power analysis tool. Adapt the tool to analyze key performance and power drivers in SiMa.ai’s MLA architecture for relevant neural networks like ViTs. Coarsely model key IPs like the DMA/DRAM in the MLSoC to address performance and power issues. Work with the MLSOc architecture team to optimize the performance of the SiMa.ai MLA: reduce local memory requirements, increase DMA throughput and overall efficiency. Identify HW/SW trade-offs/enhancements and work with the compiler/tool chain team and silicon team to implement them in our next-generation products. Contribute to the performance roadmap for SiMa.ai’s next-generation MLA architecture. Research, scope, and analyze the interplay of hardware and software architectures in targeted applications. Qualifications
MS or PhD in Computer Architecture, with at least 2 years of work experience Strong understanding of machine learning architecture like systolic arrays Background in CNN/ViT networks Proficiency in Python and C++ Strong mathematical foundation in machine learning and deep learning Job Details
Location: San Jose, CA (on-site) Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Software Development Compensation & EEO
The annual salary for this position ranges from $140,000 to $194,000, based on factors including skills, experience, qualifications, location, and market conditions. SiMa is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status or any other protected classification.
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Sr. Engineer, Machine Learning Accelerator (MLA) Modeling (AI2432) at SiMa.ai. This position is on-site in San Jose, CA. Job Number: AI2432 Responsibilities
Partner with the Architecture team to develop and maintain the performance and power analysis tool. Adapt the tool to analyze key performance and power drivers in SiMa.ai’s MLA architecture for relevant neural networks like ViTs. Coarsely model key IPs like the DMA/DRAM in the MLSoC to address performance and power issues. Work with the MLSOc architecture team to optimize the performance of the SiMa.ai MLA: reduce local memory requirements, increase DMA throughput and overall efficiency. Identify HW/SW trade-offs/enhancements and work with the compiler/tool chain team and silicon team to implement them in our next-generation products. Contribute to the performance roadmap for SiMa.ai’s next-generation MLA architecture. Research, scope, and analyze the interplay of hardware and software architectures in targeted applications. Qualifications
MS or PhD in Computer Architecture, with at least 2 years of work experience Strong understanding of machine learning architecture like systolic arrays Background in CNN/ViT networks Proficiency in Python and C++ Strong mathematical foundation in machine learning and deep learning Job Details
Location: San Jose, CA (on-site) Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Software Development Compensation & EEO
The annual salary for this position ranges from $140,000 to $194,000, based on factors including skills, experience, qualifications, location, and market conditions. SiMa is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status or any other protected classification.
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