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 experienceStrong understanding of machine learning architecture like systolic arraysBackground in CNN / ViT networksProficiency in Python and C++Strong mathematical foundation in machine learning and deep learningJob Details
Location : San Jose, CA (on-site)Seniority level : Mid-Senior levelEmployment type : Full-timeJob function : Engineering and Information TechnologyIndustries : Software DevelopmentCompensation & 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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