Create performance optimized kernels for companys machine learning template library; engage in hardware-software codesign cross-team reviews and drive product-impacting features; map ML applications and operations to companys remote data unit hardware architecture for functionality and full end-to-end performance; maintain/optimize memory access patterns for various machine learning models; engineer new testing infra to scale hardware architectural level MP OP testing; develop, maintain testing suites for achieving on-chip ML OP functionality robustness; triage/debug customer facing models regarding memory access mapping and implementation problems; engage and plan for company load/ store template roadmap; collaborate across companys compiler teams and drive/bringup new features.
A Bachelor's degree in Electrical Engineering & Computer Science or Computer Science or Computer Engineering or Electrical and Computer Engineering or Computer Science and Engineering or a related field or major is required.

Please copy and paste your resume in the email body do not send attachments, we cannot open them and email them at candidates at (link removed) with reference #379552 in the subject line.
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